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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 3 of 3 Research Studies DisplayedFritz B, King C, Chen Y
Protocol for the perioperative outcome risk assessment with computer learning enhancement (Periop ORACLE) randomized study.
This paper describes a protocol for an ongoing study that hypothesizes that anesthesiology clinicians can predict postoperative complications more accurately with machine learning assistance than without machine learning assistance. This investigation is a sub-study nested within the TECTONICS randomized clinical trial. Study team members who are anesthesiology clinicians working in a telemedicine setting are currently reviewing ongoing surgical cases and documenting how likely they feel the patient is to experience 30-day in-hospital death or acute kidney injury. These case reviews will be randomized to be performed with access to a display showing machine learning predictions for the postoperative complications or without access to the display, and the accuracy of the predictions will be compared across these two groups.
AHRQ-funded; HS024581.
Citation: Fritz B, King C, Chen Y .
Protocol for the perioperative outcome risk assessment with computer learning enhancement (Periop ORACLE) randomized study.
F1000Res 2022; 11:653. doi: 10.12688/f1000research.122286.2..
Keywords: Surgery, Risk, Outcomes, Health Information Technology (HIT)
Hannan EL, Barrett SC, Samadashvili Z
Retooling of paper-based outcome measures to electronic format: comparison of the NY State public risk model and EHR-derived risk models for CABG mortality.
This study assessed the feasibility of retooling the paper-based New York State coronary artery bypass graft (CABG) surgery statistical model for mortality and readmission into a model for electronic health records (EHRs). Researchers found that only 6 data elements could be extracted from the EHR, and outlier hospitals differed for readmission but was usable for mortality. They concluded that the EHR model was inferior to the NYS model, and that simplifying the EHR risk model couldn’t capture most of the risk factors in the NYS model.
AHRQ-funded; HS022647.
Citation: Hannan EL, Barrett SC, Samadashvili Z .
Retooling of paper-based outcome measures to electronic format: comparison of the NY State public risk model and EHR-derived risk models for CABG mortality.
Med Care 2019 May;57(5):377-84. doi: 10.1097/mlr.0000000000001104..
Keywords: Surgery, Electronic Health Records (EHRs), Health Information Technology (HIT), Mortality, Outcomes, Risk, Cardiovascular Conditions
Flory JH, Keating SJ, Siscovick D
Identifying prevalence and risk factors for metformin non-persistence: a retrospective cohort study using an electronic health record.
Non-persistence may be a significant barrier to the use of metformin. The objective of this study was to assess reasons for metformin non-persistence, and whether initial metformin dosing or use of extended release (ER) formulations affect persistence to metformin therapy. The investigators concluded that their data supported the routine prescribing of low starting doses of metformin as a tool to improve persistence.
AHRQ-funded; HS023898.
Citation: Flory JH, Keating SJ, Siscovick D .
Identifying prevalence and risk factors for metformin non-persistence: a retrospective cohort study using an electronic health record.
BMJ Open 2018 Jul 23;8(7):e021505. doi: 10.1136/bmjopen-2018-021505..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Patient Adherence/Compliance, Outcomes, Patient-Centered Outcomes Research, Risk