Open HealthCare Network

Mentors: Student: Samiullah Javed

Accessing medical data through the care web app can be daunting for patients in rural or remote areas who often face challenges with digital literacy, internet connectivity or lack of access to computers. Currently, retrieving appointments, health records etc requires users to log in and navigate the care web app, which makes it difficult for those with limited digital exposure to access their essential medical information. This project introduces an Instant Messaging wrapper for the care EMR, built as a django plugin. Which allows patients and staff to securely fetch medical records, check appointments etc and receive alerts and notifications through familiar, easy to use messaging apps like WhatsApp. To ensure HIPAA security compliance, the system uses a 2 step authentication process which includes (1). matching phone number and (2). verifying requestor's date of birth. It will also include redis based caching, ratelimiting of requests to prevent abuse and async task management via celery to handle sending of notifications in the background. A frontend plugin will also be developed to give staff the ability to easily send alerts and notifications and allow patients to download PDFs, such as medications and lab reports. Deliverables: 1. A functional, django based backend plugin, capable of securely serving patient and staff queries via various instant messaging providers. 2. A frontend developed using care_hello_fe to manage notifications and handle PDF downloads. 3. Proper tests utilizing pytest and Playwright for both the backend and frontend. 4. Complete and comprehensive documentation using sphinx and swagger, along with setup guides and demo videos. 5. Production ready deployments of both the backend and frontend plugins integrated within care.

Mentors: Student: Raj_Kumar_

The proposed project aims to build a lightweight, scalable, and extensible alternative to the Snowstorm Terminology Server by leveraging Django and etcd—a fast, atomic, and consistent key-value store—as the backend database. Unlike Snowstorm, which is resource-intensive, limited to SNOMED CT, and does not support concept authoring, the new server will support full FHIR operations like $lookup, $validate-code, and $expand, along with custom endpoints for authoring, updating, and deleting concepts. Data will be loaded into optimized in-memory data structures (DAG and description dictionaries) on server startup, enabling fast traversal, search, and filtering. Multi-language support, real-time syncing from etcd, and an intuitive micro-frontend UI will allow users to manage codes seamlessly. The project also includes full integration into the existing Care ecosystem via a dedicated backend plugin and a React-based admin dashboard, ensuring drop-in replacement with no changes required in existing workflows. This solution will empower open-source healthcare platforms in resource-constrained regions to build, customize, and manage terminology services without relying on costly proprietary systems.

Mentors: Student: Siva Pidugu

This project implements comprehensive patient-facing digital health capabilities in the CARE platform by integrating Ayushman Bharat Digital Mission (ABDM) Personal Health Record (PHR) flows. While CARE currently supports provider-side health information exchange through the existing ABDM module, it lacks patient-centered features that would allow individuals to access and control their health data. My solution builds a complete set of APIs and interactive user interfaces to bridge this gap by implementing seven key components: ABHA Enrollment - Digital identity creation with multiple verification methods Profile Login - Secure multi-channel authentication and session management User Profile Management - Personal health information control and preferences Discovery and Linking - Finding and connecting fragmented health records Subscriptions & Notifications - Automated health updates and alerts Consent Management - Granular control over data sharing permissions Health Record Display - Unified view of medical history across providers The implementation seamlessly integrates with the existing ABDM module while adding complementary PHR capabilities, enabling CARE to function effectively in dual roles—as both a provider-focused clinical system and a patient-centered health record platform. Deliverables include a fully functional implementation of all ABDM PHR APIs, an intuitive and responsive patient portal interface, comprehensive transaction tracking for compliance, and thorough documentation. All components will adhere to healthcare security and privacy standards while providing a cohesive user experience. The completed project will transform healthcare delivery by eliminating information gaps between providers and empowering patients as active participants in their care journey.

Mentors: Student: Gurukiran

The goal of this project is to develop an HR management module for the CARE system, streamlining employee management and automating leave and holiday tracking. The platform enables HR to efficiently manage employee records, process leave requests, securely handle document uploads, manage holidays, and allows employees to apply for leave and access their profiles and leave history.

Mentors: Student: vikaspal8923

The project has the aim of providing offline data entry capability into the CARE form-based data collection system. Currently, users experience interruptions when network connectivity is lost, preventing data entry while in the field with the application opened in a disconnected state. This project will maintain coordination with CARE forms during offline status, allowing users to continue using the app normally.The approach will implement an offline-first architecture that includes application caching, local storage, and sync capabilities. I plan to implement caching while using Workbox and Service Workers to cache the appropriate application assets and form definitions so that the user interface can load and continue to operate without a network connection. I plan to use IndexedDB, managed through Dexie.js, to store the form responses as local data storage on the user’s device. After connectivity is re-established, an automatic background sync process will use React Query and PQueue to ensure reliable and conflict-free data sync with the established database on the central server. Conflict resolution strategies will be included to maintain integrity, safe and complete data from being 'lost' when multiple users could be updating the same data at the same time.