Health Care:

With data science and optimization models, public-health system could be transformed into a high-quality and quick-response service-delivery system. The data analytics, AI and optimization-based solutions have great potential in bringing efficiency and effectiveness into service-delivery. The approach could include analysing the past information at primary health centre (PHC) level.  With the help of machine learning models, a predictive health-care system could be developed. Further, simulation and optimization models would help is the planning and operations management of primary health-care service supply chains. For example, a possible web-based TB registration scheme could generate massive data by enhancing the outreach of the health services. Network of telemedicine services, mother-and-child tracking system of weekly voice-messages to pregnant women and neo-natal mothers could be facilitated. With more than one billion mobile users in the country, mobile phones offer tremendous opportunities in the efficient health-service delivery, which could include:

• At any individual level, a predictive approach to provide proactive primary health services to avoid severe health complications;
• Ensuring the patient-tracking and treatment-adherence by sending messages to patients with diabetes or HIV/AIDS reminding them to take treatment;
• Quick-reporting of cases during outbreaks or epidemics;
• Alerting next-level of health services regarding emergency situations such as difficult or complicated labour cases in remote rural areas;
• Advanced predictive-response with optimal ambulance routing system could reduce the time of reaching for emergency health services.

Publications:

 - A Generalized Epidemiological Model for COVID-19 with Dynamic and Asymptomatic Population, arXiv:2011.09686 [q-bio.PE], 2020 (A Ghatak, SS Patel, S Roy, and S Bonnerjee)

- Application of ML Algorithm for Controllling MMR of Andhra Pradesh (SS Patel and Ankit Deshia) (Working Paper).