Ø  To understand the concept, process and importance of effective business communication.

Ø  To demonstrate verbal and non-verbal communication ability through presentations.

Ø  To identify key principles of effective public speaking and develop skills in listening actively and empathetically.

Ø  To evaluate the appropriate usage of informative business messages and writes an informative business message.

Ø To prepare and present effective presentations aided by ICT tools and able to compose e-mail, Resume, formal reports and business letters.

1. Lesikar, R.V., Flatley, M.E., Rentz, K., Lentz, P. and Pande, N. 2015, “Business Communication”, 13th Edition, New Delhi: McGraw Hill Education.
2. Raman, M. and Singh, P. 2012, “Business Communication”, 2nd Edition, New Delhi: Oxford University Press.

Other References:-

1. Chaturvedi, P.D. and Chaturvedi M. 2011, “Business Communication, Concepts: Cases and Applications, 2nd Edition, Pearson Education, India.
2. Mukerjee, H.S. 2013, “Business Communication”, 2nd Edition, OUP India.

1. To familiarize the students with concepts and techniques used in Micro-Economic Theory.
2. To develop their capability to apply these concepts and techniques in making decisions pertaining to different business situations.
3. To describe the relationship between various types of cost curves.
4. To evaluate the differences between different types of market structures.
5. To learn real case scenarios to implicate in real life.

1. Salvatore, D. 2014, “Managerial Economics in a Global Economy”, 8th edition, New Delhi: Thomson South-Western.
2. Samuelson, A.P. and Nardhas, W.D. 2010, “Economics”, 19th, New Delhi, McGraw Hill Education.

Other References:-

1. Dholakia, R.H. and Oza, A.N. 2003, “Microeconomics for Management Students”, New Delhi: Oxford University Press.
2. Gupta, G.S. 2003, “Managerial Economics”, New Delhi: McGraw Hill Education.
3. Keat, P. and Banerjee, S. 2010, “Managerial Economics: Economic Tools for Today’s Decision Makers”, 6th            Edition, New Delhi: Pearson Education.
4. Kreps, D.M. 2004, “Microeconomics for Managers”, New Delhi: W.W. Norton and Company.

Ø  To understand the fundamentals of management accounting and its distinction from financial and cost accounting.

Ø  To explore various costing techniques and their application in managerial decision-making.

Ø  To develop the ability to prepare budgets and apply budgetary control methods.

Ø  To analyze cost variances and interpret performance reports for effective management.

Ø To evaluate responsibility accounting systems and apply transfer pricing concepts in business decisions.

1. Khan, M.Y. and Jain, P.K. 2103, “Management Accounting: Text, Problems and Cases”, 6^th Edition, New Delhi: McGraw Hill Education.
2. Rustagi, R.P. 2016, “Management Accounting” 2^nd edition, New Delhi, Taxmann Publications P. Ltd.

Other References:-

1. Colin, D. 2005, “Management Accounting for Business”, 3rd  Edition, Thomson, India
2. Pandey, I.M. 2009, “Management Accounting”, New Delhi: S. Chand and Sons.
3. Pauline, W. 2006, “Financial and Management Accounting”, 7th  Edition, Pearson HEducation

Ø  To introduce the fundamental concepts of management and organizational behavior, including structure, functions, and the role of managers.

Ø  To develop an understanding of individual behavior in organizations through concepts like personality, perception, learning, attitude, and motivation.

Ø  To explore group dynamics, leadership styles, communication, and power structures, and their influence on organizational effectiveness.

Ø  To evaluate key organizational processes such as climate, job satisfaction, change management, conflict resolution, and development.

Ø To equip students with the ability to manage modern organizational challenges including stress, innovation, and cross-cultural diversity.

1. Luthans, F. 2013, “Organizational Behavior-An Evidence-Based Approach”, 12th Edition, New Delhi, McGraw Hill Education.
2. Robbins, S.P., Judge, T.A. and Vohra, N. 2017, “Organizational Behavior”, 16th  Edition, New Delhi, Pearson Education.

Other References:-

1. Newstrom, J.W. 2007, “Organizational Behavior-Human Behavior at Work”, 12th Edition, New Delhi, McGraw Hill Education.
2. Pareek, U. and Khanna, S. 2011, “Understanding Organizational Behavior”, 3rd Edition, New Delhi, Oxford University Press.
3. Parikh, M. and Gupta, R. 2010, “Organizational Behavior”, McGraw Hill Education.

Ø To understand comprehensive and practical introduction to marketing management.

Ø To improve their ability to make effective marketing decisions.

Ø To assessing marketing opportunities

Ø To developing marketing strategies and implementation plans.

Ø To create practical knowledge among all the students

1. Kotler, P. and Keller, K.L. 2016, “Marketing Management”, 15th Edition, New Delhi: Pearson Education.
2. Saxena, Rajan. 2019, “Marketing Management”, 6th Edition, McGraw Hill Education

Other References:-

1. Grewal, D. and Levi, M. “Marketing,” 5th Edition, Chennai: McGraw Hill Education.
2. Kotler, P., Jain, D.C. and Measincee, S. 2002, “Marketing Moves: A New Approach to Profit Growth and Renewal”, Boston: Harvard Business School Press.

Ø  To understand the fundamental concepts and methods of business research.

Ø  To develop skills in defining research problems and designing research studies.

Ø  To gain knowledge in sampling techniques, data collection methods, and data analysis.

Ø  To learn to apply various statistical techniques in business research.

Ø  To foster ethical practices in conducting business research and reporting findings.

1.      Cooper, D. R., & Schindler, P. S. 2014. Business Research Methods 12th ed.. McGraw-Hill Education.

2.      Zikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. 2013. Business Research Methods 9th ed. Cengage Learning.

Other References:-

1.      Bryman, A., & Bell, E. 2015. Business Research Methods 4th ed.. Oxford University Press.

2.      Sekaran, U., & Bougie, R. 2016. Research Methods for Business: A Skill-Building Approach 7th ed.. Wiley.

Ø  To understand core finance functions such as investment decisions, financing, working capital management, and dividend policy.

Ø  To apply the concept of time value of money in capital budgeting and other financial decision-making.

Ø  To analyze the effects of leverage, cost of capital, dividend policy, and working capital on a firm’s financial performance.

Ø  To evaluate financial strategies that support effective decision-making within an organization.

Ø To develop integrated financial, strategic, and tactical plans for informed organizational decision-making.

1. Financial Management, I. M. Pandey, Latest Edition, Vikas Publication
2. Principles of Corporate Finance, Richard A. Brealey, Stewart C. Myers, Franklin Allen and Pitabas Mohanty, Latest Edition, Tata McGraw Hill

Other References:-

1. Financial Management, Srivastava & Misra, Oxford University Press, New Delhi.
2. Financial Management – Theory and Practice, Chandra, Prasanna, Latest Edition, Tata McGraw-Hill Publishing Company, New Delhi
3. Fundamentals of Financial Management, Van Horne & Wachowicz Jr., Latest Edition, Pearson Education, New Delhi
4. Fundamentals of Financial Management, Briham & Houston, Latest Edition, Thomson Business Information India P Ltd., New Delhi

Ø   To understand the conceptual framework of Human Resource Planning.

Ø  To understand the process methods and techniques for HRP.

Ø  To identify individual performance deficiencies and developmental needs in planning and developing training and HRD programs

Ø  To develop an understanding of the significance and importance of implementation & evaluation in real-life and HRD Applications.

Ø To Enable the students to integrate the understanding of various HR concepts and the latest trends along with the domain concept to make correct business decisions

1.      Aswathappa, K. Human Resource Management. Tata McGraw-Hill

2.      David A. DeCenzo and Stephen P. Robbins. Fundamentals of Human Resource management

3.      Werner & Desimone: Human Resource Development; Cengage Learning – 2006.

4.      Udai Pareek & T V Rao, Designing and Managing Human Resource Systems, ISBN: 9788120416109, CBS publishers,2015

5.      David Mankin: Human Resource Development; Oxford, 2009.

Other References:-

1.      Jon M. Werner and Randy L. Desimone : Human Resource Development , ISBN-13: 978-0-538-48099-4, ISBN-10: 0-538-48099-8

2.      William E. Blank, HANDBOOK FOR DEVELOPING COMPETENCY BASTRAININGPROGRAMMES, Prentice-Hall, New Jersey, 1982.

3.      Uday Kumar Haldar, HUMAN RESOURCE DEVELOPMENT, Oxford University Press, 2009.

Ø  To understand and explain operational concepts across various business environments.

Ø  To analyze key operational issues such as facility location, layout design, project management, capacity planning, and process planning.

Ø  To evaluate the role of quality assurance and control in achieving business effectiveness.

Ø  To design and implement operational strategies that enhances organizational efficiency and effectiveness.

Ø To develop comprehensive plans for achieving Operational Excellence in a competitive business landscape.

1. Heizer, J., & Render, B. 2022. Operations Management: Sustainability and Supply Chain Management 16th ed.. Pearson Education.
2. Krajewski, L. J., Malhotra, M. K., & Ritzman, L. P. 2021. Operations Management: Processes and Supply Chains 12th ed.. Pearson Education.

Other References:-

1. Schroeder, R. G., Goldstein, S. M., & Rungtusanatham, M. J. 2021. Operations Management: Contemporary Concepts and Cases 10th ed.. McGraw-Hill Education.
2. Stevenson, W. J. 2018. Operations Management 13th ed.. McGraw-Hill Education.

Ø  To develop a comprehensive understanding of the legal environment of business.

Ø  To acquaint students with key laws affecting business operations.

Ø  To equip students with the ability to apply legal principles in business decisions.

Ø  To foster awareness of the legal and ethical responsibilities in business.

Ø  To prepare students for real-world legal challenges in the business context.

1. M.C. Kuchhal & Vivek Kuchhal, Business Law, Vikas Publishing House, 6th Edition, 2018.
2. Akhileshwar Pathak, Legal Aspects of Business, McGraw Hill Education, 7th Edition, 2018.

Other References:-

1. P.P.S. Gogna, A Textbook of Business Law, S. Chand Publishing, 2nd Edition, 2016.
2. Avtar Singh, Company Law, Eastern Book Company, 17th Edition, 2021.
3. N.D. Kapoor, Elements of Mercantile Law, Sultan Chand & Sons, 38th Edition, 2020.

Ø  To understand the core concepts and frameworks of strategic management.

Ø  To analyze internal and external business environments for strategy formulation.

Ø  To evaluate and implement strategies for achieving competitive advantage.

Ø  To build critical thinking and strategic decision-making abilities.

Ø  To apply strategic management principles across diverse business scenarios.

1. Thompson, A.A., Strickland, A.J., & Gamble, J.E. – “Crafting and Executing Strategy: The Quest for Competitive Advantage” – McGraw-Hill Education, 21st Edition, 2015.
2. Hill, C.W.L., & Jones, G.R. – “Strategic Management: An Integrated Approach” – Cengage Learning, 12th Edition, 2018.

Other References:-

1. Johnson, G., Whittington, R., Scholes, K. – “Exploring Strategy: Text and Cases” – Pearson Education, 11th Edition, 2017.
2. Porter, M.E. – “Competitive Strategy: Techniques for Analyzing Industries and Competitors” – Free Press, 2008.

⮚       To understand the fundamental concepts of security analysis and portfolio management.

⮚       To learn various investment strategies, including asset allocation and risk management.

⮚       To master the techniques of evaluating securities, including equity, bonds, and derivatives.

⮚       To analyze the role of market efficiency in the pricing of financial assets.

⮚       To develop practical skills in portfolio construction and management.

1. Security Analysis by Benjamin Graham and David Dodd.
2. Investments by Zvi Bodie, Alex Kane, and Alan J. Marcus.
3. Portfolio Management by Prasanna Chandra.
4. Security Analysis and Portfolio Management by Donald E. Fischer and Ronald J. Jordan.

Other References:-

Relevant online resources, current articles, and reports on security analysis and portfolio management.

Ø  To understand the global financial environment and international monetary systems

Ø  To develop expertise in foreign exchange markets and risk management

Ø  To comprehend international capital budgeting and multinational working capital management

Ø  To analyze international funding sources and global financial markets

Ø  To evaluate cross-border merger and acquisition strategies

1. International Financial Management, Cheol S Eun and Bruce G Resnick, Fourth Edition, McGraw Hill
2. International, Thomas J. O’brien, Second Edition, Oxford University Press
3. International Financial Management, P G Apte, Latest Edition, Tata McGraw Hill

Other References:-

1. International Finance: Theory and Practice, P. Sercu, Latest Edition, Princeton University Press
2. Multinational Business Finance, Eiteman, Stonehill, and Moffett, Latest Edition, Pearson Education
3. International Financial Markets and Securities, BTake, Latest Edition, Routledge
4. Global Corporate Finance, Suk Kim and Seung Kim, Latest Edition, Wiley

Ø  To provide a comprehensive understanding of the concepts and practices of Human Resource Planning (HRP) and Development.

Ø  To develop analytical and strategic thinking skills for workforce planning and managing talent.

Ø  To equip students with the ability to design and evaluate HR development programs.

Ø  To enable students to analyze HR challenges and apply innovative solutions for organizational growth.

Ø  To enhance students’ ability to link HR planning with overall business strategies effectively.

1.      Dessler, G. (2020). Human Resource Management. References: Armstrong, M. (2014). A Handbook of Human Resource Management Practice.

2.      Mathis, R. & Jackson, J. (2019). Human Resource Management.

3.      Cascio, W. (2022). Managing Human Resources.

4.      Bratton, J., & Gold, J. (2017). Human Resource Management: Theory and Practice.

Other References:-

1.      Ulrich, D. (2013). HR from the Outside In.

2.      Bersin, J. (2021). Future of Work: HR Predictions for the New Decade.

3.      Dowling, P. J., & Welch, D. E. (2019). International Human Resource Management.

4.      Fitz-enz, J. (2017). The New HR Analytics.

5.      Collings, D. G., & Mellahi, K. (2022). Global Talent Management.

Ø  To remember some of the basic definitions and principles of industrial relations that relate to its objectives and evolutionary labor legislation.

Ø  To understand key laws related to industrial relations, workers’ participation, and grievance handling.

Ø  To apply labor legislation and framework to case study and scenario application in their interpretation within the workplace

Ø  To analyse complex legal circumstances like collective bargaining and industrial disputes on the impact made in the employee-organization relations.

Ø  To assess the effectiveness of labor laws on employment conditions, social security, and disciplinary practices in organizations.

Sexual harassment of women in workplace Nature of problem, Supreme Court’s guidelines on this issue

1.      Mamoria, C.B., Satish Mamoria, and S.V Gankar., (1997), Dynamics of Industrial Relations, Himalaya Publishing House, New Delhi

2.      C.S. Venkata Ratnam & Manoranjan Dhal , Industrial relations, 2 E, 2017, Oxford publication.

3.      P Subba Rao Satish Mamoria , Dynamics of Industrial relations, 2016, Himalaya Publishing house.

4.      P.R.N. Sinha, Sinha Indu Bala , Shekhar Seema Priyadarshini, Industrial Relations, Trade Unions and Labour Legislations, , 3rd edition, 2017, Pearson Education.

Other References:- (Journals/ periodical, /magazine/ web resource):

1.      Journal of Management of Industrial Relations, Human Capital

2.      e-bulletin: Available on ICSI website – www.icsi.edu

3.      Chartered Secretary: The ICSI, New Delhi-110 003. (Monthly)

4.      All India Reporter: All India Reporter Ltd., Congress Nagar, Nagpur D.O. Sethi J: Commentaries of lndustrial Disputes Act, 1947. Vol., 1& 2, Law Publishing House, Allahabad.

Ø  To understand the fundamental principles of sales and distribution management.

Ø  To learn the strategies and processes involved in managing a sales force effectively.

Ø  To analyse distribution channels and their significance in ensuring product availability.

Ø  To develop skills in sales planning, forecasting, and territory management.

Ø  To explore the role of technology and analytics in sales and distribution operations.

1.      Still, Cundiff, and Govoni, “Sales Management: Decisions, Strategies, and Cases,” Pearson.

2.      S.L. Gupta, “Sales and Distribution Management,” Excel Books.

3.      Panda and Sahdev, “Sales and Distribution Management,” Oxford University Press.

4.      Tapan Panda, “Marketing Management: Sales and Distribution Management,” Excel Books.

Other References:-

1.      Relevant online resources, case studies, and industry reports on sales and distribution management.

Ø  To understand the psychological, social, and cultural factors that influence consumer behaviour.

Ø  To analyze how consumers make purchasing decisions.

Ø  To assess the effects of digital transformation on consumer behaviour.

Ø  To apply consumer behaviour theories to real-world marketing strategies.

Ø  To enhance marketing effectiveness through insights into consumer behaviour.

1.      Schiffman, L.G., & Kanuk, L.L. (2020). Consumer Behavior. Pearson Education.

2.      Solomon, M.R. (2019). Consumer Behavior: Buying, Having, and Being. Pearson.

3.      Blackwell, R.D., Miniard, P.W., & Engel, J.F. (2018). Consumer Behavior. Cengage Learning.

Other References:-

1.      Hawkins, D.I., Mothersbaugh, D.L., & Best, R.J. (2020). Consumer Behavior: Building Marketing Strategy. McGraw-Hill Education.

2.      Assael, H. (2018). Consumer Behavior and Marketing Action. Cengage Learning.

3.      Kotler, P., & Keller, K.L. (2020). Marketing Management. Pearson Education.

Ø To demonstrate knowledge of the fundamental principles of logistics and supply chain management, including the flow of goods, services, and information from origin to consumption.

Ø To identify the key concepts and components of network design, including facility location decisions and network operations planning.

Ø To evaluate and select appropriate transportation and distribution strategies to enhance customer satisfaction and reduce costs.

Ø To analyze the structure and functioning of a generalized supply chain model.

Ø To utilize modern technology and data analytics tools to improve supply chain visibility, efficiency, and performance.

BTL 2 & 3 – Understanding & Applying

BTL 3 & 4 – Applying & Analyzing

1. Ronald H. Ballou, Samir K. Srivastava (2012). Business Logistics/Supply Chain Management. Pearson Education
2. M. Christopher (2011).Logistics and Supply Chain Management. Second Edition, Pearson Education.
3. Bowersox, D.J. and D.J. Closs, Logistical Management: The Integrated Supply Chain Process,

Ø  To understand the foundations and components of retail logistics systems.

Ø  To develop expertise in inventory management, warehouse operations, and distribution networks.

Ø  To explore the application of technology in enhancing retail logistics efficiency.

Ø  To comprehend global and sustainable logistics practices.

Ø  To analyse emerging trends and challenges in retail logistics.

1. Retail Supply Chain Management: Quantitative Models and Empirical Studies by Narendra Agrawal and Stephen A. Smith
2. Logistics and Retail Management: Emerging Issues and New Challenges in the Retail Supply Chain by John Fernie and Leigh Sparks
3. Supply Chain Management for Retailing by Ray R. Venkataraman and Omkarprasad S. Vaidya

Other References:-

1.      Introduction to Logistics Systems Management by Gianpaolo Ghiani, Gilbert Laporte, and Roberto Musmanno

2.      The Handbook of Logistics and Distribution Management by Alan Rushton, Phil Croucher, and Peter Baker

3.      Strategic Supply Chain Management: The Five Disciplines for Top Performance by Shoshanah Cohen and Joseph Roussel

4.      Sustainable Logistics and Supply Chain Management by David B. Grant, Alexander Trautrims, and Chee Yew Wong

Ø  To understand the principles and components of financial analytics systems

Ø  To develop expertise in financial data analysis, predictive modeling, and decision-making.

Ø  To explore the application of technology in financial analytics.

Ø  To comprehend risk management and sustainability in financial operations.

Ø  To analyze emerging trends and innovations in financial analytics

1.      Financial Analytics with R by Mark Bennett and Dirk Hugen.

2.      Machine Learning for Asset Managers by Marcos López de Prado.

3.      Data Science for Business by Foster Provost and Tom Fawcett.

Other References:-

1.      Financial Analytics with R by Mark Bennett and Dirk Hugen

2.      Applied Financial Modelling by Mohamed El Alaoui

3.      The Handbook of Financial Risk Management by Thierry Roncalli

Ø  To understand the basics of Artificial Intelligence and its impact on modern businesses.

Ø  To analyze various AI tools and technologies and their relevance in different industries.

Ø  To identify and implement AI-driven decision-making strategies in managerial roles.

Ø  To address ethical, legal, and practical considerations associated with AI integration.

Ø  To apply AI-based solutions for business optimization and innovation.

1.      “Artificial Intelligence: A Modern Approach”, Stuart Russell, Peter Norvig, 4th Edition, Pearson Education India

2.      Machine Learning: A Practical Approach for Beginners, Sunila Gollapudi, 1st Edition, McGraw Hill India

Other References:-

1.      Python Machine Learning, Sebastian Raschka, Vahid Mirjalili, 3rd Edition, Packt Publishing (Indian reprints available)

2.      Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking, Foster Provost, Tom Fawcett, 1st Edition, O’Reilly Media

Ø  To understand Key Concepts: Equip students with a comprehensive understanding of the fundamental principles of health law, ethics, and regulations and their impact on healthcare practices.

Ø  To analyze Legal Frameworks: Develop the ability to analyze healthcare laws and regulations at national and international levels and evaluate their implications for patients, providers, and organizations.

Ø  To apply Ethical Principles: Enable students to apply ethical principles and frameworks to address real-world challenges and dilemmas in clinical and organizational settings.

Ø  To navigate Regulatory Compliance: Prepare students to identify, interpret, and implement regulatory standards, accreditation processes, and compliance requirements in healthcare environments.

Ø  To anticipate Future Challenges: Foster critical thinking to anticipate emerging trends and challenges in health law and ethics, including advancements in technology and global health governance.

Informed consent, the legal and ethical aspects of patient confidentiality, exceptions to confidentiality, and challenges in maintaining it.

Understanding medical negligence, types of malpractice, legal consequences for healthcare providers, and strategies to prevent negligence.

Overview of patient rights, importance of advocacy in healthcare, patient grievance mechanisms, and the role of patient representatives.

Principles of biomedical ethics (autonomy, beneficence, non-maleficence, justice), ethical dilemmas in clinical practice, case studies.

Legal and ethical considerations in palliative care, euthanasia, advanced directives, and withdrawal of life support systems.

Legal frameworks for public health initiatives, vaccination laws, regulation of health campaigns, and managing public health emergencies.

Overview of healthcare accreditation bodies (NABH, JCI), regulatory compliance in healthcare facilities, and implications of non-compliance.

Health insurance laws, consumer rights, ethical considerations in health insurance claims, and fraud detection mechanisms.

WHO, World Medical Association, and other bodies’ contributions to global health law, ethical frameworks for international healthcare practices.

Emerging ethical and legal challenges in healthcare, trends in global health law, and the role of ethics in future healthcare delivery.

1.      Pozgar, G. D. (2022). Legal and Ethical Essentials of Health Care Administration (4th ed.). Jones & Bartlett Learning.

2.       Fremgen, B. F. (2021). Medical Law and Ethics (6th ed.). Pearson Education.

Other References:-

1.      Seth, A. (2021). Medical Ethics and Laws for Doctors – Indian Perspective (2nd ed.). Jaypee Brothers Medical Publishers.

2.      Harris, D. M., & Allen, S. (2017). Contemporary Issues in Healthcare Law and Ethics (4th ed.). Health Administration Press.

3.      Reddy, N. K., & Mohandas, A. (2020). Health Laws in India: With a Critical Perspective (2nd ed.). LexisNexis.

Ø  To understand the fundamentals of hospital planning, staffing, and workflow for enhancing efficiency and patient care.

Ø  To implement quality standards, accreditation requirements, and patient safety protocols for better healthcare outcomes.

Ø  To develop skills in budgeting, cost control, and human resource management for financial sustainability.

Ø  To explore the use of health information systems, AI, telemedicine, and digital healthcare in hospital management.

Ø  To strengthen strategic and operational decision-making in modern healthcare settings.

This unit provides an overview of hospital management, highlighting its significance in the healthcare industry. It covers different types of hospitals, their organizational structures, and the role of hospital administrators in ensuring smooth healthcare operations.

BTL: 1 & 2 – Remembering & Understanding

This unit focuses on the key operational aspects of hospitals, including outpatient and inpatient services, emergency care, and diagnostic facilities. It also discusses pharmacy and medication management, ensuring that hospital services meet patient needs effectively.

This unit covers hospital accreditation standards such as NABH, JCI, and ISO, and their role in improving healthcare quality. Topics such as patient safety, quality assurance programs, infection control, and waste management are also explored.

This unit discusses financial aspects of hospital management, including budgeting, cost control, revenue cycle management, and hospital billing policies. It also covers supply chain and inventory management to ensure resource optimization.

The focus of this unit is on HR functions within hospitals, including recruitment, training, employee motivation, and performance evaluation. It also addresses workplace conflict resolution and staff retention strategies.

This unit explores the role of digital transformation in hospital services, including electronic health records (EHR), telemedicine, hospital information systems (HIS), data security, and AI-driven automation in hospital administration.

This unit covers legal frameworks and ethical considerations in hospital management, including patient rights, compliance with healthcare regulations, consumer protection, medical negligence, and ethics in medical research.

This unit focuses on risk assessment, emergency preparedness, and disaster management strategies for hospitals. It includes case studies on handling natural disasters, pandemics, and other healthcare crises.

This unit explores marketing and branding strategies for hospitals, patient relationship management, customer service, media communication, and ethical hospital advertising practices to improve patient trust and hospital reputation.

This unit highlights sustainable healthcare practices, including green hospitals, energy conservation, waste management, water management, pollution control, and corporate social responsibility (CSR) initiatives.

This unit provides insights into specialized healthcare services such as maternity and child care, geriatric and palliative care, mental health services, rehabilitation, and physiotherapy.

This unit explores healthcare models across different countries, international healthcare trends, medical tourism, and the role of WHO and other international organizations in global healthcare policies.

This unit discusses advancements such as AI in healthcare, smart hospitals, personalized medicine, 3D printing applications, biotechnology, and digital transformation trends shaping the future of hospital management.

This unit includes case studies of successful hospital management models, lessons from leading healthcare institutions, challenges in healthcare administration, and project-based learning opportunities for students.

1.      Goel, S. L. (2007). Healthcare Management and Administration. Deep & Deep Publications.

2.      Goyal, R. C. (2010). Hospital Administration and Human Resource Management. PHI Learning Pvt. Ltd.

Other References:-

1.      Sharma, S. (2013). Hospital Administration and Management: A Comprehensive Guide. Jaypee Brothers Medical Publishers.

2.      Kumar, R. (2015). Healthcare Management: Principles and Practices. Elsevier.

3.      Gupta, S. (2018). Hospital and Health Services Administration: Principles and Practice. CBS Publishers.

Ø  To understand the principles of community health and hospital safety.

Ø  To implement effective safety and risk management strategies in healthcare settings.

Ø  To ensure compliance with legal and ethical standards in hospital operations.

Ø  To apply risk mitigation and crisis management techniques to enhance patient and staff safety.

Ø  To promote a culture of safety and preparedness within healthcare institutions.

Definition and significance of community health Role of hospitals in public health Overview of hospital safety and risk management Relationship between healthcare services and community welfare

Primary, secondary, and tertiary healthcare Public health vs. hospital-based care Role of NGOs in community health Universal healthcare and health coverage policies

Hospital safety standards and protocols Identifying risks in hospital environments Patient and staff safety regulations International best practices in hospital safety

Types of risks in hospitals (clinical, operational, financial) Risk assessment models and frameworks Incident reporting and analysis Strategies to minimize risks in healthcare facilities

Hospital-acquired infections (HAIs) and their prevention Sterilization and disinfection protocols Biomedical waste management Personal protective equipment (PPE) and infection control policies

Emergency response plans Hospital disaster risk assessment Role of hospitals in public health emergencies Coordinating with government and emergency services

Fire hazards in healthcare settings Fire prevention measures and safety drills Evacuation procedures for hospitals Fire safety equipment and regulatory compliance

Patient rights and hospital responsibilities Medical negligence and liability issues Ethical decision-making in risk management Compliance with national and international healthcare laws

Workplace hazards in hospitals Health and safety regulations for healthcare workers Stress management in hospital environments Occupational health programs and employee wellness

Importance of patient safety in healthcare delivery Quality assurance programs in hospitals Role of accreditation bodies (NABH, JCI) Error reporting and learning systems

Risk of violence in hospitals Preventing patient and staff abuse Cyber security threats in healthcare Security measures for sensitive hospital areas

Safe hospital building designs Energy efficiency and environmental sustainability in hospitals Waste disposal and pollution control HVAC systems and air quality management in healthcare settings

Psychological well-being of healthcare professionals Stress and burnout management strategies Patient mental health and hospital care Counseling and support services in hospitals

Digital transformation in healthcare safety Artificial Intelligence (AI) in hospital risk management Robotics and automation in healthcare safety protocols Predictive analytics for risk prevention

1.      Turnock, B. J. (2016). Public Health: What It Is and How It Works (6th ed.). Burlington, MA: Jones & Bartlett Learning.

2.      Griffith, R., & Tengnah, C. (2020). Law and Professional Issues in Nursing (5th ed.). London, UK: Learning Matters.

Other References:-

1.      World Health Organization (WHO). (2021). Hospital Safety Index: Guide for Evaluators. Geneva: WHO.

2.      National Health Mission (NHM), India. (2022). Community Health and Risk Management Guidelines. Ministry of Health and Family Welfare, Government of India.

Ø  To understand core machine learning principles and algorithms.

Ø  To gain proficiency in handling data, pre-processing, and feature engineering.

Ø   To develop skills in data preparation for ML.

Ø  To understand the role of technology infrastructure in ML.

Ø  To recognize ethical and strategic uses of ML in business.

1.      Machine Learning for Absolute Beginners” by Oliver Theobald

2.      “Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking” by Foster Provost and Tom Fawcett

Other References:-

1.      “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die” by Eric Siegel

2.      “Artificial Intelligence in Practice” by Bernard Marr

3.      “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron

Ø  Understand key concepts of data science and its role in business.

Ø  Utilize basic data management and data visualization tools.

Ø  Apply statistical techniques for business data analysis.

Ø  Explore predictive modelling and machine learning techniques for decision-making.

Ø  Develop insights from data for strategic business management.

1. “Data Science for Business” by Foster Provost and Tom Fawcett
2. “Introduction to Data Science” by Laura Igual and Santi Seguí

Other References:-

1. Online platforms for learning (e.g., Coursera, DataCamp)
2. Python and R libraries for data analysis (Pandas, Scikit-learn)

Ø  To learn the principles of business ethics and corporate governance, and their importance in business practices.

Ø  To learn to analyze ethical dilemmas and overcome business challenges.

Ø  To learn about corporate social responsibility initiatives and their evaluation.

Ø  To learn about the regulatory and compliance framework of corporate governance.

Ø  To learn about the legal and regulatory frameworks governing corporate governance practices and their relationship to ethical conduct.

1.      Sharma J.P (2016). Corporate Governance, Business Ethics and CSR.

Other References:-

1.      Kumar, Satish, (2015). Corporate Governance, Oxford University Press

2.      Tricker, B. (2012). Corporate Governance. Oxford University Press.

3.      Fernando, A.C. (2012). Corporate Governance, Pearson.

Ø  To understand the core concepts of financial derivatives, various types of risks, and associated risk management strategies.

Ø  To explore the mechanics, pricing, and practical applications of derivatives such as forwards, futures, options, and swaps.

Ø  To apply advanced risk management tools like Value at Risk (VaR), stress testing, and credit derivatives for effective mitigation.

Ø  To analyse regulatory frameworks governing derivatives and assess their impact on financial stability.

Ø  To evaluate contemporary issues, including the role of derivatives in financial crises and their sustainability in evolving markets.

Textbook References:–

1. Hull, J. C. (2022). Options, Futures, and Other Derivatives (11th ed.). Pearson Education.
2. Chance, D. M., & Brooks, R. (2015). An Introduction to Derivatives and Risk Management (10th ed.). Cengage Learning.

Other References:-

1. Sundaram, R. K., & Das, S. R. (2015). Derivatives: Principles and Practice (2nd ed.). McGraw-Hill Education.
2. Don M. Chance. (2019). Essentials of Financial Risk Management. South-Western Cengage Learning.

Ø  To understand the evolution, types, and functions of banking institutions, along with the regulatory frameworks and roles of RBI, SEBI, and IRDAI.

Ø  To analyze a range of banking and insurance products, services, and emerging technologies such as digital banking, fintech, Insurtech, and green banking.

Ø  To gain expertise in credit management, risk assessment, and mitigation strategies in banking, as well as underwriting, actuarial science, and enterprise risk management in insurance.

Ø  To evaluate real-world case studies related to fraud, claims settlements, mismanagement, and technological transformation in banking and insurance sectors.

Ø  To develop a customer-centric approach by understanding evolving consumer needs and regulatory responses in banking and insurance.

BTL1: Remembering, BTL2: Understanding

1.      “Banking and Insurance” by Mohapatra & Acharya

2.      “Principles and Practices of Banking” by Indian Institute of Banking & Finance (IIBF)

Other References:-

3.      “Risk Management in Banking” by Joël Bessis

4.      “Essentials of Insurance: A Risk Management Perspective” by Emmett J. Vaughan & Therese Vaughan

Ø  To understand performance management systems, including their principles, processes, and tools such as goal setting, appraisals, and feedback mechanisms.

Ø  To develop effective compensation strategies by analyzing models like fixed pay, variable pay, and employee benefits aligned with organizational objectives.

Ø  To evaluate various performance appraisal methods, including 360-degree feedback, MBO, and competency-based assessments.

Ø  To link performance outcomes with rewards such as salary increments, bonuses, and incentives to boost employee engagement and productivity.

Ø  To ensure legal and ethical compliance by considering labor laws, fairness, and transparency in performance and compensation systems.

Overview of performance and compensation management as strategic HR functions. Importance of aligning performance management with compensation strategies. Key challenges in designing effective performance and pay systems.

BTL 1 – Remembering

Performance management cycle: planning, monitoring, reviewing, and rewarding. Goal-setting techniques (SMART goals, OKRs) for employees.

Role of continuous feedback, coaching, and employee development.

Traditional and modern performance appraisal techniques. 360-degree feedback, Management by Objectives (MBO), and Behaviorally Anchored Rating Scales (BARS). How to overcome common biases in performance evaluations.

Defining and measuring KPIs for employees and teams. Using data analytics for performance measurement and decision-making. Linking individual, team, and organizational performance with business goals.

Objectives and principles of compensation management. Components of total compensation: fixed pay, variable pay, benefits, and perquisites. Factors influencing compensation decisions (market trends, job role, experience, performance).

Importance of job evaluation in compensation planning. Different job evaluation techniques: ranking, point factor, factor comparison. Designing internal pay structures and salary bands.

Types of performance-linked compensation: merit pay, incentives, bonuses, commission-based pay. Individual vs. team-based performance pay models. Challenges and fairness in performance-based compensation.

Types of benefits: health insurance, retirement plans, paid leave, stock options. Non-monetary benefits: work-life balance, learning & development, wellness programs. The role of employee benefits in job satisfaction and retention.

Aligning compensation policies with business and HR strategy. Competitive compensation benchmarking and industry salary trends.

Compensation as a tool for employee motivation and engagement.

Overview of wage laws, labor regulations, and compliance requirements.

Equal Pay Act, anti-discrimination laws, and fair compensation practices.

Ethical dilemmas in compensation and corporate social responsibility (CSR).

Components of executive compensation: base salary, stock options, performance bonuses. Corporate governance and executive pay policies.

Trends and controversies in CEO pay and executive benefits.

Compensation strategies for multinational organizations.

Cultural and economic factors influencing global pay structures.

Managing expatriate compensation, tax implications, and international payroll.

Role of AI, automation, and HR analytics in performance and compensation management. The gig economy and changes in pay structures. Pay transparency, gender pay gap issues, and fair pay initiatives.

Real-world examples of effective performance and compensation management. Best practices in leading organizations. Lessons learned from compensation failures and future trends in HR.

1.      Aguinis, H. (2019) – Performance Management (4th Edition). Pearson Education.

2.      Milkovich, G. T., Newman, J. M., & Gerhart, B. (2019) – Compensation (13th Edition). McGraw-Hill Education.

Other References:-

1.      Heneman, R. L. (2002). Strategic Reward Management: Design, Implementation, and Evaluation. IAP Publishers.

2.      Goel, D. (2012). Performance Appraisal and Compensation Management: A Modern Approach. PHI Learning.

3.      Phillips, J. J., & Edwards, L. (2008). Managing Talent Retention: An ROI Approach. John Wiley & Sons.

4.      Bacal, R. (2013). Performance Management. McGraw-Hill.

Ø  To understand the strategic role of talent management in modern organizations.

Ø  To explore processes of attracting, developing, and retaining skilled employees.

Ø  To examine tools and frameworks for effective talent planning and succession.

Ø  To analyze challenges and trends influencing talent management globally.

Ø  To learn to implement performance and engagement strategies to boost retention.

BTL 1: Remembering, BTL 2: Understanding

1.      Lewis, R. E., & Heckman, R. J. (2006). Talent Management: A Critical Review. Human Resource Management Review, 16(2), 139–154.

2.      Phillips, J., & Edwards, L. (2009). Managing Talent Retention: An ROI Approach. John Wiley & Sons.

Other References:-

1.      Cappelli, P. (2008). Talent on Demand: Managing Talent in an Age of Uncertainty. Harvard Business Press.

2.      Silzer, R., & Dowell, B. E. (Eds.). (2009). Strategy-Driven Talent Management: A Leadership Imperative. Jossey-Bass.

Ø  To understand the fundamentals and evolution of digital marketing

Ø  To identify and apply key digital marketing channels and tools

Ø  To analyze digital consumer behavior by mapping customer journeys, building personas etc.

Ø  To design, implement, and evaluate digital marketing strategies

Ø  To utilize web development tools, campaign analytics, and performance metrics

BTL 1: Remembering, BTL 2: Understanding

BTL 3: Applying, BTL 6: Creating

BTL 3: Applying, BTL 6: Creating

BTL 4: Analyzing, BTL 5: Evaluating, BTL 6: Creating

1.      Kotler, P., Kartajaya, H., & Setiawan, I. (2017). Marketing 4.0: Moving from Traditional to Digital. Wiley.

1. Ryan, D. (2016). Understanding Digital Marketing: Marketing Strategies for Engaging the Digital Generation (4th ed.). Kogan Page.

Other References:-

1.      Chaffey, D., & Ellis-Chadwick, F. (2019). Digital Marketing (7th ed.). Pearson Education.

2.      Kingsnorth, S. (2022). Digital Marketing Strategy: An Integrated Approach to Online Marketing (3rd ed.). Kogan Page.

Ø  To explain the key concepts and principles of strategic brand management.

Ø  To analyze the importance of brand equity, its building, and leveraging strategies, using both qualitative and quantitative methods.

Ø  To identify the role of brand identity, personality, and communication strategies in building a successful brand.

Ø  To evaluate the challenges and opportunities in global branding.

Ø  To develop strategies for managing brand crises, including understanding types of crises, crisis management, rebuilding brand reputation, and proactively preventing future crises.

1.      Kevin Lane Keller Strategic Brand Management: Building, Measuring, and Managing Brand EquityPearson, Latest Edition

2.      David A. Aaker Building Strong Brands Free Press, Latest Edition

3.      Jean-Noël Kapferer The New Strategic Brand Management: Advanced Insights and Strategic Thinking Kogan Page, Latest Edition

Other References:-

1.      Philip Kotler, Kevin Lane Keller Marketing Management Pearson, Latest Edition

2.      Marty Neumeier The Brand Gap: How to Bridge the Distance Between Business Strategy and Design New Riders, Latest Edition

3.      Tracy L. Tuten, Michael R. Solomon Social Media Marketing Sage Publications, Latest Edition

Ø  To explain the key concepts and principles of sales and distribution management, including the sales process, channel structures, and distribution networks.

Ø  To analyze market data to assess sales potential, design effective sales territories, and identify optimal distribution strategies.

Ø  To demonstrate the ability to apply effective selling techniques and negotiation strategies to achieve sales objectives.

Ø  To evaluate the performance of sales teams and distribution channels using appropriate metrics and suggest improvements.

Ø  To create comprehensive sales and distribution plans that align with organizational goals and market demands.

Importance of Distribution Channels in Marketing, Functions of Distribution Channels, Channel Design and Selection, Factors Influencing Channel Design, Levels of Distribution Intensity.

Role of Sales Executive, Sales Organization Structures, Sales Department Relations, Distributive-Network Relations, Sales Force Management.

Introduction, Levels of Sales management Positions, Roles played by sales managers, Sales forecasting methods, Organizing & Driving Sales Efforts.

Sales Job Analysis), Sales Training – Need & Types, Sales Force Compensation Structure & Motivation Tools, Sales Contests Sales Force Supervision: Sales Expenses,

Meaning and Importance of Distribution, Definition of Distribution in marketing, Types of Distribution Channels, Physical Distribution Management.

Introduction to Distribution in Selling, Role of Distribution in Customer Satisfaction, Distribution and Sales Performance, Types of Distribution Channels

Introduction to Selling, Types of Selling, B2B Selling (Business to Business), B2C Selling (Business to Consumer), Online Selling (E-commerce), Consultative Selling, Influence of Technology on Selling.

Introduction to Personal Selling, Personal Selling Process, Skills Required for Personal Selling, Sales Techniques in Personal Selling, Role of Technology in Personal Selling.

Introduction, Selling & Sales Management, Recruitment & Selection of Salesmen, Developing New Attitude in Selling,

Introduction ,Definition, Need & Purpose,

Developing the Sales Organization, Centralization vs. Decentralization in Sales Organization, Types of Organizational Structure

Introduction to International Sales Management, Global Sales Strategies, Cultural Differences in Selling, Market Entry Strategies for International Sales,

1.      David Jobber, Geoffrey Lancaster Selling  & Sales Management Pearson Latest Edition

2.      Tanner, Honeycutt, Erffmeyer Sales Management Pearson Latest Edition

3.       Mark W. Johnston, Greg W. Marshall Sales Force Management Tata McGrawHill Latest  Edition

Other References:-

1.      William L. Cron, Thomas E. DeCarlo Sales Management Wiley Latest Edition

2.      Dr. S. L. Gupta Sales  & Distribution Management Excel Latest Edition

Ø  To understand key concepts of privacy, ethics, and regulatory issues in artificial intelligence.

Ø  To identify and analyze ethical challenges and privacy risks in AI applications.

Ø  To examine global regulations, standards, and policies governing AI development and use.

Ø  To apply ethical principles and compliance strategies in the design of AI systems.

Ø  To critically evaluate the societal impacts and promote responsible AI innovation.

Definition and Scope of Artificial Intelligence, Importance of Ethics and Privacy in AI, Historical Development of AI Ethics, Key Ethical Issues in AI (Bias, Autonomy, Accountability), Understanding Privacy: Concepts and Dimensions, Relationship between Data, Privacy, and AI, Societal Impacts of AI: Opportunities and Risks

Introduction to Data Privacy: Meaning and Importance, Types of Data: Personal Data, Sensitive Data, and Anonymized Data, Principles of Data Protection (Collection Limitation, Purpose Specification, Data Minimization), Rights of Individuals: Access, Correction, Erasure, and Portability, Data Breaches: Causes, Consequences, and Response Mechanisms, Privacy Risks in AI Systems (Re-identification, Data Leakage, Inference Attacks), Basics of Encryption, Anonymization, and Pseudonymization Techniques, Overview of Major Data Protection Regulations (GDPR, CCPA, HIPAA)

Introduction to Ethics: Definition and Importance, Major Ethical Theories: Overview and Key Concepts ,Application of Ethical Theories to AI Decision-Making, Case Studies: Applying Utilitarianism and Deontology to AI Systems, Ethics of Autonomous Systems (e.g., Self-Driving Cars, AI in Healthcare), Conflict of Ethical Principles in AI Design and Deployment, Critical Reflections on the Limitations of Traditional Ethical Frameworks for AI

Introduction to Bias in AI: Definition and Types (Data Bias, Algorithmic Bias, Cognitive Bias), Sources of Bias in AI Systems (Training Data, Model Design, Human Factors), Consequences of Bias in AI: Social, Economic, and Ethical Implications, Understanding Fairness in AI: Different Perspectives and Approaches, Techniques for Detecting and Mitigating Bias in AI Models, Transparency in AI Systems: Definition and Importance, The Role of Explain ability in Promoting Transparency, Legal and Ethical Considerations in Achieving Fairness and Transparency (GDPR, AI Ethics Guidelines)

Introduction to Surveillance: Definition, Types, and Technologies, Surveillance in the Age of AI: AI-enabled Surveillance Systems (Facial Recognition, Social Media Monitoring, Location Tracking), Ethical Issues in Surveillance: Privacy Violations, Mass Surveillance, and Consent, The Role of Consent in Data Collection and Use, Data Ownership: Who Owns Personal and AI-Generated Data?, The Concept of Data Sovereignty and Cross-Border Data Flow, Ethical Challenges in Balancing Security, Surveillance, and Privacy, Future Trends in Surveillance and Data Ownership in the Age of AI

Introduction to Privacy by Design (PbD): Principles and Concepts, The Seven Foundational Principles of Privacy by Design, Integrating Privacy by Design into the AI Development Lifecycle, Ethical AI Development: Core Principles and Frameworks, Privacy-Enhancing Technologies (PETs) in AI Development, AI System Design: Balancing Innovation, Privacy, and Ethics, Role of AI Developers, Designers, and Engineers in Ethical AI, Ethical Decision-Making Frameworks for AI Systems

Introduction to Data Protection Laws: Importance and Scope, Overview of the General Data Protection Regulation (GDPR): Key Principles and Provisions, GDPR Compliance Requirements for AI Systems, Data Transfers and Cross-Border Data Flow under GDPR, Privacy Regulations in Other Jurisdictions, Key Differences and Similarities in Global Data Protection Laws, The Role of Data Protection Authorities (DPAs)

Introduction to AI Governance: Importance and Objectives, Key Principles of AI Governance: Accountability, Transparency, Fairness, and Safety, Overview of AI Governance Frameworks, International Standards and Guidelines for AI Development, The Role of AI Ethics Committees and Regulatory Bodies, Risk Management in AI Systems: Frameworks for Mitigating AI Risks, AI Auditing and Accountability: Best Practices and Tools, AI and Human Rights: Ethical Implications and Legal Considerations, The Future of AI Governance: Challenges and Evolving Standards

Introduction to Accountability in AI, AI System Accountability, The Importance of Explain ability in AI, Techniques for Enhancing Explain ability, Building Trust in AI Systems, Regulatory and Ethical Implications of Explainable and Accountable AI, Emerging Trends in AI Trust

Overview of Intellectual Property Rights (IPR), Copyright Law and AI, Patenting AI Innovations, AI as an Inventor, Trade Secrets and AI, Licensing of AI Technologies, AI in Trademarks and Branding, Future of IP in AI Innovations

Introduction to AI in Sensitive Sectors, AI in Healthcare, AI and Data Privacy in Healthcare, AI in Financial Services, AI and Ethics in Finance, AI in Education, Ethical Concerns of AI in Education, The Future of AI in Sensitive Sectors

Introduction to Social and Cultural Impacts of AI, AI and Society, AI and Cultural Change, Impact of AI on Employment and Workforce, AI in Social Interactions and Relationships, Ethical and Social Concerns in AI, The Global Divide in AI Access, The Future of AI in Society and Culture

Introduction to Emerging AI Challenges, Understanding Deep fakes, Ethical Implications of Deep fakes, Misinformation and Disinformation in the Age of AI, AI and Social Media Manipulation, Detecting and Mitigating Deep fakes, AI Security Risks and Vulnerabilities, Regulations and Policies for Deep fakes and Misinformation

Introduction to Ethical AI Regulation and Governance, Global AI Governance Frameworks, AI Ethics Guidelines and Standards:, Risk-Based Approaches to AI Regulation, Transparency, Accountability, and Explain ability in AI, AI Regulation in Different Jurisdictions, Future Challenges and Opportunities in Ethical AI Governance

1. Justin and Mario, AI Data Privacy and Protection: The Complete Guide to Ethical AI. Technics Publications

Other References:-

1.      International Association of Privacy Professionals (IAPP),  The Privacy Expert’s Guide to AI and Machine Learning

2.      MineOS,  A Practical Guide for AI & Data Privacy Compliance

Ø  To understand fundamental principles of data visualization and visual perception

Ø  To create effective visualizations for different business scenarios

Ø  To evaluate and improve visualization designs

Ø  To use data visualization tools to support decision-making

Ø  To communicate complex data insights to diverse stakeholders

Students will be able to analyze the role and importance of data visualization in business decision-making, visual perception, historical context, and basic Tableau functionality. BTL: 4 Analyzing

1.      “Data Visualization for Managers” by Dr. Sarabjit Singh

2.      “Making Data Speak: A Manager’s Guide to Visualization” by Prof. Dinesh Kumar

3.      “Business Intelligence and Data Visualization” by Arun K. Somani

Ø  To develop a comprehensive understanding of quality management principles and their specific applications in healthcare.

Ø  To learn to implement and evaluate quality improvement frameworks like TQM, Six Sigma, and Lean for enhanced healthcare outcomes.

Ø  To gain proficiency in quality measurement, benchmarking, and data-driven decision-making to improve healthcare services.

Ø  To foster a patient-centered approach by integrating patient safety, risk management, and feedback into quality initiatives.

Ø  To cultivate leadership and strategic skills to build a quality-focused culture in healthcare organizations.

Definition and importance of quality in healthcare, evolution of quality management in healthcare, key principles of quality management.

Overview of Total Quality Management (TQM), introduction to Six Sigma and Lean in healthcare, comparisons and applications of various models.

Major accreditation bodies (e.g., JCI, NABH, CARF), the role of standards in healthcare quality, processes for accreditation and certification.

Core concepts of patient safety, identifying and managing risks in healthcare, tools for risk management (e.g., Failure Mode Effect Analysis).

Key performance indicators (KPIs) and metrics, benchmarking techniques and best practices, case studies on quality benchmarking.

Data collection and analysis methods, role of big data in quality management, predictive analytics and AI for quality initiative.

Principles of patient-centered care, gathering and analyzing patient feedback, enhancing patient satisfaction and experience.

Understanding the CQI cycle (Plan-Do-Study-Act), implementing CQI processes in healthcare, case studies of successful CQI projects.

Types of quality audits in healthcare, steps for conducting an audit, tools for audit evaluation and reporting.

Common quality tools (e.g., Fishbone Diagram, Pareto Analysis), process mapping and root cause analysis, applying statistical process control in healthcare.

Ethics in patient care and quality decisions, balancing quality, cost, and access, handling ethical dilemmas in quality initiatives.

The role of digital health and telemedicine, EHRs, EMRs, and interoperability, emerging technologies (AI, IoT) in quality improvement.

Leadership’s role in quality culture, building and sustaining a quality-focused organization, training and development for quality improvement.

Global trends in healthcare quality management, addressing healthcare quality in diverse populations, preparing for future challenges in quality management.

1.      Spath, P. L. (2018). Applying Quality Management in Healthcare: A Systems Approach (4th ed.). Health Administration Press.

2.      Kelly, D. L. (2020). Quality Management for Organizational Excellence: Introduction to Total Quality (9th ed.). Pearson.

Other References:-

1. McLaughlin, D. B., & Kaluzny, A. D. (2018). Continuous Quality Improvement in Health Care (5th ed.). Jones & Bartlett Learning.
2. Ransom, E. R., Joshi, M. S., Nash, D. B., & Ransom, S. B. (2021). The Healthcare Quality Book: Vision, Strategy, and Tools (4th ed.). Health Administration Press.
3. Buchbinder, S. B., & Shanks, N. H. (2019). Introduction to Health Care Management (4th ed.). Jones & Bartlett Learning.

Ø  To understand the fundamentals of health informatics and insurance, including key concepts, terminologies, and their roles in healthcare systems.

Ø  To apply health information systems and standards such as EHRs, ICD, HL7, and SNOMED for effective healthcare management.

Ø  To analyze privacy, security, and ethical considerations by examining legal frameworks like HIPAA and best practices for protecting patient data.

Ø  To evaluate health insurance policies, claims processing workflows and reimbursement methods across various insurance models.

Ø  To explore emerging trends and innovations in health informatics and insurance, including AI, blockchain, telemedicine, and predictive analytics.

This unit provides an overview of health informatics, its role in modern healthcare, and key concepts such as data management, electronic health records (EHRs), and health information systems.

Covers the structure and functions of health information systems, including EHRs, personal health records, and hospital management systems.

Focuses on data standards (HL7, SNOMED CT, ICD, LOINC), interoperability, and the importance of standardized data exchange in healthcare.

Discusses confidentiality, security protocols, and ethical concerns surrounding health data, including HIPAA compliance.

Covers applications of AI, machine learning, and big data analytics in healthcare decision-making.

Explores the principles of health insurance, including public and private insurance models, and their impact on healthcare access.

Examines national and international health insurance regulations, including the Affordable Care Act (ACA) and managed care.

Details the process of health insurance claims, including coding systems (CPT, ICD-10), billing, and reimbursement methods.

Discusses risk assessment, fraud detection, and financial risk management strategies in health insurance.

Examines how EHRs support insurance claims processing, decision support systems, and provider reimbursements.

Explores how telemedicine and digital health solutions are covered by insurance, including regulatory challenges.

Focuses on strategies to control healthcare costs, including value-based care, preventive care incentives, and alternative payment models.

Examines health insurance systems in different countries, including universal healthcare models.

Discusses emerging trends like blockchain, AI-driven claims processing, and predictive analytics in insurance.

1. Health Informatics: An Interprofessional Approach – by Ramona Nelson & Nancy Staggers (Elsevier, Latest Edition).
2. Health Insurance and Managed Care: What They Are and How They Work – by Peter R. Kongstvedt (Jones & Bartlett Learning, Latest Edition)

Other References:-

1.       Shortliffe, E. H., & Cimino, J. J. (2021). Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Springer).

2.       Yasnoff, W. A., et al. (2019). Public Health Informatics and Information Systems (Springer).

Ø  To develop a comprehensive understanding of hospital administration principles and their applications in healthcare.

Ø  To learn to implement operational, financial, and HR strategies to improve hospital efficiency.

Ø  To gain proficiency in quality and compliance management within healthcare facilities.

Ø  To understand the principles and best practices of biomedical waste management.

Ø  To cultivate leadership and strategic skills to drive hospital efficiency and sustainable waste management.

Fundamentals of hospital administration, highlighting its importance in healthcare delivery.

Hospital organizational frameworks, focusing on departmental roles, governance, and interdepartmental coordination.

Strategic planning, healthcare policies, and resource allocation to achieve healthcare objectives.

Hospital operations such as logistics, facilities management, and service delivery.

Overview of quality management frameworks such as TQM and NABH accreditation in healthcare.

Strategies for workforce planning, training, and performance evaluation in healthcare organizations.

Budgeting, cost control, revenue generation, and inventory management in hospitals.

Hospital IT infrastructure, EHR systems, and data security challenges in healthcare facilities.

Introduction to biomedical waste types, sources, and potential risks associated with improper disposal.

Waste segregation techniques, treatment methods, and safe disposal practices.

Legal frameworks, ethical considerations, and compliance requirements in waste management.

Training healthcare staff and raising awareness about proper waste handling procedures.

Common challenges and explores innovative solutions for waste disposal in hospitals.

Real-world case studies and best practices implemented by leading healthcare organizations.

1. McConnell, C. R. (2019). Umiker’s Management Skills for the New Health Care Supervisor (7th ed.). Jones & Bartlett Learning.
2. Park, K. (2021). Preventive and Social Medicine (26th ed.). Banarsidas Bhanot Publishers.

Other References:-

1.       Government of India. (2016). Bio-Medical Waste Management Rules. Ministry of Environment, Forest and Climate Change.

2.       Sharma, R. K. (2020). Hospital Administration and Management: Theory and Practice. Jaypee Brothers Medical Publishers.

3.       Gupta, S., & Boojh, R. (2021). Sustainable Biomedical Waste Management in India: Regulations and Practices. Springer

Ø  To understand the fundamental principles and applications of marketing analytics.

Ø  To explore tools and techniques for analyzing marketing data to support informed decision-making.

Ø  To gain insights into customer behavior, campaign effectiveness, and return on investment (ROI).

Ø  To apply predictive and prescriptive analytics in developing data-driven marketing strategies.

Ø  To enhance strategic marketing outcomes through evidence-based analysis and interpretation.

1. Chaffey, D., & Ellis-Chadwick, F. (2022). Digital Marketing: Strategy, Implementation, and Practice. Pearson Education.
2. Lilien, G. L., Rangaswamy, A., & De Bruyn, A. (2017). Principles of Marketing Engineering and Analytics. DecisionPro.
3. Farris, P., Bendle, N., Pfeifer, P., & Reibstein, D. (2020). Marketing Metrics: The Manager’s Guide to Measuring Marketing Performance. Pearson.

Other References:-

1. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage.
2. Kaushik, A. (2020). Web Analytics 2.0: The Art of Online Accountability & Science of Customer Centricity. Wiley.

Ø  To introduce the fundamental concepts and significance of People and HR Analytics.

Ø  To equip students with essential tools and techniques used in HR analytics for effective decision-making.

Ø  To apply analytics across key HR functions such as recruitment, performance management, employee retention, and diversity.

Ø  To analyze and interpret HR data to drive strategic organizational development.

Ø  To enhance data-driven thinking for solving real-world HR challenges.

1.       Tracey Smith, HR Analytics Handbook.

2.       Jac Fitz-enz, Predictive Analytics for Human Resources.

3.       Shonna Waters et al., The Practical Guide to HR Analytics.

4.       Coursera and edX HR Analytics Courses.

5.       Case Studies from SHRM and HBR.