National Healthcare Quality and Disparities Report
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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.
Results
1 to 2 of 2 Research Studies DisplayedWang SV, Rogers JR, Jin Y
Use of electronic healthcare records to identify complex patients with atrial fibrillation for targeted intervention.
The researchers tested algorithms for identifying atrial fibrillation (AF) patients who also have known risk factors for stroke and major bleeding using electronic healthcare records (EHRs) data. The performance of candidate algorithms in 1000 bootstrap resamples was compared to a gold standard of manual chart review by experienced resident physicians of 480 patient charts. For 11 conditions, the median positive predictive value of the EHR-derived algorithms was greater than 0.90.
AHRQ-funded; HS022193.
Citation: Wang SV, Rogers JR, Jin Y .
Use of electronic healthcare records to identify complex patients with atrial fibrillation for targeted intervention.
J Am Med Inform Assoc 2017 Mar 1;24(2):339-44. doi: 10.1093/jamia/ocw082.
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Keywords: Heart Disease and Health, Cardiovascular Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT), Risk
Hess R, Fischer GS, Sullivan SM
Patterns of response to patient-centered decision support through a personal health record.
The investigators evaluated patients' patterns of responses to notifications regarding guideline-recommended services delivered through a personalized health record (PHR). They found that approximately 61% of participants accessed the PHR or received the care that triggered the message after the first message and 73% after the first two messages. They concluded that, in this low-intensity intervention, participants accessed the PHR and received recommended care.
AHRQ-funded; HS018167.
Citation: Hess R, Fischer GS, Sullivan SM .
Patterns of response to patient-centered decision support through a personal health record.
Telemed J E Health 2014 Nov;20(11):984-9. doi: 10.1089/tmj.2013.0332.
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Keywords: Cardiovascular Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient-Centered Healthcare, Clinician-Patient Communication