Generative AI Applications in Health Care: Opportunities for Indian Hospitals Generative Artificial Intelligence (GenAI) is transforming healthcare from a reactive model to a predictive, personalized, and efficient system. Large language models, ambient AI, and multimodal AI are being used to reduce physician burnout, improve patient engagement, automate documentation, and enhance administrative efficiency. Present Applications 1. AI Medical Documentation AI listens to doctor-patient conversations and automatically generates clinical notes, discharge summaries, ICD coding, and prescriptions. Examples: Abridge Microsoft Dragon Copilot (Nuance DAX) Suki AI Nabla These systems can save 1–2 hours of physician documentation daily. 2. Clinical Decision Support AI assists doctors by summarizing patient records, suggesting investigations, and retrieving evidence-based guidelines. 3. Radiology and Pathology AI helps detect abnormalities in X-rays, CT scans, ECGs, retinal images, and patho...
Punitive judgments without nuanced medical understanding risk promoting defensive medicine, rising healthcare costs & reduced access to prenatal care. Courts need science-informed standards. Medicine is not mathematics. Every missed diagnosis is not negligence. Only 0.07% of specialists surveyed considered a missed anomaly scan as “criminal negligence,” while 41.4% stated it reflects the inherent limitations of technology itself. IMA can defend sonologists effectively only through a multi-dimensional medico-legal, scientific, policy and public advocacy strategy — not by emotionally denying patient suffering, but by establishing scientifically valid standards for negligence assessment. Key Advocacy Measures for Indian Medical Association 1. Establish “Missed Anomaly ≠ Automatic Negligence” IMA can rely on: The Bolam principle Jacob Mathew v. State of Punjab Expert consensus from JIMA surveys Indian courts have repeatedly held that: an error of judgment alone does not amount to negl...