Python FHIR Hospital Modules Development
Budget: ₹150,000 – ₹250,000 INR
I’m expanding our Hospital Information Management System and need a seasoned Python team to engineer several new, fully FHIR-compatible modules on a MongoDB back-end. Your work will plug directly into our existing microservice architecture, so clean RESTful endpoints, solid documentation, and unit tests are non-negotiable.
Scope of work
• Inpatient Department
– Bed Management (real-time occupancy tracking)
– Nurse Roster (shift planning and hand-off notes)
– Admission & Discharge workflows
• Pharmacy
– Inventory Management with threshold alerts
– Prescription Management tied to patient records
– Supplier Management and purchase orders
• Billing & Invoicing with customizable tariff rules
• Operating Theatre booking and utilisation management
Key requirements
• Python 3.x, FastAPI (or similar) and strict adherence to HL7 FHIR R4 resources
• MongoDB schema design optimised for high-volume clinical data
• Role-based access control, audit logging, and HIPAA-aligned security practices
• Swagger / OpenAPI documentation and postman collections for every endpoint
• Docker-based deployment scripts for rapid staging
Acceptance criteria
1. All endpoints pass the supplied Postman test suite.
2. FHIR resource validation succeeds against the official profiles we provide.
3. 90 % unit-test coverage across business logic.
4. Docker image builds and runs with a single command.
If your team already delivers production healthcare software in Python and can commit to weekly demos, let’s talk and set up our first milestone right away.
Scope of work
• Inpatient Department
– Bed Management (real-time occupancy tracking)
– Nurse Roster (shift planning and hand-off notes)
– Admission & Discharge workflows
• Pharmacy
– Inventory Management with threshold alerts
– Prescription Management tied to patient records
– Supplier Management and purchase orders
• Billing & Invoicing with customizable tariff rules
• Operating Theatre booking and utilisation management
Key requirements
• Python 3.x, FastAPI (or similar) and strict adherence to HL7 FHIR R4 resources
• MongoDB schema design optimised for high-volume clinical data
• Role-based access control, audit logging, and HIPAA-aligned security practices
• Swagger / OpenAPI documentation and postman collections for every endpoint
• Docker-based deployment scripts for rapid staging
Acceptance criteria
1. All endpoints pass the supplied Postman test suite.
2. FHIR resource validation succeeds against the official profiles we provide.
3. 90 % unit-test coverage across business logic.
4. Docker image builds and runs with a single command.
If your team already delivers production healthcare software in Python and can commit to weekly demos, let’s talk and set up our first milestone right away.
Related categories:
Python
Django
NoSQL Couch & Mongo
Inventory Management
PostgreSQL
Docker
RESTful API
MongoDB
Microservices
FastAPI