Himveda Hospital Management System

Client problem

Manual patient records and fragmented workflows made it hard to manage appointments, billing, and daily operations with accuracy and speed.

Solution

We built a hospital management system focused on clear workflows, role-based access, and reliable data handling across core hospital operations.

What we built

• Patient registration and patient profiles
• Doctor scheduling and appointment booking
• Billing workflow with receipts and history
• Role-based access for admin/staff
• Operational dashboard for daily activity

Key modules

• Patients: registration, search, history
• Appointments: booking, rescheduling, status tracking
• Billing: invoices, payments, exports
• Users/Roles: permissions and access control
• Reports: basic operational summaries

How it was built

1. Started with workflow mapping (reception → doctor → billing) to remove ambiguous states.
2. Designed a data model around core entities: Patient, Appointment, Invoice, Payment, and User.
3. Built CRUD screens with strict validation and predictable error handling.
4. Implemented RBAC so each role only sees and can act on relevant modules.
5. Added search/filter patterns to keep daily operations fast for staff.

Challenges

• Keeping workflows simple while supporting real-world exceptions (reschedules, partial payments).
• Preventing data duplication for patients and maintaining clean history.
• Balancing speed of UI with correctness of backend rules.

Quality & release

• Input validation on every critical action.
• Basic QA flows for booking, billing, and role permissions.
• Release checklist to avoid breaking daily operations.

Architecture

• Role-based admin application designed around real hospital workflows.
• Clear validation boundaries between UI, API, and data layer.
• Data model centered on operational entities and traceable history.

Key decisions

• RBAC to prevent accidental access to sensitive operations.
• Search-first UI patterns to reduce time spent finding patient records.
• Schema-driven modeling to keep billing and appointment states consistent.

Scalability considerations

• Designed to add departments and new modules without rewriting core flows.
• Supports growth in patient records with index-friendly queries.
• Ready for future modules (lab reports, pharmacy, inventory) without breaking existing design.

Outcome

• More reliable appointment and billing operations
• Faster retrieval of patient records
• Clear ownership and reduced operational confusion

Screenshots