{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=Computer+Decision+Support+Tool+Intervention+Group",
    "query": {
      "intervention": "Computer Decision Support Tool Intervention Group"
    },
    "page_size": 10
  },
  "pagination": {
    "page": 1,
    "page_size": 10,
    "total_count": 5,
    "total_pages": 1,
    "next_page_url": null,
    "previous_page_url": null
  },
  "source": "remote",
  "last_synced_at": "2026-09-03T15:52:12.562Z",
  "attribution": "Data derived from public ClinicalTrials.gov records. The official record at https://clinicaltrials.gov/ remains the source of truth for current availability, contacts, and full study details.",
  "notes": [
    "This endpoint exposes only public summary fields — no participant contact emails, phone numbers, or scraped investigator contact details.",
    "For contact information and full protocol detail, follow each trial's `official_url` to the ClinicalTrials.gov record.",
    "This API is a navigational aid. It does not provide medical advice, eligibility determinations, or compensation guarantees."
  ],
  "trials": [
    {
      "nct_id": "NCT04911270",
      "title": "Clinical Decision Support Tool for Vancomycin Dosing in Children",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Gram-Positive Bacterial Infections",
        "Vancomycin",
        "Pharmacokinetics",
        "Pharmacodynamics"
      ],
      "interventions": [
        {
          "name": "Computer Decision Support Tool Intervention Group",
          "type": "DEVICE"
        },
        {
          "name": "Matched Historical Controls",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "DEVICE",
        "OTHER"
      ],
      "sponsor": "University of Maryland, Baltimore",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": null,
        "maximum_age": "18 Years",
        "sex": "ALL",
        "summary": "Up to 18 Years"
      },
      "enrollment_count": 75,
      "start_date": "2022-05-09",
      "completion_date": "2025-05-10",
      "has_results": false,
      "last_update_posted_date": "2025-05-14",
      "last_synced_at": "2026-09-03T15:52:12.562Z",
      "location_count": 1,
      "location_summary": "Baltimore, Maryland",
      "locations": [
        {
          "city": "Baltimore",
          "state": "Maryland"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04911270"
    },
    {
      "nct_id": "NCT05503771",
      "title": "Improving Pediatrician Counseling About Infant Safe Sleep Using the Electronic Medical Record",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Sudden Infant Death",
        "Sudden Unexplained Infant Death"
      ],
      "interventions": [
        {
          "name": "ISA-MI",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Standard of Care (SOC)",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL",
        "OTHER"
      ],
      "sponsor": "Johns Hopkins University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "3 Days",
        "maximum_age": "75 Years",
        "sex": "ALL",
        "summary": "3 Days to 75 Years"
      },
      "enrollment_count": 350,
      "start_date": "2022-09-30",
      "completion_date": "2027-02-28",
      "has_results": false,
      "last_update_posted_date": "2026-07-21",
      "last_synced_at": "2026-09-03T15:52:12.562Z",
      "location_count": 1,
      "location_summary": "Baltimore, Maryland",
      "locations": [
        {
          "city": "Baltimore",
          "state": "Maryland"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05503771"
    },
    {
      "nct_id": "NCT04600700",
      "title": "Use of a Predictive Analytics Algorithm to Optimize Weaning of Inotropes Following Pediatric Cardiac Surgery",
      "overall_status": "UNKNOWN",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Congenital Heart Disease"
      ],
      "interventions": [
        {
          "name": "Clinical Decision support system (CDSS) for inotrope weaning",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Boston Children's Hospital",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "1 Day",
        "maximum_age": "365 Days",
        "sex": "ALL",
        "summary": "1 Day to 365 Days"
      },
      "enrollment_count": 250,
      "start_date": "2021-07-01",
      "completion_date": "2023-03-01",
      "has_results": false,
      "last_update_posted_date": "2021-10-08",
      "last_synced_at": "2026-09-03T15:52:12.562Z",
      "location_count": 1,
      "location_summary": "Boston, Massachusetts",
      "locations": [
        {
          "city": "Boston",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04600700"
    },
    {
      "nct_id": "NCT03078491",
      "title": "Technological Advances in Glucose Management in Older Adults",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Type 1 Diabetes Mellitus",
        "Older Adults",
        "Hypoglycemia"
      ],
      "interventions": [
        {
          "name": "eCGM (enhanced CGM)",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Joslin Diabetes Center",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "65 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "65 Years and older"
      },
      "enrollment_count": 168,
      "start_date": "2017-03-30",
      "completion_date": "2022-10-01",
      "has_results": false,
      "last_update_posted_date": "2026-05-12",
      "last_synced_at": "2026-09-03T15:52:12.562Z",
      "location_count": 1,
      "location_summary": "Boston, Massachusetts",
      "locations": [
        {
          "city": "Boston",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT03078491"
    },
    {
      "nct_id": "NCT01814787",
      "title": "Computer Automation for Diagnosis and Management of Childhood Type 2 Diabetes",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Type 2 Diabetes"
      ],
      "interventions": [
        {
          "name": "CHICA Type 2 Diabetes Module",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Indiana University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "10 Years",
        "maximum_age": "18 Years",
        "sex": "ALL",
        "summary": "10 Years to 18 Years"
      },
      "enrollment_count": 1369,
      "start_date": "2013-10",
      "completion_date": "2016-12",
      "has_results": true,
      "last_update_posted_date": "2017-05-15",
      "last_synced_at": "2026-09-03T15:52:12.562Z",
      "location_count": 1,
      "location_summary": "Indianapolis, Indiana",
      "locations": [
        {
          "city": "Indianapolis",
          "state": "Indiana"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT01814787"
    }
  ]
}