About the program

Why 60 Cr citizens of the country already have a digital health ID aka Ayushmann Bharat Health Account With India adopting UPI the way it did the next goal is to simplify how citizens access and share health care data with their care providers ABDM Ayushmann Bharat Digital Mission aims to provide the underlying framework or guidelines on how healthcare organisations can upgrade their systems to become ABDM compliant or new health tech startups can build their applications on top of ABDM ABDM defines the framework for discovering services and enabling interoperability of data shared across systems To enable this operability FHIR fast Healthcare interoperability resources has been chosen as the standard for exchanging health data between two systems What it will accomplish 2000 integrators ie healthcare organizations or technology service providers are already on the verge of integration with ABDM However the number of successful integrations which are able to exchange data in a structured format is less than 3 These entities find a lot of challenges in going through that learning curve of knowing about FHIR and it takes a lot of time for the integration to get completed or entities drop off in between when they encounter these challenges and dont get appropriate support The idea here is to build an open source tool for developers who can then use a template to send data and the tool will automatically convert it into FHIR while sending data While receiving data from any other ABDM compliant solution the reverse flow needs to happen Enabling data exchange in a structured format will ensure healthcare organizations are empowered to analyse the data and provide better care to the patient Proposed Objective The objective of this project is to build a FHIR converter which provides the ecosystem an easy way to convert their data into a structured FHIR format and reverse along with values embedded from snomed CT Goals MidPoint Milestone Goals 1 Understand and document the standard set of fields for each type of health record generated 2 Conversion of the template to FHIR formats as per ABDM 3 Validation of FHIR JSONs as per ABDM defined health information types using a UI tool 4 Reverse translation of the FHIR data into the template defined in step 1 5 Snomed CT codes for the data entered in FHIR JSONs to generate fully structured FHIR documents Expected Outcome The final product should have the following components Document entailing the standard set of fields chosen in each health information type defined by ABDM Tool which can accept the data in the template of step 1 and show the converted FHIR JSON or return it in an API format UI for FHIR JSON validation Acceptance Criteria FHIR JSON converted should be fully visible in an ABDM compatible HIU or PHR App Snomed CT codes should be present in the fully structured FHIR JSONs These FHIR JSONs should also be validated in any of the tools mad available by NRCES Amazon FHIR services or HL7 tools

Perks

1. Lucrative stipend of INR 1 lakh over a period of 3 months 2. Dedicated 1 on 1 mentorship by industry experts 3. Handson experience to hone your skills 4. Access to bootcamps and expert sessions 5. Potential job extended internship opportunities 6. Opportunity to network with global opensource tech leaders

Who can apply?

Only those candidates can apply who:

1. are from Any,
2. and specialisation from Any,
3. are available for duration of 3 Months
4. have relevant skills and interests

Terms of Engagement

1. 50000 received on completion of midpoint milestone as decided with mentor 2. 50000 received on completion of final milestone as decided with mentor 3. Certificate of completion received on successful completion of internship

Number of openings

1