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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 DisplayedJoshi RP, Pejaver V, Hammarlund NE
A predictive tool for identification of SARS-CoV-2 PCR-negative emergency department patients using routine test results.
This retrospective case-control study investigated whether the use of a prediction tool based on complete blood count results and patient sex can better allocate testing for SARS-CoV-2 PCR testing in hospital emergency departments. Participants were emergency department patients who had concurrent complete blood counts and SARS-CoV-2 PCR testing in Northern California, Seattle, Washington, Chicago Illinois, and South Korea. A hypothetical scenario of 1000 patients requiring testing was developed, but in this scenario testing resources are limited to 60% of patients. This tool would allow a 33% increase in properly allocated resources.
AHRQ-funded; HS026385.
Citation: Joshi RP, Pejaver V, Hammarlund NE .
A predictive tool for identification of SARS-CoV-2 PCR-negative emergency department patients using routine test results.
J Clin Virol 2020 Aug;129:104502. doi: 10.1016/j.jcv.2020.104502..
Keywords: Emergency Department, COVID-19, Pneumonia, Respiratory Conditions, Diagnostic Safety and Quality, Clinical Decision Support (CDS)
Carayon P, Hoonakker P, Hundt AS
Application of human factors to improve usability of clinical decision support for diagnostic decision-making: a scenario-based simulation study.
This study used a scenario-based simulation to compare a human factor (HF)-based clinician decision support (CDS) with a web-based CDS (MDCalc) for clinicians to diagnose pulmonary embolism (PE) in the emergency department. A total of 32 emergency physicians participated using both CDS types. Emergency physicians made more appropriate diagnoses decisions with the PE-Dx CDS (94%) than with the web-based CDS (84%). Experimental tasks were also performed faster (average 96 seconds per scenario versus 117 seconds). They also reported lower workload and higher satisfaction with the HF-based CDS.
AHRQ-funded; HS024342; HS024558; HS022086.
Citation: Carayon P, Hoonakker P, Hundt AS .
Application of human factors to improve usability of clinical decision support for diagnostic decision-making: a scenario-based simulation study.
BMJ Qual Saf 2020 Apr;29(4):329-40. doi: 10.1136/bmjqs-2019-009857..
Keywords: Clinical Decision Support (CDS), Decision Making, Health Information Technology (HIT), Diagnostic Safety and Quality, Emergency Department