Daijiworld Media Network - New Delhi
New Delhi, Dec 31: The Clinical Decision Support System (CDSS), an artificial intelligence-driven tool aimed at standardised data capture and improved clinical consistency, is set to be deployed across public and private hospitals in the country.
CDSS is being implemented under the Ayushman Bharat Digital Mission (ABDM) in collaboration with the All-India Institute of Medical Sciences (AIIMS) and the Centre for Chronic Disease Control (CCDC). The system provides free digital assistance to doctors, enabling faster and evidence-based clinical decision-making.
A senior Health Ministry official said the platform has been integrated with the national telemedicine service eSanjeevani, with its differential diagnosis AI model trained on the most common symptoms and diseases recorded during teleconsultations, including respiratory infections, gastritis, fever and diabetes.
The system comprises two key components — the Patient Assistance Form (PAF) at the spoke level, such as Ayushman Arogya Mandirs, and the differential diagnosis feature at the hub level, covering primary, secondary and tertiary care hospitals.
Validated by AIIMS Rishikesh, the PAF allows mid-level healthcare providers to digitally record patient complaints in an intuitive manner. Available in 13 languages and aligned with international clinical terminology standards, it recommends the appropriate specialty department for teleconsultation based on patient data, reducing errors and ensuring accurate referrals from the spoke level.
The differential diagnosis module uses patient information captured through the PAF to suggest up to three possible diagnoses to doctors at the hub level, significantly lowering the risk of missed or delayed diagnosis and aiding in appropriate treatment decisions.
The official said eSanjeevani consultation data has been used to train the system, adding that since CDSS integration in April 2023 until November 2025, nearly 282 million teleconsultations have benefited from the technology.
As part of the nationwide rollout, States and Union Territories have been advised to update and obtain approval for their software under ABDM to enable seamless integration.
Explaining the safeguards, the official noted that the AI model analyses structured patient data such as age, gender and symptoms to suggest diagnoses with high accuracy, while doctors retain full control to accept or reject the recommendations. Feedback from clinicians is continuously used to refine the system.
“AI does not replace clinical judgement. It supports it through a Human-in-the-Loop approach, ensuring safety, accountability and better healthcare outcomes,” the official said.