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AI for Good Innovate for Impact



                          Use Case 7: AI-Powered Smart Healthcare for Remote &

                      Underserved Communities















                      Country: India


                      Organization: Tata Elxsi
                      Contact Person(s):

                           Jesu Maria Antony, jesumariaantony.s@tataelxsi.co.in
                           Bhuvaneshwari S, bhuvaneshwari.s@tataelxsi.co.in
                           Rajesh M, rajesh.m2@ tataelxsi .co .in


                      1       Use Case Summary Table

                       Item                          Details
                       Category                      Healthcare

                       Problem Addressed             Many rural and underserved communities face the critical
                                                     challenge of limited access to quality healthcare. This isn't
                                                     just an inconvenience; it's a systemic issue driven by a combi-
                                                     nation of inadequate infrastructure, significant geographic
                                                     isolation, and persistent healthcare workforce shortages. As
                                                     a result, residents in these areas often experience delayed
                                                     diagnoses, limited treatment options, and poorer health
                                                     outcomes.

                       Key Aspects of Solution       •  Real-time data exchange
                                                     •  AI-enabled diagnostics and decision support
                                                     •  Remote monitoring and mobile health services
                                                     •  Personalized, context-aware healthcare delivery

                       Technology Keywords           Remote Healthcare, Intelligent Health Systems, AI Diagnos-
                                                     tics, Continuous Monitoring, Connectivity, Preventive Health

                       Data Availability             Combination of public health data and private, anonymised
                                                     patient data from pilot regions

                       Metadata (Type of Data)       Heartbeat in Beats per minute (bpm), sleep duration in hours
                                                     (hr), skin temperature in degrees Celsius

                       Model Training and Fine-Tuning  Isolation Forest models for anomaly detection and Random
                                                     Survival Forests for survival analysis are trained on anony-
                                                     mised health datasets to detect early signs of illness,
                                                     recommend treatments, and personalise health plans






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