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Bruce E. Bray

Bruce E. Bray, MD

Languages spoken: English

Academic Information

Departments Primary - Biomedical Informatics , Primary - Internal Medicine

Divisions: Cardiovascular Medicine

Board Certification

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

Research Interests

  • Clinical Informatics
  • Echocardiography
  • Population Health Management and Quality Improvement

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

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

Selected Publications

Journal Article

  1. 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 ME (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? J Am Heart Assoc, 11(7), e024198. (Read full article)
  2. Wesoowski 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 M (2022). An explainable artificial intelligence approach for predicting cardiovascular outcomes using electronic health records. PLOS Digit Health, 1(1). (Read full article)
  3. Williams M, Bray BE, Greenes RA, McCusker J, Middleton B, Perry G, Platt J, Richesson RL, Rubin JC, Wheeler T (2021). Summary of fourth annual MCBK public meeting: Mobilizing computable biomedical knowledge-metadata and trust. Learn Health Syst, 6(1), e10301. (Read full article)
  4. 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 W (2021). Adaptation of an NLP system to a new healthcare environment to identify social determinants of health. J Biomed Inform, 120, 103851. (Read full article)
  5. 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 RA (2021). Categorizing metadata to help mobilize computable biomedical knowledge. Learn Health Syst, 2021, e10271.
  6. 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 RA (2021). Categorizing metadata to help mobilize computable biomedical knowledge. Learn Health Syst, 6(1), e10271. (Read full article)
  7. Shao Y, Cheng Y, Shah RU, Weir CR, Bray BE, Zeng-Treitler Q (2021). Shedding Light on the Black Box: Explaining Deep Neural Network Prediction of Clinical Outcomes. J Med Syst, 45(1), 5. (Read full article)
  8. 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 JR (2021). Development of Electronic Health Record-Based Prediction Models for 30-Day Readmission Risk Among Patients Hospitalized for Acute Myocardial Infarction. JAMA Netw Open, 4(1), e2035782. (Read full article)
  9. Williams M, Richesson RL, Bray BE, Greenes RA, McIntosh LD, Middleton B, Perry G, Platt J, Shaffer C (2020). Summary of third annual MCBK public meeting: Mobilizing computable biomedical knowledge-Accelerating the second knowledge revolution. Learn Health Syst, 5(1), e10255. (Read full article)
  10. Ye X, Zeng QT, Facelli JC, Brixner DI, Conway M, Bray BE (2020). Predicting Optimal Hypertension Treatment Pathways Using Recurrent Neural Networks. Int J Med Inform, 139, 104122. (Read full article)
  11. Kalsy M, Kelly N, Meystre SM, Kim Y, Bray BE, Bolton D, Goldstein MK, Garvin JH (2020). Stakeholder Engagement for a Planned Automated Quality Measurement System. Sage Open, 10(2), 1-13.
  12. Morid MA, Sheng ORL, Del Fiol G, Facelli JC, Bray BE, Abdelrahman S (2020). Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury. JMIR Med Inform, 8(3), e14272. (Read full article)
  13. Richesson RL, Bray BE, Dymek C, Greenes RA, McIntosh LD, Middleton B, Perry G, Platt J, Shaffer C (2020). Summary of second annual MCBK public meeting: Mobilizing Computable Biomedical Knowledge-A movement to accelerate translation of knowledge into action. Learn Health Syst, 4(2), e10222. (Read full article)
  14. Doing-Harris K, Bray BE, Thackeray A, Shah RU, Shao Y, Cheng Y, Zeng-Treitler Q, Garvin JH, Weir C (2019). Development of a cardiac-centered frailty ontology. J Biomed Semantics, 10(1), 3. (Read full article)
  15. 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 MB (2018). A Pragmatic Guide to Establishing Clinical Decision Support Governance and Addressing Decision Support Fatigue: a Case Study. AMIA Annu Symp Proc, 2018, 624-633. (Read full article)
  16. Meystre SM, Kim Y, Gobbel GT, Matheny ME, Redd A, Bray BE, Garvin JH (2017). Congestive heart failure information extraction framework for automated treatment performance measures assessment. J Am Med Inform Assoc, 24(e1), e40-e46. (Read full article)
  17. 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. Circ Cardiovasc Genet, 9(2), 193-202. (Read full article)
  18. 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 VS (2015). Value Driven Outcomes (VDO): a pragmatic, modular, and extensible software framework for understanding and improving health care costs and outcomes. J Am Med Inform Assoc, 22(1), 223-35. (Read full article)
  19. Meystre SM, Kim Y, Heavirland J, Williams J, Bray BE, Garvin J (2015). Heart Failure Medications Detection and Prescription Status Classification in Clinical Narrative Documents. Stud Health Technol Inform, 216, 609-13. (Read full article)
  20. Kukhareva PV, Kawamoto K, Shields DE, Barfuss DT, Halley AM, Tippetts TJ, Warner PB, Bray BE, Staes CJ (2014). Clinical Decision Support-based Quality Measurement (CDS-QM) Framework: Prototype Implementation, Evaluation, and Future Directions. AMIA Annu Symp Proc, 2014, 825-34. (Read full article)
  21. Archer M, Proulx J, Shane-McWhorter L, Bray BE, Zeng-Treitler Q (2014). Development of an Alert System to Detect Drug Interactions with Herbal Supplements using Medical Record Data. AMIA Annu Symp Proc, 2014, 249-55. (Read full article)
  22. AbdelRahman SE, Zhang M, Bray BE, Kawamoto K (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 Med Inform Decis Mak, 14, 41. (Read full article)
  23. 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, Dworzyski 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, Lovrei L, Palandai 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, Gonzlez-Lamuo 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 DM (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 Biol, 15(3), R53. (Read full article)
  24. Fillmore CL, Bray BE, Kawamoto K (2013). Systematic review of clinical decision support interventions with potential for inpatient cost reduction. BMC Med Inform Decis Mak, 13, 135. (Read full article)
  25. Garvin JH, DuVall SL, South BR, Bray BE, Bolton D, Heavirland J, Pickard S, Heidenreich P, Shen S, Weir C, Samore M, Goldstein MK (2012). Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failure. J Am Med Inform Assoc, 19(5), 859-66. (Read full article)
  26. Bui D, Nakamura C, Bray BE, Zeng-Treitler Q (2012). Automated illustration of patients instructions. AMIA Annu Symp Proc, 2012, 1158-67. (Read full article)
  27. Kandula S, Zeng-Treitler Q, Chen L, Salomon WL, Bray BE (2011). A bootstrapping algorithm to improve cohort identification using structured data. J Biomed Inform, 44 Suppl 1, S63-S68. (Read full article)
  28. Scarton LA, Zeng Q, Bray BE, Shane-McWhorter L (2011). Feasibility and potential benefit of collecting Complementary and Alternative Medicine data through a computerized patient interview. AMIA Annu Symp Proc, 2011, 1217-23. (Read full article)
  29. Fiszman M, Bray BE, Shin D, Kilicoglu H, Bennett GC, Bodenreider O, Rindflesch TC (2010). Combining relevance assignment with quality of the evidence to support guideline development. Stud Health Technol Inform, 160(Pt 1), 709-13. (Read full article)
  30. Bradshaw RL, Matney S, Livne OE, Bray BE, Mitchell JA, Narus SP (2009). Architecture of a federated query engine for heterogeneous resources. AMIA Annu Symp Proc, 2009, 70-4. (Read full article)
  31. Deshmukh VG, Hoffman MA, Arnoldi C, Bray BE, Mitchell JA (2009). Efficiency of CYP2C9 genetic test representation for automated pharmacogenetic decision support. Methods Inf Med, 48(3), 282-90. (Read full article)
  32. Fiszman M, Ortiz E, Bray BE, Rindflesch TC (2008). Semantic processing to support clinical guideline development. AMIA Annu Symp Proc, 187-91. (Read full article)
  33. Lin IK, Bray BE, Smith JA, Lange LL (2001). The feasibility of remote-controlled assistance as a search tool for patient education. Proc AMIA Symp, 378-82. (Read full article)
  34. Gill EA, Borrego C, Bray BE, Renlund DG, Hammond EH, Gilbert EM (1995). Left ventricular mass increases during cardiac allograft vascular rejection. J Am Coll Cardiol, 25(4), 922-6. (Read full article)
  35. Huff SM, Rocha RA, Bray BE, Warner HR, Haug PJ (1995). An event model of medical information representation. J Am Med Inform Assoc, 2(2), 116-34. (Read full article)
  36. Margolis A, Bray BE, Gilbert EM, Warner HR (1995). Computerized practice guidelines for heart failure management: the HeartMan system. Proc Annu Symp Comput Appl Med Care, 228-32. (Read full article)
  37. Sharp SD, Mason JW, Bray B (1992). Comparison of ST depression recorded by Holter monitors and 12-lead ECGs during coronary angiography and exercise testing. J Electrocardiol, 25(4), 323-31. (Read full article)
  38. Fu LS, Huff S, Bouhaddou O, Bray B, Warner H (1991). Estimating frequency of disease findings from combined hospital databases: a UMLS project. Proc Annu Symp Comput Appl Med Care, 373-7. (Read full article)
  39. Bray BE, Anderson FL, Hardin CW, Kruger RA, Sutton RB, Nelson JA (1985). Digital subtraction coronary angiography using high-pass temporal filtration: a comparison with cineangiography. Cathet Cardiovasc Diagn, 11(1), 17-24. (Read full article)
  40. 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. (Read full article)
  41. Anderson JL, Marshall HW, Bray BE, Lutz JR, Frederick PR, Yanowitz FG, Datz FL, Klausner SC, Hagan AD (1983). A randomized trial of intracoronary streptokinase in the treatment of acute myocardial infarction. N Engl J Med, 308(22), 1312-8. (Read full article)

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 YJ (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. J Am Coll Cardiol (80(24), pp. e223-e393). United States. (Read full article)