An informatics approach to medication adherence assessment and improvement using clinical, billing, and patient-entered data

Brian Dixon, Abdulrahman M. Jabour, Erin O Kelly Phillips, David Marrero

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

The aim of this study was to describe an integrated informatics approach to aggregating and displaying clinically relevant data that can identify problems with medication adherence and facilitate patient-provider communication about strategies to improve medication use. We developed a clinical dashboard within an electronic health record (EHR) system that uses data from three sources: the medical record, pharmacy claims, and a personal health record. The data are integrated to inform clinician-patient discussions about medication adherence. Whereas prior research on assessing patterns of medication adherence focused on a single approach using the EHR, pharmacy data, or patient-entered data, we present an approach that integrates multiple electronic data sources increasingly found in practice. Medication adherence is a complex challenge that requires patient and provider team input, necessitating an integrated approach using advanced EHR, clinical decision support, and patient-controlled technologies. Future research should focus on integrated strategies to provide patients and providers with the right combination of informatics tools to help them adequately address the challenge of adherence to complex medication therapies.

Original languageEnglish
Pages (from-to)517-521
Number of pages5
JournalJournal of the American Medical Informatics Association
Volume21
Issue number3
DOIs
StatePublished - 2014

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Informatics
Medication Adherence
Electronic Health Records
Information Storage and Retrieval
Clinical Decision Support Systems
Personal Health Records
Medical Records
Communication
Technology
Research

ASJC Scopus subject areas

  • Health Informatics
  • Medicine(all)

Cite this

An informatics approach to medication adherence assessment and improvement using clinical, billing, and patient-entered data. / Dixon, Brian; Jabour, Abdulrahman M.; Phillips, Erin O Kelly; Marrero, David.

In: Journal of the American Medical Informatics Association, Vol. 21, No. 3, 2014, p. 517-521.

Research output: Contribution to journalArticle

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