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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 DisplayedJacobsohn GC, Leaf M, Liao F
Collaborative design and implementation of a clinical decision support system for automated fall-risk identification and referrals in emergency departments.
The authors used a collaborative and iterative approach to design and implement an automated clinical decision support system (CDS) for Emergency Department (ED) providers to identify and refer older adult ED patients at high risk of future falls. The system was developed using collaborative input from an interdisciplinary design team and integrated seamlessly into existing ED workflows. A key feature of development was the unique combination of patient experience strategies, human-centered design, and implementation science, which allowed for the CDS tool and intervention implementation strategies to be designed simultaneously. Challenges included: usability problems, data inaccessibility, time constraints, low appointment availability, high volume of patients, and others. The study concluded that using the collaborative, iterative approach was successful in achieving all project goals, and could be applied to other cases.
AHRQ-funded; HS024558.
Citation: Jacobsohn GC, Leaf M, Liao F .
Collaborative design and implementation of a clinical decision support system for automated fall-risk identification and referrals in emergency departments.
Healthc 2022 Mar;10(1):100598. doi: 10.1016/j.hjdsi.2021.100598..
Keywords: Elderly, Clinical Decision Support (CDS), Shared Decision Making, Falls, Risk, Emergency Department, Health Information Technology (HIT)
Zhang NJ, Rameau P, Julemis M
Automated pulmonary embolism risk assessment using the Wells criteria: validation study.
The authors sought to create an automated process to calculate the Wells score for pulmonary embolism for emergency department patients, which might reduce unnecessary computed tomography pulmonary angiography (CTPA) testing. They designed the process using electronic health records data elements, including free-text fields, and calculated Wells scores for a sample of adult emergency department visits that resulted in a CTPA study for pulmonary embolism at two tertiary care hospitals in New York. After validation, the authors concluded that the development of the automated process to classify risk for pulmonary embolism in emergency department visits was successful.
AHRQ-funded; HS026196.
Citation: Zhang NJ, Rameau P, Julemis M .
Automated pulmonary embolism risk assessment using the Wells criteria: validation study.
JMIR Form Res 2022 Feb 28;6(2):e32230. doi: 10.2196/32230.
Keywords: Blood Clots, Respiratory Conditions, Risk, Emergency Department