A Cloud-based Healthcare Management System
Scenario:
A startup called SmartHealth is developing a cloud-based healthcare management system for hospitals and clinics. The system will:
- Allow patients to book appointments online, view medical history, and receive e-prescriptions.
- Enable doctors to manage appointments, update patient records, and provide tele-consultations.
- Provide hospital administrators with reports on patient flow, staff schedules, and billing.
- Include a mobile app for patients and a web portal for doctors and administrators.
The startup faces challenges such as:
- Ensuring data security and privacy (HIPAA/GDPR compliance).
- Balancing agile development with strict healthcare regulations.
- Handling scalability as more hospitals adopt the system.
- Integration with third-party services (insurance systems, lab reports).
- Providing 24/7 availability with minimal downtime.
Batch 11:
- Identify the functional and non-functional requirements of the SmartHealth system.
- Which requirement elicitation techniques would you use to gather inputs from doctors, patients, and administrators? Why?
Batch 12:
- Draw a use case diagram for the appointment booking process.
- Propose a high-level architecture (layered, microservices, or monolithic). Justify your choice.
- How would you ensure data security and compliance in the system design?
Batch 13:
- Which software process model (Waterfall, Agile, Spiral, DevOps, etc.) would you recommend for SmartHealth? Explain.
- How can agile practices be adapted to meet healthcare regulations and documentation requirements?
Batch 14:
- Suggest a testing strategy (unit, integration, system, acceptance, security testing) for SmartHealth.
- What methods would you use to test the scalability and performance of the system under heavy load?
Batch 15:
- Identify possible risks in this project (technical, regulatory, organizational) and propose mitigation strategies.
- If the project team is distributed globally, what collaboration and communication tools would you recommend?
Batch 16:
- How should SmartHealth handle system updates without disrupting hospital operations?
- Suggest potential future enhancements (AI diagnostics, wearable integration, predictive analytics).