The PRIDx framework to engage payers in reducing diagnostic errors in healthcare
Objectives: No framework currently exists to guide how payers and providers can collaboratively develop and implement incentives to improve diagnostic safety. We conducted a literature review and interviews with subject matter experts to develop a multi-component ‘Payer Relationships for Improving Diagnoses (PRIDx)’ framework, that could be used to engage payers in diagnostic safety efforts. Content: The PRIDx framework, 1) conceptualizes diagnostic safety links to care provision, 2) illustrates ways to promote payer and provider engagement in the design and adoption of accountability mechanisms, and 3) explicates the use of data analytics. Certain approaches suggested by PRIDx were refined by subject matter expert interviewee perspectives. Summary: The PRIDx framework can catalyze public and private payers to take specific actions to improve diagnostic safety. Outlook: Implementation of the PRIDx framework requires new types of partnerships, including external support from public and private payer organizations, and requires creation of strong provider incentives without undermining providers’ sense of professionalism and autonomy. PRIDx could help facilitate collaborative payer-provider approaches to improve diagnostic safety and generate research concepts, policy ideas, and potential innovations for engaging payers in diagnostic safety improvement activities.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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The PRIDx framework to engage payers in reducing diagnostic errors in healthcare ; volume:11 ; number:1 ; year:2023 ; pages:17-24 ; extent:08
Diagnosis ; 11, Heft 1 (2023), 17-24 (gesamt 08)
- Creator
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Ali, Kisha J.
Goeschel, Christine A.
DeLia, Derek M.
Blackall, Leah M.
Singh, Hardeep
- DOI
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10.1515/dx-2023-0042
- URN
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urn:nbn:de:101:1-2024021913050218657935
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:53 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ali, Kisha J.
- Goeschel, Christine A.
- DeLia, Derek M.
- Blackall, Leah M.
- Singh, Hardeep
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