P.R. Girish Kumar
Gadgeon Smart Systems,
United States
Keywords: outpatient monitoring, remote monitoring, AI in healthcare
Summary:
As healthcare shifts from reactive treatment to proactive and continuous care, generative and agentic AI systems promise to transform how clinicians and patients interact. Outpatient market has a gap where a Clinician doesn't get crucial updates until a patient visit next and a worsening symptom or medication effectiveness can be missed in the window. Gadgeon along with a Clinic chain in India has already piloted a digital system capturing the various symptoms from Outpatients, detecting the disease progress and alerting a doctor when it worsens. By using LLMs to interact with patients and IoT medical devices to collect additional data the system captures vital information when the patient is at home. The talk confronts today’s critical limitations of LLMs in healthcare — hallucinations, privacy, regulatory compliance, bias, and explainability — and outlines engineering strategies for trustworthy deployment within the current limitations. The talk also captures Practical challenges of the system and its usage for diseases like Dengue fever, Pregnancy etc.