data-quality
- 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 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.
- Real-world evidence
Real-world evidence in India: what it is, the rules, and how studies are built
What real-world data and evidence are, what Indian rules say about post-marketing and observational studies, and how a study built with clinicians works.