Multi-EMR Quality Aggregation to Drive Accountable Care Organization Performance
- 1Metrics and Performance Management, Northwell Health, Manhasset, New York, USA
Abstract
Background: Accountable care organizations operating across multiple electronic medical record (EMR) systems face fragmented quality reporting that limits transparency and shared accountability.
Project Rationale: Inconsistent measure definitions, nonstandard reporting formats, and resource-intensive reconciliation across EMR platforms prevented reliable performance comparison and delayed identification of care gaps.
Project 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.
Take-Home Messages: Standardized, simplified aggregation enables scalable multi-EMR quality reporting. Observed improvements require cautious interpretation, and further evaluation of causality is warranted.
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BibTeX
@article{abdallah2026multiemr,
title = {{Multi-EMR Quality Aggregation to Drive Accountable Care Organization Performance}},
author = {Ramsey Abdallah and Aman Rastogi and John Perweiler and Jared Eisenberg and Tiffany Jagrooph and Alaine Rizzuto},
journal = {JACC Case Reports},
year = {2026},
month = sep,
doi = {10.1016/j.jaccas.2026.109521},
url = {https://doi.org/10.1016/j.jaccas.2026.109521},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Multi-EMR Quality Aggregation to Drive Accountable Care Organization Performance
AU - Ramsey Abdallah
AU - Aman Rastogi
AU - John Perweiler
AU - Jared Eisenberg
AU - Tiffany Jagrooph
AU - Alaine Rizzuto
PY - 2026
DA - 2026/09/16
JO - JACC Case Reports
DO - 10.1016/j.jaccas.2026.109521
UR - https://doi.org/10.1016/j.jaccas.2026.109521
AB - Background: Accountable care organizations operating across multiple electronic medical record (EMR) systems face fragmented quality reporting that limits transparency and shared accountability. Project Rationale: Inconsistent measure definitions, nonstandard reporting formats, and resource-intensive reconciliation across EMR platforms prevented reliable performance comparison and delayed identification of care gaps. Project 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. Take-Home Messages: Standardized, simplified aggregation enables scalable multi-EMR quality reporting. Observed improvements require cautious interpretation, and further evaluation of causality is warranted.
SN - 2666-0849
ER -