biostudies-literatureRabbani NNIA NIH HHSNIAID NIH HHSNLM NIH HHS70-77https://www.ebi.ac.uk/biostudies/studies/S-EPMC9936847biostudies-literatureUnknown113<h4>Introduction</h4>Unnecessary laboratory testing contributes to patient morbidity and healthcare waste. Despite prior attempts at curbing such overutilization, there remains opportunity for improvement using novel data-driven approaches. This study presents the development and early evaluation of a clinical decision support tool that uses a predictive model to help providers reduce low-yield, repetitive laboratory testing in hospitalized patients.<h4>Methods</h4>We developed an EHR-embedded SMART on FHIR application that utilizes a laboratory test result prediction model based on historical laboratory data. A combination of semi-structured physician interviews, usability testing, and quantitative analysis on retrospective laboratory data were used to inform the tool's development and evClinical biochemistryTargeting repetitive laboratory testing with electronic health records-embedded predictive decision support: A pre-implementation study.PMC9936847R01 AI178121P30 AG059307R56 LM013365P30 AG066515Ma SPWinget MSvec DShieh LWeber SLi RCChen JHBoosi SRabbani NPham TDfalseTargeting repetitive laboratory testing with electronic health records-embedded predictive decision support: A pre-implementation study.<h4>Introduction</h4>Unnecessary laboratory testing contributes to patient morbidity and healthcare waste. Despite prior attempts at curbing such overutilization, there remains opportunity for improvement using novel data-driven approaches. This study presents the development and early evaluation of a clinical decision support tool that uses a predictive model to help providers reduce low-yield, repetitive laboratory testing in hospitalized patients.<h4>Methods</h4>We developed an EHR-embedded SMART on FHIR application that utilizes a laboratory test result prediction model based on historical laboratory data. A combination of semi-structured physician interviews, usability testing, and quantitative analysis on retrospective laboratory data were used to inform the tool's development and ev2023-01-01T00:00:00Z2023 Mar2025-04-03T23:50:15.203Z2025-04-03T23:50:15.203ZS-EPMC99368473662375910.1016/j.clinbiochem.2023.01.002