Purpose Bharat Swasth is a medical report interpretation tool designed specifically for Indian users' lab reports. Users upload or photograph blood test reports, and the platform uses its proprietary Nidān AI to generate plain-language summaries, helping users understand the meaning of each indicator in the report, entirely free and without registration. The official statement emphasizes that its target users include residents of India's tier-2 and tier-3 cities, as well as people who have difficulty obtaining detailed explanations of their reports from doctors.
Main Capabilities
- Report interpretation: Supports more than 50 test types, including complete blood count (CBC), fasting blood glucose and glycated hemoglobin, lipid profile, thyroid function, liver function, kidney function, urinalysis, vitamin D and B12, etc.
- Parameter extraction: Claims to extract more than 58 test values, with a processing time of about 8 milliseconds, using a "regex-first extraction" approach, where AI is used only for interpretation rather than reading values, to avoid numerical hallucinations.
- Reference ranges: Uses ICMR and AHA guidelines by default, and adjusts reference intervals for the Indian population rather than Western standards.
- Output content: Each report generates a health score (0–100), risk flags, an action plan, and personalized dietary recommendations, with support for English and Hindi.
- Multi-format support: Accepts photos, PDFs, scans, and multi-page reports, covering the formats of more than 60 Indian laboratories, including Dr. Lal PathLabs, Thyrocare, SRL, and Agilus.
- Trend tracking: Reports can be saved and compared multiple times within the app, displaying health score history, suitable for long-term monitoring of indicators such as HbA1c for diabetes.
- Family profiles: Reports for parents, spouses, and children can be managed within the same dashboard.
- Institutional features: Provides FHIR R4 export, EHR integration, and batch screening analysis, suitable for diagnostic chains, hospitals, clinics, and government public health programs such as Ayushman Bharat.
How to Use Users upload report files or photos through the website, or can send images directly via WhatsApp. The system returns a structured summary within about 30 seconds, with no account login required and no app download required. The mobile app is now available for download on iOS and Android platforms, for uploading reports, viewing trends, and receiving reminders.
Use Cases
- Individual users: Quickly understand physical examination or lab results, and receive dietary adjustment suggestions and follow-up reminders.
- Family caregiving: Manage historical reports for multiple family members and track changes in chronic disease indicators.
- Medical institutions: Generate report interpretations for patients in batches, or integrate into existing EHR systems.
- Government and public health programs: Perform batch analysis and interpretation of screening data.Privacy and Security The official statement says that user health data is not retained, and reports are discarded immediately after processing; transmission uses TLS 1.3 encryption; Aadhaar and PAN information is stripped before processing; data is not used to train any AI models.
Limitations and Precautions
- The platform only provides AI-generated educational information and does not constitute professional medical advice, diagnosis, or treatment.
- AI analysis is based on pattern recognition, may not cover all medical details, and cannot replace clinical judgment.
- It is prohibited to start, stop, or adjust medications on your own based on AI analysis; all medication decisions must be consulted with a doctor.
- Use of this platform does not establish a doctor-patient relationship.
- In a medical emergency, the official statement explicitly requires not using this platform and recommends immediately calling Indian emergency numbers (emergency 112, ambulance 108, police 100).
Other Information Nidān AI claims to use a 13-stage analysis process, and related patents are pending. The official page mentions that it supports "requesting the addition of laboratories not yet covered," with a promise to add them within 48 hours. The health score calculation method is based on this patent-pending engine rather than a generic formula. The platform does not provide specific information about paid plans, and pricing details are not currently available.