ai
- Research
AI in Indian healthcare: the research questions that matter
Code-mixed clinical speech, safe AI-written notes, models that hold up on Indian patients, evidence from routine care: the open questions and what is known.
- AI in healthcare
Is your hospital ready for AI? A readiness checklist for Indian hospitals
What AI readiness means for an Indian hospital: digital records, data quality, coding, security, governance and people. A checklist, and where to start.
- Clinical documentation
AI scribes for doctors in India: what the evidence says, and what to ask
Do ambient AI scribes save doctors time? What the trials found, how errors are caught, what Indian consults add, and the questions to ask before you choose one.
- Clinical data
Clinical data quality: why AI in healthcare starts with clean records
Incomplete, inconsistent or wrongly coded records make AI unreliable. How to measure clinical data quality, where it goes wrong, and how to fix it at source.
- AI governance
ICMR's guidelines for AI in healthcare, explained for hospitals
The ten principles in ICMR's 2023 ethical guidelines for AI in healthcare, what they ask of hospitals and ethics committees, and a checklist to act on them.