IIITH develops browser to automate health care decisions, develop a robust home care system

IIITH researchers who have been engaged in the pursuit of applied health care research are currently developing an AI-powered web browser that can accurately assess patient risk based on prior medical history and the current line of treatment. The predictive tool will assist teleoperators or the primary health care providers in making a decision of either continuing home-based care or flagging an emergency and consequently referring to a superior facility for specialised treatment.

The initiative is part of I-Hub-Data which is a technology innovation hub established under the National Mission on Interdisciplinary Cyber Physical Systems (NM-ICPS) in the area of data-driven technologies.

Speaking of the project's initial focus, its principal investigator and the academic head of I-Hub-Data Prof. Deva Priyakumar said, "Non-communicable diseases such as diabetes and hypertension contribute to the bulk of the disease burden in the Indian population. In addition to this, an increase in the coexistence of these two diseases has been observed recently. There is also a greater emphasis on prevention rather than therapy, as well as a significant increase in the use of evidence and data to speed up innovation."

I-Hub's goal to amplify research in broad data-driven technologies along with its dissemination and translation across the country ties in with Google Research India's vision of AI with real-world impact. As per its AI for Social Good (AI4SG) website, they aim to support academic researchers, NGOs, and other organisations in a variety of fields such as public health care. The data partner in this collaborative effort is the Wadhwani Initiative for Sustainable Healthcare (WISH) Foundation which is the flagship program of the Lords Education and Health Society (LEHS), an NGO that aims to make primary healthcare accessible and equitable to all Indians.

Data Collection

For any machine learning solution, the model ought to be trained over a large set of data. In this case, researchers are using the electronic health records deployed at various health centres as well as government data sets that LEHS has access to as part of various technical collaborations. The data had been most actively collected from the states of Rajasthan, Madhya Pradesh, Assam and Uttar Pradesh. The primary health care centres from across rural and urban regions of these states process the data collected via Point of Care Devices through the ANMs of the centres.

Beyond decision-making

The long-term goal of the health care enterprise is to have a robust home-based care system in place. The idea is that it will not end once a decision or a referral (to a health care facility) is made. The team will plan on monitoring the patient's well-being long after his or her visit to the primary health care centre. It may involve home visits by ANMs, recording of vital information such as BP and sending notifications related to nutrition and diet at regular intervals. According to Prof. Deva, the project is in line with the vision of the government of India and LEHS' existing MoUs with various state governments make it highly likely to succeed in primary health care.