Development of an algorithm to link electronic health record prescriptions with pharmacy dispense claims | Zendy

Megan Hoopes | Zendy; Heather Angier | Zendy; Lewis A. Raynor | Zendy; Andrew Suchocki | Zendy; John Muench | Zendy; Miguel Marino | Zendy; Pedro Rivera | Zendy; Nathalie Huguet | Zendy

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Development of an algorithm to link electronic health record prescriptions with pharmacy dispense claims

Author(s) -

Megan Hoopes,

Heather Angier,

Lewis A. Raynor,

Andrew Suchocki,

John Muench,

Miguel Marino,

Pedro Rivera,

Nathalie Huguet

Publication year - 2018

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocy095

Subject(s) - medicine , medical prescription , pharmacy , odds ratio , family medicine , terminology , electronic health record , electronic prescribing , diabetes mellitus , odds , population , health care , medical record , comorbidity , prescription drug , community pharmacy , medline , logistic regression , nursing , linguistics , philosophy , environmental health , endocrinology , political science , law , economics , economic growth

Medication adherence is an important aspect of chronic disease management. Electronic health record (EHR) data are often not linked to dispensing data, limiting clinicians' understanding of which of their patients fill their medications, and how to tailor care appropriately. We aimed to develop an algorithm to link EHR prescribing to claims-based dispensing data and use the results to quantify how often patients with diabetes filled prescribed chronic disease medications.

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