Literature DB >> 30526246

Use of electronic health record data from diverse primary care practices to identify and characterize patients' prescribed common medications.

Allison M Cole, Kari A Stephens, Imara West, Gina A Keppel1, Ken Thummel2, Laura-Mae Baldwin1.   

Abstract

We use prescription of statin medications and prescription of warfarin to explore the capacity of electronic health record data to (1) describe cohorts of patients prescribed these medications and (2) identify cohorts of patients with evidence of adverse events related to prescription of these medications. This study was conducted in the WWAMI region Practice and Research Network (WPRN)., a network of primary care practices across Washington, Wyoming, Alaska, Montana and Idaho DataQUEST, an electronic data-sharing infrastructure. We used electronic health record data to describe cohorts of patients prescribed statin or warfarin medications and reported the proportions of patients with adverse events. Among the 35,445 active patients, 1745 received at least one statin prescription and 301 received at least one warfarin prescription. Only 3 percent of statin patients had evidence of myopathy; 51 patients (17% of those prescribed warfarin) had a bleeding complication. Primary-care electronic health record data can effectively be used to identify patients prescribed specific medications and patients potentially experiencing medication adverse events.

Entities:  

Keywords:  adverse drug events; electronic health records; primary care

Mesh:

Year:  2018        PMID: 30526246      PMCID: PMC6557686          DOI: 10.1177/1460458218813640

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  31 in total

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Review 8.  Electronic health records: new opportunities for clinical research.

Authors:  P Coorevits; M Sundgren; G O Klein; A Bahr; B Claerhout; C Daniel; M Dugas; D Dupont; A Schmidt; P Singleton; G De Moor; D Kalra
Journal:  J Intern Med       Date:  2013-10-18       Impact factor: 8.989

Review 9.  Big data analytics in healthcare: promise and potential.

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10.  Development and use of active clinical decision support for preemptive pharmacogenomics.

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Journal:  J Am Med Inform Assoc       Date:  2013-08-26       Impact factor: 4.497

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