Digital health intelligence network

Заказчик: AI | Опубликовано: 20.02.2026

Project Title Healthcare SaaS MVP – Doctor Collaboration & Clinical Management Platform ⸻ Project Overview We are building a Healthcare SaaS MVP designed to: • Digitize clinical workflows • Enable smart token-based OPD management • Generate digital prescriptions • Integrate ABHA (ABDM compliant) • Build a verified doctor bidirectional referral & collaboration network • Architect AI-ready analytics for future deployment This is a pilot-stage MVP with controlled user limits before scaling nationally. We are looking for an experienced Full-Stack Developer or Tech Team with prior HealthTech/SaaS experience. ⸻ User Roles Doctor • Manage consultations • Generate smart tokens • Write digital prescriptions • View treatment analytics • Add patients via mobile number or ABHA ID • Add 1 Nurse and 1 Lab Technician (MVP limit) • Participate in Doctor Referral & Collaboration Network Patient • Receive consultation token • Track live OPD queue status • Access digital prescriptions • View visit history • ABHA-linked identity Nurse/Admin • Record vitals (BP, weight, temperature) • Assist in patient check-in • Support OPD workflow ⸻ Core MVP Modules 1. Smart Token & Queue System • Patient onboarding via mobile number or ABHA ID • Unique consultation token generation • Real-time queue tracking • Digital prescription issuance ⸻ 2. Doctor Command Dashboard • Patient management • Daily patient summary • analytical data distribution • Most common diseases trends • Follow-up tracking Posting success stories of doctors (in doctors community and social media) generated by AI through patient tracking Clean analytics with structured AI-ready data architecture. ⸻ 3. Doctor Referral & Collaboration Network (Core Differentiator) • Doctor-only verified access • Professional profiles (specialty, experience, location) • Post anonymized case discussions • Post monthly achievements • Like & comment functionality • Referral tagging between doctors • Basic referral log tracking • Private, moderated ecosystem (not public social media) ⸻ 4. Medicine & Prescription Module • Limited predefined medicine list • Free-text medicine entry option • Structured prescription builder ⸻ Compliance & Technical Requirements ABHA Integration (Mandatory) • ABDM-compliant integration • ABHA ID-based patient linking • Consent-based data architecture • Secure data handling as per Indian digital health standards Location System • Auto GPS capture during doctor login • Consent-based permission handling • Secure geo-coordinate storage AI Integration Strategy • AI-ready architecture from Day 1 • Structured clinical data collection • Model training pipeline included • AI features deployed only after validation phase ⸻ MVP Limits • Maximum 100 Doctors • Maximum 30,000 Patients • Cross-platform app (Flutter / React Native preferred) • Hosting, cloud, API, and third-party costs borne by client ⸻ Preferred Tech Stack • Backend: Node.js / Django / Laravel • Frontend: React / Flutter / React Native • Database: PostgreSQL / MongoDB • Secure role-based authentication • Encrypted medical data storage • Scalable SaaS-ready architecture Healthcare software experience preferred. ⸻ Deliverables • Production-ready MVP • Admin panel • ABHA integration setup • API documentation • Database schema • Deployment support • AI-ready data architecture ⸻ Timeline Estimated: 8–12 weeks Please include in proposal: • Suggested tech stack • Cost estimate • Timeline breakdown • Relevant HealthTech experience • Architecture overview