Artificial Intelligence could shift healthcare from diagnosis to early prediction, say experts
Artificial Intelligence could shift healthcare from diagnosing diseases after they emerge to predicting them earlier, while enabling personalised treatment, widening access to medical expertise and
Artificial Intelligence could shift healthcare from diagnosing diseases after they emerge to predicting them earlier, while enabling personalised treatment, widening access to medical expertise and connecting fragmented patient records, said experts at âAI-Enabled Healthcare and Digital Transformationâ conference organised by the Federation of Indian Chambers of Commerce and Industry (FICCI) in Hyderabad on Saturday. The event also marked the launch of the first FICCI Telangana Healthcare Panel, which is expected to work on policy recommendations for the Telangana government.
The panel will focus on AI-enabled care, preventive and outcomes-based healthcare, medical tourism, healthcare accessibility, and education and skilling for the healthcare workforce. Mona Duggal, Director, ICMR- Institute for Research in Digital Health (NIRDH), called for a broader approach to the use of health data, saying the healthcare system should move from maintaining health records to creating âwellness recordsâ. She argued that a proactive, wellness-first approach should feed into clinical health records rather than the other way around.
Avinash Pandey, Group Leader, NABH Digital Health, said healthcare organisations in India had invested heavily in digital systems over the past decade, but technology adoption alone had not translated into transformation. He said hospitals with sophisticated digital systems continued to see clinicians relying on paper records, while dashboards created for hospital leadership often went unused. Chinna Babu, Co-Chair, FICCI Telangana Healthcare Panel said preventive healthcare and accessible medical services needed to be extended beyond Hyderabad to Tier-2 and Tier-3 cities.
He said inadequate healthcare infrastructure in smaller towns was forcing patients to travel to larger cities for treatment, increasing their out-of-pocket expenditure.