MHH-19 Solved Assignment 2026

Description

IGNOU MHH-19 Solved Assignment 2026

Master of Business Administration Hospital and Health Management (MBAHCHM)
ASSIGNMENT For January 2026 and July 2026 Sessions

MHH-019: Health Policy and Planning
(Last date of Submission for January 2026 is 30th April 2026 and for July 2026 Session is 31st October 2026)

Course Code : MHH-019
Course Title : Health Policy and Planning
Assignment Code : MHH-019/TMA/January/2026
Coverage : All Blocks
Assignment: MHH-019 – Health Policy and Planning

Section A: Long Descriptive Questions
(Answer all FOUR questions. Each question carries 10 marks.
Answers should be written in around 1000 words.)
Q1. Discuss the role of telemedicine in improving healthcare access in rural and underserved populations, with suitable examples.
Q2. Analyse the role of telemedicine and virtual consultations in transforming healthcare delivery. Discuss the components, models (synchronous and asynchronous), applications, and regulatory framework in India, and evaluate how telemedicine improves access, efficiency, and continuity of care.
Q3. Discuss the application of AI-powered Robotic Process Automation (RPA) in hospital operations. Illustrate how RPA improves efficiency in administrative and support services.
Q4. Analyse the applications of healthcare analytics in clinical care, operational management, financial management, and population health. Evaluate how analytics contributes to quality improvement, cost control, and patient-centred healthcare delivery.
Section B: Short Descriptive Questions
(Answer any TEN questions. Each question carries 6 marks.
Answers should be written in around 600 words.)
Q5. Discuss the major challenges faced in adopting digital health technologies in India. Illustrate how government initiatives attempt to address these challenges.
Q6. Explain the concept of digital transformation in healthcare systems. Why is digital transformation important for modern health services?
Q7. Explain the meaning of healthcare IT standards. Why are standards essential for digital health systems?
Q8. Explain the major sources of healthcare data and describe the importance of data architecture and interoperability in health analytics. Q9. Discuss the use of Clinical Decision Support Systems (CDSS) in hospitals. Illustrate how CDSS helps clinicians reduce errors and improve clinical decision-making.
Q10. Discuss the challenges involved in integrating emerging digital health technologies into existing healthcare systems and suggest practical approaches to address them.
Q11. Explain the concept of digital health applications. Describe the key principles of usercentred design in health app development.
Q12. Explain the meaning of Artificial Intelligence and Machine Learning. Describe their basic characteristics and relevance in healthcare.
Q13. Discuss the role of analytics in supporting decision-making and strategic planning in healthcare organisations, using suitable examples.
Q14. Discuss the ethical and practical challenges involved in implementing AI-based solutions in healthcare organisations and suggest measures to address them.

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