30 years of EMR, AI
Dr. Jothydev Kesavadev presented 'Experience Integrating AI in our EMR: DTMS‑AI' at ATTD, saying they’re using 30 years of longitudinal diabetes data for pattern recognition and predictive, personalized treatment inside a Diabetes Tele Management System. (x.com)
ATTD 2026 ran in Barcelona from March 11–14, 2026 and lists Dr. Jothydev Kesavadev among its faculty for that meeting. (attd.kenes.com; attd.kenes.com/faculty/) The Diabetes Tele Management System (DTMS®) that underpins the EMR traces back to 1997 and is presented as a long-running telemedicine platform from Jothydev’s Diabetes Research Centre in Kerala. (jothydev.net; jothydev.com/research/telemedicineindiabetes.html) A recent conference abstract reporting on DTMS data described a longitudinal real‑world analysis covering 1997 to “present” with 7,780 people with diabetes included, characterizing lipid outcomes and predictors across that multi‑decade dataset. (diabetesjournals.org) Earlier published work from Kesavadev’s group described a retrospective DTMS cohort of 1,000 people with type 2 diabetes in which telemedicine follow‑up was associated with achieving target HbA1c values without serious symptomatic hypoglycaemia. (discovery.researcher.life; jothydev.net/cv.php) The ATTD program explicitly listed “Artificial Intelligence in EMR and Data Management” among its abstract topics, and press coverage from the meeting highlighted AI as a central theme at ATTD 2026. (attd.kenes.com/abstract-topics/; prnewswire.com) Jothydev’s Diabetes Research Centre is reported as accredited or recognized by industry and professional bodies (including Medtronic and Roche affiliations and IDF recognition for the Trivandrum site), providing institutional context for a large, linked EMR used in DTMS analyses. (jothydev.net/cv.php; jothydev.net/index.html)
