{
  "id": 5956,
  "url": "https://arxiv.org/abs/2604.11125v1",
  "title": "A Proposed Biomedical Data Policy Framework to Reduce Fragmentation, Improve Quality, and Incentivize Sharing in Indian Healthcare in the era of Artificial Intelligence and Digital Health",
  "summary": "India generates vast biomedical data through postgraduate research, government hospital services and audits, government schemes, private hospitals and their electronic medical record (EMR) systems, insurance programs and standalone clinics. Unfortunately, these resources remain fragmented across institutional silos and vendor-locked EMR systems. The fundamental bottleneck is not technological but economic and academic. There is a systemic misalignment of incentives that renders data sharing a hi",
  "authors": "Nikhil Mehta, Sachin Gupta, Gouri RP Anand",
  "category": "research",
  "topics": "regulation,safety-alignment,healthcare,transparency",
  "orgs": null,
  "regions": "india",
  "published_at": "2026-04-13T07:41:43.000Z",
  "fetched_at": "2026-07-14T16:32:06.471Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5956",
  "original_url": "https://arxiv.org/abs/2604.11125v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}