Cardinal Health was granted a patent for a medical decision-support platform.

{
  "signal_id": "17c19460-e83e-59cf-b55b-4172ac1b8397",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-15T00:50:11+00:00",
  "company": {
    "name": "Cardinal Health",
    "domain": "cardinalhealth.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G16H 40/67",
        "label": "Healthcare informatics (ICT for medical/healthcare data)"
      },
      {
        "code": "G16H 10/60",
        "label": "Healthcare informatics (ICT for medical/healthcare data)"
      },
      {
        "code": "G16H 50/20",
        "label": "Healthcare informatics (ICT for medical/healthcare data)"
      },
      {
        "code": "G16H 50/30",
        "label": "Healthcare informatics (ICT for medical/healthcare data)"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Healthcare Technology",
      "Enterprise Software"
    ],
    "detail": "In August 2026 Cardinal Health patented a platform that helps clinicians apply patient-specific care guidelines while reviewing electronic medical records in healthcare settings.",
    "summary": "Cardinal Health was granted a patent for a medical decision-support platform.",
    "event_at": "2026-08-18",
    "inventors": [
      {
        "name": "Tanya Park",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/tanya-park"
      },
      {
        "name": "Sandeep Gulati",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Graham Burks",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Pravin Rane",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/pravin-rane-79776970"
      },
      {
        "name": "Steven Jensen",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Amy Valley",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/amy-valley"
      }
    ],
    "tech_area": "health tech / medical informatics",
    "event_kind": "grant_date",
    "grant_date": "2026-08-18",
    "source_url": "https://patents.google.com/patent/US12712076",
    "cpc_primary": {
      "code": "G16H 40/67",
      "label": "Healthcare informatics (ICT for medical/healthcare data)"
    },
    "patent_title": "Decision support platform",
    "patent_number": "US12712076",
    "uspto_assignee": "Cardinal Health Commercial Technologies, LLC",
    "patent_abstract": "A medical decision system is implemented as a computer platform that extracts electronic medical record information associated with a patient receiving medical care. The platform also outputs a graphical user interface that facilitates navigation by a user, of an electronic guideline selected based upon an identification of the patient receiving medical care or selected information from the extracted electronic medical record information. Moreover, the platform stores a value for a tuning parameter that affects clinical decision making. Also, the platform generates a customized, clinical pathway for the patient receiving medical care using the value of the tuning parameter, where the generated clinical pathway recommends a future clinical service for the patient receiving medical care, and the clinical pathway is reconciled with actual costs of care extracted from electronically retrieved cost information. Yet further, the platform outputs to a first display screen, the generated clinical pathway.",
    "precision_class": "structural",
    "invention_explanation": "Software that pulls relevant patient-record details, selects an appropriate medical guideline, and displays it in an adjustable interface to support care decisions.",
    "technologies_mentioned": [
      "clinical decision support",
      "electronic medical records",
      "medical informatics",
      "healthcare software"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/17c19460-e83e-59cf-b55b-4172ac1b8397 \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"cardinalhealth.com","limit":20}'