Incomplete or unstructured patient data can affect the accuracy and efficiency of patient health management. For frontline clinicians managing high patient volumes, varied symptom presentations, and incomplete documentation, the absence of structured data and decision support can lead to variability in diagnosis, longer consultation times, and missed clinical cues.
The Challenge
Our AI Solution
The Clinical Decision Support System (CDSS) is an AI-powered diagnostic assistance solution developed with the Ministry of Health and Family Welfare (MoHFW). Operational since April 2023, it is implemented with the Centre for Development of Advanced Computing (C-DAC), Mohali, and embedded within eSanjeevani, India’s national telemedicine platform.
CDSS strengthens diagnostic quality across eSanjeevani’s hub-and-spoke model by giving doctors and Community Health Officers (CHOs) structured patient-related information and diagnostic support within existing teleconsultation workflows.
How it Works
01
Patient Complaint Recording
CHOs record patient complaints using the Patient Assistant Form (PAF), capturing symptoms, clinical history, and examination findings in English and 12 Indian languages.
Patient Complaint Recording
CHOs record patient complaints using the Patient Assistant Form (PAF), capturing symptoms, clinical history, and examination findings in English and 12 Indian languages.
02
Standardized Clinical Documentation
The PAF captures onset, duration, and severity of symptoms through standardized multiple-choice questions, coded to international standards.
Standardized Clinical Documentation
The PAF captures onset, duration, and severity of symptoms through standardized multiple-choice questions, coded to international standards.
03
AI-Enabled Differential Diagnosis
Patient inputs are encoded into a clinical representation and analyzed by a multi-class classification model.
AI-Enabled Differential Diagnosis
Patient inputs are encoded into a clinical representation and analyzed by a multi-class classification model.
04
Clinical Decision Support for Doctors
AI-enabled CDSS provides case summaries and diagnosis recommendations during consultations, without replacing clinical judgement.
Clinical Decision Support for Doctors
AI-enabled CDSS provides case summaries and diagnosis recommendations during consultations, without replacing clinical judgement.
Where It's Deployed
Deployed at national scale through eSanjeevani.
28
States
8
Union Territories
Attribution and Impact
- Attribution is established through direct feedback from CHOs and doctors using eSanjeevani, measuring perceived utility and operational efficiency.
- Increased Operational Efficiency: 62 percent users reported shorter consultation duration with CDSS use and 85.7 percent expressed intention to continue using the tools.
- High Utility Value: 89.7 percent users considered structured symptom questions relevant, and 92.5 percent rated symptom summaries as clear or clear but improvable.
- Integration Into Existing Systems: Qualitative findings identified workflow integration, structured documentation, and diagnostic support as major strengths.
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Looking Ahead
As India continues to expand digital healthcare access, solutions like CDSS will be essential to ensure scale does not come at the cost of quality, building a telemedicine system that is accessible, accurate, efficient, and equitable.