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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedKang D, Charlton P, Applebury DE
Utilizing eye tracking to assess electronic health record use by pharmacists in the intensive care unit.
The authors conducted a study using high-fidelity electronic health record (EHR)-based simulations with incorporated eye tracking to understand the workflow of critical care pharmacists within the EHR, with specific attention to the data elements most frequently viewed. They found that, in addition to medication information, laboratory data and clinical notes are key focuses of intensive care unit pharmacist review of patient records and that navigation to multiple screens is required in order to view these data with the EHR.
AHRQ-funded; HS023793.
Citation: Kang D, Charlton P, Applebury DE .
Utilizing eye tracking to assess electronic health record use by pharmacists in the intensive care unit.
Am J Health Syst Pharm 2022 Nov 7;79(22):2018-25. doi: 10.1093/ajhp/zxac158..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Intensive Care Unit (ICU), Critical Care, Provider: Pharmacist
Rowan CG, Flory J, Gerhard T
Agreement and validity of electronic health record prescribing data relative to pharmacy claims data: a validation study from a US electronic health record database.
The researchers conducted a retrospective cohort study among patients with linked claims and EHR data in OptumLabs Data Warehouse. Their aim was to evaluate the validity of classifying medication exposure using EHR prescribing (EHR-Rx) data. They concluded that, despite substantial variability among different medications, there was very good agreement between EHR-Rx data and PC-Rx data.
AHRQ-funded; HS023898.
Citation: Rowan CG, Flory J, Gerhard T .
Agreement and validity of electronic health record prescribing data relative to pharmacy claims data: a validation study from a US electronic health record database.
Pharmacoepidemiol Drug Saf 2017 Aug;26(8):963-72. doi: 10.1002/pds.4234.
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Keywords: Data, Electronic Health Records (EHRs), Medication, Provider: Pharmacist