{
  "abstract": "Background: Accountable care organizations operating across multiple electronic medical record (EMR) systems face fragmented quality reporting that limits transparency and shared accountability.\n\nProject Rationale: Inconsistent measure definitions, nonstandard reporting formats, and resource-intensive reconciliation across EMR platforms prevented reliable performance comparison and delayed identification of care gaps.\n\nProject Summary: A multidisciplinary team developed and implemented a simplified aggregation framework to extract, normalize, attribute, aggregate, validate, and distribute quality data across multiple EMRs. Three accountable care organization measures were tracked during the 2025 calendar year. Blood pressure control improved from 67% to 70%, depression screening from 55% to 68%, and breast cancer screening from 45% to 50%. An interactive dashboard replaced fragmented reports, shifting quality conversations toward actionable improvement.\n\nTake-Home Messages: Standardized, simplified aggregation enables scalable multi-EMR quality reporting. Observed improvements require cautious interpretation, and further evaluation of causality is warranted.",
  "abstract_shown": true,
  "affiliations": [
    "Metrics and Performance Management, Northwell Health, Manhasset, New York, USA"
  ],
  "article_type": "case report",
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Ramsey Abdallah"
    },
    {
      "affs": [
        0
      ],
      "name": "Aman Rastogi"
    },
    {
      "affs": [
        0
      ],
      "name": "John Perweiler"
    },
    {
      "affs": [
        0
      ],
      "name": "Jared Eisenberg"
    },
    {
      "affs": [
        0
      ],
      "name": "Tiffany Jagrooph"
    },
    {
      "affs": [
        0
      ],
      "name": "Alaine Rizzuto"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9y438hbd8rs7d.bib",
  "cited_by": 0,
  "doi": "10.1016/j.jaccas.2026.109521",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13728406/",
  "id": "9y438hbd8rs7d",
  "issns": [
    "2666-0849"
  ],
  "landing_url": "https://doi.org/10.1016/j.jaccas.2026.109521",
  "language": "en",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Hypertension"
    ],
    [
      "heading",
      "Quality Improvement Projects"
    ],
    [
      "openalex",
      "3605|Electronic Health Records Systems"
    ]
  ],
  "openalex": "W7213434736",
  "pdf_url": null,
  "pmcid": "PMC13728406",
  "pmid": "42752007",
  "published": "2026-09-16",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/9y438hbd8rs7d.ris",
  "sources": [
    {
      "first_seen": "2026-11-07T12:21:24Z",
      "native_id": "PMC13728406",
      "source": "pmc",
      "url": "https://doi.org/10.1016/j.jaccas.2026.109521"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "journal-openalex:2705|Cardiac Valve Diseases and Treatments",
      "subfield": "cardiovascular"
    }
  ],
  "title": "Multi-EMR Quality Aggregation to Drive Accountable Care Organization Performance",
  "title_text": "Multi-EMR Quality Aggregation to Drive Accountable Care Organization Performance",
  "type": "peer-reviewed",
  "updated_at": "2026-11-07T12:21:24Z",
  "url": "https://research.draconitic.com/paper/9y438hbd8rs7d",
  "venue": "JACC Case Reports",
  "versions": []
}