Bruce E. Bray

Bruce E. Bray, MD

Languages spoken: English

Academic Information

Departments Primary - Biomedical Informatics

Board Certification

  • National Board of Medical Examiners
  • American Board of Internal Medicine (Sub: Cardiovascular Disease)
  • American Board of Internal Medicine (Internal Medicine)

Dr. Bray is a Professor in the Departments of Medicine (Cardiovascular) and Biomedical Informatics at the University of Utah School of Medicine. Dr. Bray obtained a bachelor of science degree in biology and a medical degree from Loma Linda University. He completed an Internal Medicine Residency at Wright State University / Kettering Medical Center, and completed his Cardiovascular Disease fellowship at the University of Utah.

Dr. Bray is board certified in Internal Medicine, Cardiovascular Disease, Clinical Informatics and Echocardiography.

Research Statement

Knowledge management systems for healthcare; Clinical decision support systems; Standards for clinical informatics; Translational informatics research..

Education History

Undergraduate Loma Linda University
 BS
Professional Medical Loma Linda University
 MD
Residency Wright State University/Kettering Medical Center
 Resident
Fellowship University of Utah School of Medicine
 Fellow

Selected Publications

Journal Article

  1. Anderson JL, McIlvaine PM, Marshall HW, Bray BE, Yanowitz FG, Lutz JR, Menlove RL, Hagan AD (1984). Long-term follow-up after intracoronary streptokinase for myocardial infarction: a randomized, controlled study. Am Heart J, 108(6), 1402-8.
  2. Margolis A, Bray BE, Gilbert EM, Warner H (1995). Computerized practice guidelines for heart failure management: the HeartMan system. Proceedings. Symposium on Computer Applications in Medical Care, 228-32.
  3. Fu LS, Huff S, Bouhaddou O, Bray B, Warner (1991). Estimating frequency of disease findings from combined hospital databases: a UMLS project. Proceedings. Symposium on Computer Applications in Medical Care, 373-7.
  4. Bray BE, Anderson FL, Hardin CW, Kruger RA, Sutton RB, Nelson J (1985). Digital subtraction coronary angiography using high-pass temporal filtration: a comparison with cineangiography. Catheterization and cardiovascular diagnosis, 11(1), 17-24.
  5. Gill EA, Borrego C, Bray BE, Renlund DG, Hammond EH, Gilbert E (1995). Left ventricular mass increases during cardiac allograft vascular rejection. Journal of the American College of Cardiology, 25(4), 922-6.
  6. Sharp SD, Mason JW, Bray (1992). Comparison of ST depression recorded by Holter monitors and 12-lead ECGs during coronary angiography and exercise testing. Journal of electrocardiology, 25(4), 323-31.
  7. Shao Y, Cheng Y, Shah RU, Weir CR, Bray BE, Zeng-Treitler (2021). Shedding Light on the Black Box: Explaining Deep Neural Network Prediction of Clinical Outcomes. Journal of medical systems, 45(1), 5.
  8. Deshmukh VG, Hoffman MA, Arnoldi C, Bray BE, Mitchell J (2009). Efficiency of CYP2C9 genetic test representation for automated pharmacogenetic decision support. Methods of information in medicine, 48(3), 282-90.
  9. Anderson JL, Marshall HW, Bray BE, Lutz JR, Frederick PR, Yanowitz FG, Datz FL, Klausner SC, Hagan A (1983). A randomized trial of intracoronary streptokinase in the treatment of acute myocardial infarction. The New England journal of medicine, 308(22), 1312-8.
  10. Huff SM, Rocha RA, Bray BE, Warner HR, Haug P (1995). An event model of medical information representation. Journal of the American Medical Informatics Association, 2(2), 116-34.
  11. Garvin JH, DuVall SL, South BR, Bray BE, Bolton D, Heavirland J, Pickard S, Heidenreich P, Shen S, Weir C, Samore M, Goldstein M (2012). Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failure. Journal of the American Medical Informatics Association, 19(5), 859-66.
  12. Kawamoto K, Martin CJ, Williams K, Tu MC, Park CG, Hunter C, Staes CJ, Bray BE, Deshmukh VG, Holbrook RA, Morris SJ, Fedderson MB, Sletta A, Turnbull J, Mulvihill SJ, Crabtree GL, Entwistle DE, McKenna QL, Strong MB, Pendleton RC, Lee V (2015). Value Driven Outcomes (VDO): a pragmatic, modular, and extensible software framework for understanding and improving health care costs and outcomes. Journal of the American Medical Informatics Association, 22(1), 223-35.
  13. Meystre SM, Kim Y, Gobbel GT, Matheny ME, Redd A, Bray BE, Garvin J (2017). Congestive heart failure information extraction framework for automated treatment performance measures assessment. Journal of the American Medical Informatics Association, 24(e1), e40-e46.
  14. Ye X, Zeng QT, Facelli JC, Brixner DI, Conway M, Bray B (2020). Predicting Optimal Hypertension Treatment Pathways Using Recurrent Neural Networks. International journal of medical informatics, 139, 104122.
  15. Lin IK, Bray BE, Smith JA, Lange L (2001). The feasibility of remote-controlled assistance as a search tool for patient education. Proceedings. AMIA Symposium, 378-82.
  16. Fiszman M, Bray BE, Shin D, Kilicoglu H, Bennett GC, Bodenreider O, Rindflesch T (2010). Combining relevance assignment with quality of the evidence to support guideline development. Studies in health technology and informatics, 160(Pt 1), 709-13.
  17. Meystre SM, Kim Y, Heavirland J, Williams J, Bray BE, Garvin (2015). Heart Failure Medications Detection and Prescription Status Classification in Clinical Narrative Documents. Studies in health technology and informatics, 216, 609-13.
  18. Brownstein CA, Beggs AH, Homer N, Merriman B, Yu TW, Flannery KC, DeChene ET, Towne MC, Savage SK, Price EN, Holm IA, Luquette LJ, Lyon E, Majzoub J, Neupert P, McCallie D Jr, Szolovits P, Willard HF, Mendelsohn NJ, Temme R, Finkel RS, Yum SW, Medne L, Sunyaev SR, Adzhubey I, Cassa CA, de Bakker PI, Duzkale H, Dworzy'ski P, Fairbrother W, Francioli L, Funke BH, Giovanni MA, Handsaker RE, Lage K, Lebo MS, Lek M, Leshchiner I, MacArthur DG, McLaughlin HM, Murray MF, Pers TH, Polak PP, Raychaudhuri S, Rehm HL, Soemedi R, Stitziel NO, Vestecka S, Supper J, Gugenmus C, Klocke B, Hahn A, Schubach M, Menzel M, Biskup S, Freisinger P, Deng M, Braun M, Perner S, Smith RJ, Andorf JL, Huang J, Ryckman K, Sheffield VC, Stone EM, Bair T, Black-Ziegelbein EA, Braun TA, Darbro B, DeLuca AP, Kolbe DL, Scheetz TE, Shearer AE, Sompallae R, Wang K, Bassuk AG, Edens E, Mathews K, Moore SA, Shchelochkov OA, Trapane P, Bossler A, Campbell CA, Heusel JW, Kwitek A, Maga T, Panzer K, Wassink T, Van Daele D, Azaiez H, Booth K, Meyer N, Segal MM, Williams MS, Tromp G, White P, Corsmeier D, Fitzgerald-Butt S, Herman G, Lamb-Thrush D, McBride KL, Newsom D, Pierson CR, Rakowsky AT, Maver A, Lovre'i¿ L, Palanda'i¿ A, Peterlin B, Torkamani A, Wedell A, Huss M, Alexeyenko A, Lindvall JM, Magnusson M, Nilsson D, Stranneheim H, Taylan F, Gilissen C, Hoischen A, van Bon B, Yntema H, Nelen M, Zhang W, Sager J, Zhang L, Blair K, Kural D, Cariaso M, Lennon GG, Javed A, Agrawal S, Ng PC, Sandhu KS, Krishna S, Veeramachaneni V, Isakov O, Halperin E, Friedman E, Shomron N, Glusman G, Roach JC, Caballero J, Cox HC, Mauldin D, Ament SA, Rowen L, Richards DR, San Lucas FA, Gonzalez-Garay ML, Caskey CT, Bai Y, Huang Y, Fang F, Zhang Y, Wang Z, Barrera J, Garcia-Lobo JM, González-Lamuño D, Llorca J, Rodriguez MC, Varela I, Reese MG, De La Vega FM, Kiruluta E, Cargill M, Hart RK, Sorenson JM, Lyon GJ, Stevenson DA, Bray BE, Moore BM, Eilbeck K, Yandell M, Zhao H, Hou L, Chen X, Yan X, Chen M, Li C, Yang C, Gunel M, Li P, Kong Y, Alexander AC, Albertyn ZI, Boycott KM, Bulman DE, Gordon PM, Innes AM, Knoppers BM, Majewski J, Marshall CR, Parboosingh JS, Sawyer SL, Samuels ME, Schwartzentruber J, Kohane IS, Margulies D (2014). An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge. Genome biology, 15(3), R53.
  19. Kandula S, Zeng-Treitler Q, Chen L, Salomon WL, Bray B (2011). A bootstrapping algorithm to improve cohort identification using structured data. Journal of biomedical informatics, 44 Suppl 1, S63-S68.
  20. Reeves RM, Christensen L, Brown JR, Conway M, Levis M, Gobbel GT, Shah RU, Goodrich C, Ricket I, Minter F, Bohm A, Bray BE, Matheny ME, Chapman (2021). Adaptation of an NLP system to a new healthcare environment to identify social determinants of health. Journal of biomedical informatics, 120, 103851.
  21. Fillmore CL, Bray BE, Kawamoto (2013). Systematic review of clinical decision support interventions with potential for inpatient cost reduction. BMC medical informatics and decision making, 13, 135.
  22. AbdelRahman SE, Zhang M, Bray BE, Kawamoto (2014). A three-step approach for the derivation and validation of high-performing predictive models using an operational dataset: congestive heart failure readmission case study. BMC medical informatics and decision making, 14, 41.
  23. Fiszman M, Ortiz E, Bray BE, Rindflesch T (2008). Semantic processing to support clinical guideline development. AMIA ... Annual Symposium proceedings. AMIA Symposium, 187-91.
  24. Bradshaw RL, Matney S, Livne OE, Bray BE, Mitchell JA, Narus S (2009). Architecture of a federated query engine for heterogeneous resources. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2009, 70-4.
  25. Scarton LA, Zeng Q, Bray BE, Shane-McWhorter (2011). Feasibility and potential benefit of collecting Complementary and Alternative Medicine data through a computerized patient interview. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011, 1217-23.
  26. Bui D, Nakamura C, Bray BE, Zeng-Treitler (2012). Automated illustration of patients instructions. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2012, 1158-67.
  27. Archer M, Proulx J, Shane-McWhorter L, Bray BE, Zeng-Treitler (2014). Development of an Alert System to Detect Drug Interactions with Herbal Supplements using Medical Record Data. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014, 249-55.
  28. Kukhareva PV, Kawamoto K, Shields DE, Barfuss DT, Halley AM, Tippetts TJ, Warner PB, Bray BE, Staes C (2014). Clinical Decision Support-based Quality Measurement (CDS-QM) Framework: Prototype Implementation, Evaluation, and Future Directions. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014, 825-34.
  29. Kawamanto K, Flynn MC, Kukhareva P, ElHalta D, Hess R, Gregory T, Walls C, Wigren AM, Borbolla D, Bray BE, Parsons MH, Clayson BL, Briley MS, Stipelman CH, Taylor D, King CS, Del Fiol G, Reese TJ, Weir CR, Taft T, Strong M (2018). A Pragmatic Guide to Establishing Clinical Decision Support Governance and Addressing Decision Support Fatigue: a Case Study. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018, 624-633.
  30. Hall JL, Ryan JJ, Bray BE, Brown C, Lanfear D, Newby LK, Relling MV, Risch NJ, Roden DM, Shaw SY, Tcheng JE, Tenenbaum J, Wang TN, Weintraub WS, American Heart Association Professional and Public Education and Publications Committee of the Council on Functional Genomics and Translational Biology., Council on Clinical Cardiology., Council on Epidemiology and Prevention., Council on Quality of Care and Outcomes Research, and Stroke Council (2016). Merging Electronic Health Record Data and Genomics for Cardiovascular Research: A Science Advisory From the American Heart Association. Circulation. Cardiovascular genetics, 9(2), 193-202.
  31. Doing-Harris K, Bray BE, Thackeray A, Shah RU, Shao Y, Cheng Y, Zeng-Treitler Q, Garvin JH, Weir (2019). Development of a cardiac-centered frailty ontology. Journal of biomedical semantics, 10(1), 3.
  32. Kalsy M, Kelly N, Meystre SM, Kim Y, Bray BE, Bolton D, Goldstein MK, Garvin J (2020). Stakeholder Engagement for a Planned Automated Quality Measurement System. SAGE open, 10(2), 1-13.
  33. Morid MA, Sheng ORL, Del Fiol G, Facelli JC, Bray BE, Abdelrahman (2020). Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury. JMIR medical informatics, 8(3), e14272.
  34. Richesson RL, Bray BE, Dymek C, Greenes RA, McIntosh LD, Middleton B, Perry G, Platt J, Shaffer (2020). Summary of second annual MCBK public meeting: Mobilizing Computable Biomedical Knowledge-A movement to accelerate translation of knowledge into action. Learning health systems, 4(2), e10222.
  35. Williams M, Richesson RL, Bray BE, Greenes RA, McIntosh LD, Middleton B, Perry G, Platt J, Shaffer (2020). Summary of third annual MCBK public meeting: Mobilizing computable biomedical knowledge-Accelerating the second knowledge revolution. Learning health systems, 5(1), e10255.
  36. Alper BS, Flynn A, Bray BE, Conte ML, Eldredge C, Gold S, Greenes RA, Haug P, Jacoby K, Koru G, McClay J, Sainvil ML, Sottara D, Tuttle M, Visweswaran S, Yurk R (2021). Categorizing metadata to help mobilize computable biomedical knowledge. Learning health systems, 2021, e10271.
  37. Matheny ME, Ricket I, Goodrich CA, Shah RU, Stabler ME, Perkins AM, Dorn C, Denton J, Bray BE, Gouripeddi R, Higgins J, Chapman WW, MacKenzie TA, Brown J (2021). Development of Electronic Health Record-Based Prediction Models for 30-Day Readmission Risk Among Patients Hospitalized for Acute Myocardial Infarction. JAMA network open, 4(1), e2035782.
  38. Brown JR, Ricket IM, Reeves RM, Shah RU, Goodrich CA, Gobbel G, Stabler ME, Perkins AM, Minter F, Cox KC, Dorn C, Denton J, Bray BE, Gouripeddi R, Higgins J, Chapman WW, MacKenzie T, Matheny M (2022). Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission?. Journal of the American Heart Association, 11(7), e024198.
  39. Weso'owski S, Lemmon G, Hernandez EJ, Henrie A, Miller TA, Weyhrauch D, Puchalski MD, Bray BE, Shah RU, Deshmukh VG, Delaney R, Yostl HJ, Eilbeck K, Tristani-Firouzi M, Yandell (2022). An explainable artificial intelligence approach for predicting cardiovascular outcomes using electronic health records. PLOS digital health, 1(1),
  40. Williams M, Bray BE, Greenes RA, McCusker J, Middleton B, Perry G, Platt J, Richesson RL, Rubin JC, Wheeler (2021). Summary of fourth annual MCBK public meeting: Mobilizing computable biomedical knowledge-metadata and trust. Learning health systems, 6(1), e10301.
  41. Alper BS, Flynn A, Bray BE, Conte ML, Eldredge C, Gold S, Greenes RA, Haug P, Jacoby K, Koru G, McClay J, Sainvil ML, Sottara D, Tuttle M, Visweswaran S, Yurk R (2021). Categorizing metadata to help mobilize computable biomedical knowledge. Learning health systems, 6(1), e10271.

Other

  1. Writing Committee Members, Isselbacher EM, Preventza O, Hamilton Black Iii J, Augoustides JG, Beck AW, Bolen MA, Braverman AC, Bray BE, Brown-Zimmerman MM, Chen EP, Collins TJ, DeAnda A Jr, Fanola CL, Girardi LN, Hicks CW, Hui DS, Jones WS, Kalahasti V, Kim KM, Milewicz DM, Oderich GS, Ogbechie L, Promes SB, Ross EG, Schermerhorn ML, Times SS, Tseng EE, Wang GJ, Woo Y (2022). 2022 ACC/AHA Guideline for the Diagnosis and Management of Aortic Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. Journal of the American College of Cardiology, 80(24), e223-e393.