Practice Transformation Analytics Dashboard for Clinician Engagement
JournalAnnals of family medicine
PublisherAnnals of Family Medicine, Inc.
MetadataShow full item record
AbstractPURPOSE: Practice transformation in primary care is a movement toward data-driven redesign of care, patient-centered care delivery, and practitioner activation. A critical requirement for achieving practice transformation is availability of tools to engage practices. METHODS: A total of 48 practices with 109 practice sites participate in the Garden Practice Transformation Network in Maryland (GPTN-Maryland) to work together toward practice transformation and readiness for the Quality Payment Program implemented by the Centers for Medicare & Medicaid Services. Practice-specific data are collected in GPTN-Maryland by practices themselves and by practice transformation coaches, and are provided by the Centers for Medicare & Medicaid Services. These data are overwhelming to practices when presented piecemeal or together, a barrier to practices taking action to ensure progress on the transformation spectrum. The GPTN-Maryland team therefore created a practice transformation analytics dashboard as a tool to present data that are actionable in care redesign. RESULTS: When practices reviewed their data provided by the Centers for Medicare & Medicaid Services using the dashboard, they were often seeing, for the first time, cost data on their patients, trends in their key performance indicator data, and their practice transformation phase. Overall, 72% of practices found the dashboard engaging, and 48% found the data as presented to be actionable. CONCLUSIONS: The practice transformation analytics dashboard encourages practices to advance in practice transformation and improvement of patient care delivery. This tool engaged practices in discussions about data, care redesign, and costs of care, and about how to develop sustainable change within their practices. Research is needed to study the impact of the dashboard on costs and quality of care delivery.
SponsorsThis project was supported by subcontract number NJII 380G15 and funding opportunity number CMS-1L1-15-003 from the US Department of Health & Human Services (HHS), Centers for Medicare & Medicaid Services.
Keywordanalytics data dashboard
health information technology
quality indicators, health care
Identifier to cite or link to this itemhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85072145292&doi=10.1370%2fafm.2382&partnerID=40&md5=ac3da1cdee19f5b69c7934a754143eb9; http://hdl.handle.net/10713/11011
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