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Automated pulmonary embolism risk assessment using the Wells criteria: Validation study.

Citation
Zhang NJ, Rameau P, Julemis M, Liu Y, Solomon J, Khan S, McGinn T, Richardson S. Automated pulmonary embolism risk assessment using the Wells criteria: Validation study. JMIR Form Res. 2022 Feb 28;6(2):e32230. doi: 10.2196/32230. PMID: 35225812; PMCID: PMC8922138.
Principal Investigator
Spyropoulos, Alex
McGinn, Thomas G.
Project Name
Implementation of a Novel Multi-Platform Evidence-Based Clinical Decision Support System

Drug reaction with eosinophilia and systemic symptoms in patients hospitalized with COVID-19: A case series from a large US healthcare system.

Citation
Cucka B, Biglione B, Zhou L, Phillips EJ, Bassir F, Samarakoon U, Rrapi R, Chand S, Wang L, Alvarez-Arango S, Blumenthal KG, Kroshinsky D. Drug reaction with eosinophilia and systemic symptoms in patients hospitalized with COVID-19: A case series from a large US healthcare system. Br J Dermatol. 2022 Oct;187(4):619-622. doi: 10.1111/bjd.21706. Epub 2022 Jul 12. PMID: 35700153; PMCID: PMC9350236.
Principal Investigator
Zhou, Li
Project Name
Improving Allergy Documentation and Clinical Decision Support in the Electronic Health Record

Identifying and reconciling patients' allergy information within the electronic health record.

Citation
Vallamkonda S, Ortega CA, Lo YC, Blackley SV, Wang L, Seger DL, Blumenthal KG, Plasek JM, Goss F, Zhou L. Identifying and reconciling patients' allergy information within the electronic health record. Stud Health Technol Inform. 2022 Jun 6;290:120-124. doi: 10.3233/SHTI220044. PMID: 35672983.
Principal Investigator
Zhou, Li
Project Name
Improving Allergy Documentation and Clinical Decision Support in the Electronic Health Record

Clinician responses to a clinical decision support advisory for high risk of torsades de pointes.

Citation
Gallo T, Heise CW, Woosley RL, Tisdale JE, Tan MS, Gephart SM, Antonescu CC, Malone DC. Clinician responses to a clinical decision support advisory for high risk of torsades de pointes. J Am Heart Assoc. 2022 Jun 7;11(11):e024338. doi: 10.1161/JAHA.122.024338. Epub 2022 Jun 3. PMID: 35656987 DOI: 10.1161/JAHA.122.024338
Principal Investigator
Malone, Daniel C.
Project Name
Dissemination and Implementation of QT Risk Clinical Decision Support

Treatment and follow-up care associated with patient-scheduled primary care telemedicine and in-person visits in a large integrated health system.

Citation
Reed M, Huang J, Graetz I, Muelly E, Millman A, Lee C. Treatment and follow-up care associated with patient-scheduled primary care telemedicine and in-person visits in a large integrated health system. JAMA Netw Open. 2021 Nov 1;4(11):e2132793. doi: 10.1001/jamanetworkopen.2021.32793. PMID: 34783828; PMCID: PMC8596201.
Principal Investigator
Reed, Mary
Project Name
Patient Choice of Telemedicine Encounters

Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning Health Systems - Final Report

Citation
Devine E. Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning Health Systems - Final Report. (Prepared by the University of Washington under Grant No. R21 HS026544). Rockville, MD: Agency for Healthcare Research and Quality, 2022.
Principal Investigator
Devine, Emily B.
Project Name
Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning Health Systems

Early identification of epilepsy surgery candidates: A multicenter, machine learning study.

Citation
Wissel BD, Greiner HM, Glauser TA, Pestian JP, Kemme AJ, Santel D, Ficker DM, Mangano FT, Szczesniak RD, Dexheimer JW. Early identification of epilepsy surgery candidates: A multicenter, machine learning study. Acta Neurol Scand. 2021 Jul;144(1):41-50. doi: 10.1111/ane.13418. Epub 2021 Mar 26. PMID: 33769560; PMCID: PMC8178229.
Principal Investigator
Dexheimer, Judith W.
Project Name
Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients

Use of machine learning to develop and evaluate models using preoperative and intraoperative data to identify risks of postoperative complications.

Citation
Xue B, Li D, Lu C, King CR, Wildes T, Avidan MS, Kannampallil T, Abraham J. Use of machine learning to develop and evaluate models using preoperative and intraoperative data to identify risks of postoperative complications. JAMA Netw Open. 2021 Mar 1;4(3):e212240. doi: 10.1001/jamanetworkopen.2021.2240. PMID: 33783520; PMCID: PMC8010590.
Principal Investigator
Avidan, Michael
Project Name
Anesthesiology Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST)

Identifying health information technology usability issues contributing to medication errors across medication process stages.

Citation
Adams KT, Pruitt Z, Kazi S, Hettinger AZ, Howe JL, Fong A, Ratwani RM. Identifying health information technology usability issues contributing to medication errors across medication process stages. J Patient Saf. 2021 Dec 1;17(8):e988-e994. doi: 10.1097/PTS.0000000000000868. PMID: 34009868.
Principal Investigator
Ratwani, Raj M.
Project Name
Improving Patient Safety and Clinician Cognitive Support Through eMAR Redesign