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Stanford Health CareAward

Nikesh Kotecha on Blueprint for Trust: How ChatEHR Establishes a Framework for Responsible AI in Clinical Care

What happened

Stanford Health Care receives award 2025 InterSystems Impact Award.

Source

Article excerpt

Highlighted: the sentence this signal was extracted from

Nikesh Kotecha on blueprint for trust: how ChatEHR establishes a framework for Responsible AI in clinical care. Stanford Health Care, part of Stanford Medicine, was awarded a 2025 InterSystems Impact Award for its AXIOM initiative for fast access to electronic health records. In turn, AXIOM underpins the ChatEHR medical chatbot that Nikesh Kotecha, head of the Data Science team at Stanford Health Care, presents below. The Impact Award recognizes the work of the team to deliver low-latency, comprehensive access to patient data from complex electronic health record (EHR) systems. This foundation has been essential to enabling the ChatEHR platform. Contribution by Nikesh Kotecha The integration of Large Language Models (LLMs) into health systems holds the promise of reducing administrative burden and cognitive overload for clinical teams. However, deploying such tools in clinical workflows requires a commitment to safety, governance, and continuous monitoring. Stanford Medicine's ChatEHR platform, an initiative developed as part of an enterprise investment in establishing a Data Science pillar, serves as an essential case study for any health system aiming for responsible AI adoption. Setting up a responsible clinical AI system requires focus on three key areas: a robust platform architecture, transparent governance, and continuous evaluation. A significant barrier to...

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Extracted by Autobound

From the Signal API record
Event
Award

What this signalsAn award often comes during a period of growth.

The full record

From the Signal API record

Details

Award
2025 InterSystems Impact Award
Category
Receives award

Extraction

Confidence
74%
Detected
Nov 17, 2025
signal_type
news
signal_subtype
receives_award

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This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/7bb6587c-4233-4995-8f2c-baa901b71265 returns this record as JSON. POST /v1/companies/enrich returns every signal for stanfordhealthcare.org.

{
  "signal_id": "7bb6587c-4233-4995-8f2c-baa901b71265",
  "signal_type": "news",
  "signal_subtype": "receives_award",
  "detected_at": "2025-11-17T00:00:00+00:00",
  "company": {
    "name": "Stanford Health Care",
    "domain": "stanfordhealthcare.org"
  },
  "data": {
    "url": "https://www.odbms.org/2025/11/blueprint-for-trust-how-chatehr-establishes-a-framework-for-responsible-ai-in-clinical-care",
    "award": "2025 InterSystems Impact Award",
    "title": "Nikesh Kotecha on Blueprint for Trust: How ChatEHR Establishes a Framework for Responsible AI in Clinical Care",
    "excerpt": "Nikesh Kotecha on blueprint for trust: how ChatEHR establishes a framework for Responsible AI in clinical care.\n\nStanford Health Care, part of Stanford Medicine, was awarded a 2025 InterSystems Impact Award for its AXIOM initiative for fast access to electronic health records. In turn, AXIOM underpins the ChatEHR medical chatbot that Nikesh Kotecha, head of the Data Science team at Stanford Health Care, presents below. The Impact Award recognizes the work of the team to deliver low-latency, comprehensive access to patient data from complex electronic health record (EHR) systems. This foundation has been essential to enabling the ChatEHR platform.\n\nContribution by Nikesh Kotecha\n\nThe integration of Large Language Models (LLMs) into health systems holds the promise of reducing administrative burden and cognitive overload for clinical teams. However, deploying such tools in clinical workflows requires a commitment to safety, governance, and continuous monitoring. Stanford Medicine's ChatEHR platform, an initiative developed as part of an enterprise investment in establishing a Data Science pillar, serves as an essential case study for any health system aiming for responsible AI adoption.\n\nSetting up a responsible clinical AI system requires focus on three key areas: a robust platform architecture, transparent governance, and continuous evaluation.\n\nA significant barrier to...",
    "summary": "Stanford Health Care receives award 2025 InterSystems Impact Award.",
    "category": "receives_award",
    "found_at": "2025-11-17T00:00:00Z",
    "planning": false,
    "image_url": "https://www.odbms.org/wp-content/uploads/2025/11/1516243424509.jpg",
    "confidence": 0.7363,
    "published_at": "2025-11-17T00:00:00Z",
    "article_sentence": "Stanford Health Care, part of Stanford Medicine, was awarded a 2025 InterSystems Impact Award for its AXIOM initiative for fast access to electronic health records."
  }
}

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