{
  "id": 12342718,
  "title": "Integration is the real barrier to AI in hospitals: Experts",
  "url": "https://urgent.news/2026/10/06/integration-is-the-real-barrier-to-ai-in-hospitals-experts",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-06T08:53:54.000Z",
  "source": {
    "name": "ETHealthworld",
    "slug": "ethealthworld",
    "url": "https://health.economictimes.indiatimes.com/news/industry/integration-is-the-real-barrier-to-ai-in-hospitals-experts/134730467"
  },
  "original_language": "en",
  "account": "At the sixth edition of the ET Healthcare Leaders Summit, healthcare experts gathered to discuss the potential of artificial intelligence (AI) in transforming the Indian healthcare system. While India boasts a multitude of AI pilots in healthcare, the real challenge lies in integrating these technologies into everyday practice, rather than treating them as an additional expense. The panel, titled \"Is AI the Care Catalyst Expanding Reach, Scaling Impact?\" featured J.P. Dwivedi, Chief Information Officer (CIO) of Rajiv Gandhi Cancer Institute and Research Centre, Dr. Saurav Basu, Senior Scientist at the Indian Council of Medical Research (ICMR), and Kalyan Sivasailam, Co-Founder of 5C Network.\n\nDr. Saurav Basu highlighted a critical gap between AI screening and actual care provision. Despite having advanced algorithms capable of diagnosing various conditions, healthcare institutions often lack the necessary resources to provide effective care once a diagnosis is made. This phenomenon creates a \"valley of death,\" where approximately 95% of AI pilots fail to transition from the pilot stage to full integration within the healthcare system. Dr. Basu emphasized the importance of addressing algorithmic biases, which often arise when training datasets fail to represent the diverse Indian population adequately. He cautioned that AI models with high accuracy on small sample sizes might not generalize well across different settings.\n\nKalyan Sivasailam pointed out the distinction between AI and conventional software, which determines whether AI can scale commercially. AI should be deflationary, reducing costs rather than inflating them through additional labor requirements. Sivasailam observed that smaller hospitals and diagnostic centers are more receptive to AI solutions, as they require less investment and can leverage AI to enhance their operations. He predicted that India, with its vast data resources, could potentially become a global leader in AI-driven diagnosis, as the country's scale allows for the development of models that are more generable and adaptable to various clinical scenarios.\n\nDr. J.P. Dwivedi, the panel's CIO, noted that clinical adoption is no longer a significant barrier to AI integration. He provided examples of practical applications, such as automated patient record classification, AI-generated clinical summaries, and radiology trend analysis. At his institution, AI-assisted document processing has reduced a task that previously took several minutes to just one minute. However, Dwivedi cautioned against treating AI adoption as a fragmented process, emphasizing the need for a well-coordinated, integrated AI platform to ensure seamless adoption throughout the healthcare system.",
  "summary": "Speaking at the sixth edition of the ET Healthcare Leaders Summit, J.P. Dwivedi, Chief Information Officer (CIO), Rajiv Gandhi Cancer Institute and Research Centre, Dr. Saurav Basu, Senior Scientist, Indian Council of Medical Research (ICMR), and Kalyan Sivasailam, Co-Founder, 5C Network said the Integration is the real barrier to AI in hospitals.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}