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OpenEvidencePatent grant

OpenEvidence was granted a patent for an AI medical question-answering system.

What happened

In August 2026 OpenEvidence patented a system for answering medical information queries, used through clinician-facing interfaces and digital healthcare tools.

Source

patents.google.comAug 11, 2026

US patent US12706188

Medical question answering system

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating answers to medical questions using neural networks and other components. In one aspect, a method includes: receiving, from a user and by way of a user interface presented to the user on a display of a user device, a query for medical information; generating multiple responses to the query from the user by automatically retrieving and parsing data from a corpus of documents; and presenting, by way of the user interface and on the display of the user device: a first user interface element that presents a first response generated based only on clinical practice guideline documents, and a second user interface element that presents a second response generated based at least in part on documents that are not clinical practice guideline documents.

patents.google.com/patent/US12706188Read the full source

Extracted by Autobound

From the Signal API record
Signal
Patent grant

What this signalsA new patent often shows where a company is putting its R&D budget.

Grant date
Aug 11, 2026
Inventors
4
Tech area
health tech / medical informatics
Patent number
US12706188

The full record

From the Signal API record

People

  • Daniel Joseph NadlerInventor
  • Zachary Michael ZieglerInventor
  • Jonas Sebastian WulffInventor
  • Evan Michael HernandezInventor
  • Eric LehmanInventor
  • Micah SmithInventor

Details

Primary CPC class
G16H 10/60 (Healthcare informatics (ICT for medical/healthcare data))
USPTO assignee
OpenEvidence Inc.
What the invention does
A system that retrieves and interprets medical documents, creates several possible answers with neural networks, and presents the results to someone asking a health question.

Topics and mentions

Tags

  • Intellectual Property
  • Research & Development
  • Artificial Intelligence
  • Healthcare Technology

Technologies named

  • medical informatics
  • neural networks
  • clinical question answering
  • information retrieval

Extraction

Detected
Sep 16, 2026
signal_type
patents-company
signal_subtype
patentGrant

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The API returns more than this page shows

This page shows a preview. The full patents-company 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/1572da50-9715-5daf-ae9f-9e819b0da9a9 returns this record as JSON. POST /v1/companies/enrich returns every signal for openevidence.com.

{
  "signal_id": "1572da50-9715-5daf-ae9f-9e819b0da9a9",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-16T04:20:29+00:00",
  "company": {
    "name": "OpenEvidence",
    "domain": "openevidence.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G16H 10/60",
        "label": "Healthcare informatics (ICT for medical/healthcare data)"
      },
      {
        "code": "G06N 3/0475",
        "label": "Computing arrangements based on specific computational models"
      },
      {
        "code": "G16H 70/20",
        "label": "Healthcare informatics (ICT for medical/healthcare data)"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Artificial Intelligence",
      "Healthcare Technology"
    ],
    "detail": "In August 2026 OpenEvidence patented a system for answering medical information queries, used through clinician-facing interfaces and digital healthcare tools.",
    "summary": "OpenEvidence was granted a patent for an AI medical question-answering system.",
    "event_at": "2026-08-11",
    "inventors": [
      {
        "name": "Daniel Joseph Nadler",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/danielnadler"
      },
      {
        "name": "Zachary Michael Ziegler",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Jonas Sebastian Wulff",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/jonas-wulff-2885352a"
      },
      {
        "name": "Evan Michael Hernandez",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Eric Lehman",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/eric-lehman-51b1419b"
      },
      {
        "name": "Micah Smith",
        "status": "unresolved",
        "is_primary": false
      }
    ],
    "tech_area": "health tech / medical informatics",
    "event_kind": "grant_date",
    "grant_date": "2026-08-11",
    "source_url": "https://patents.google.com/patent/US12706188",
    "cpc_primary": {
      "code": "G16H 10/60",
      "label": "Healthcare informatics (ICT for medical/healthcare data)"
    },
    "patent_title": "Medical question answering system",
    "patent_number": "US12706188",
    "uspto_assignee": "OpenEvidence Inc.",
    "patent_abstract": "Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating answers to medical questions using neural networks and other components. In one aspect, a method includes: receiving, from a user and by way of a user interface presented to the user on a display of a user device, a query for medical information; generating multiple responses to the query from the user by automatically retrieving and parsing data from a corpus of documents; and presenting, by way of the user interface and on the display of the user device: a first user interface element that presents a first response generated based only on clinical practice guideline documents, and a second user interface element that presents a second response generated based at least in part on documents that are not clinical practice guideline documents.",
    "precision_class": "structural",
    "invention_explanation": "A system that retrieves and interprets medical documents, creates several possible answers with neural networks, and presents the results to someone asking a health question.",
    "technologies_mentioned": [
      "medical informatics",
      "neural networks",
      "clinical question answering",
      "information retrieval"
    ]
  }
}

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