Kensaku Kawamoto, MD, PhD, MHS

Research Interests

  • Clinical Decision Support Systems
  • Knowledge Management
  • Personalized Medicine
  • Standards and Scalability

Languages

  • English
  • Japanese

Academic Information

  • Departments: Biomedical Informatics - Associate Professor

Academic Office Information

  • 801-587-8076
  • Biomedical Informatics
    421 Wakara Way, Room: 140
    Salt Lake City, UT 84108

Academic Bio

Dr. Kensaku Kawamoto is Associate Chief Medical Information Officer of University of Utah Health. He is also Associate Professor and Vice Chair of Clinical Informatics in the University of Utah Department of Biomedical Informatics. Dr. Kawamoto earned his B.A. in biochemical sciences from Harvard University, and he earned his M.D., Ph.D. in biomedical engineering with a focus on biomedical informatics, and M.H.S. in clinical research from Duke University. At the University of Utah, Dr. Kawamoto chairs the Clinical Decision Support committee and is a leader of the University’s Interoperable Apps and Services (IAPPS) initiative, which is a multi-stakeholder effort to enable standards-based, interoperable applications and software services to improve health and health care. Dr. Kawamoto is also a co-solution architect of the Value Driven Outcomes (VDO) framework for analyzing and improving care value. Beyond the University of Utah, Dr. Kawamoto co-chairs the Clinical Decision Support Work Group of Health Level 7 International (HL7), the primary standards development organization in health IT. He has also served as Initiative Coordinator for the U.S. Health eDecisions and Clinical Quality Framework initiatives for developing and validating interoperability standards for clinical decision support and clinical quality measurement. Dr. Kawamoto founded and directs OpenCDS (http://www.opencds.org), which is a multi-institutional initiative to enable advanced, standards-based, and open-source clinical decision support at scale. Dr. Kawamoto is a member of the Huntsman Cancer Institute Cancer Control and Population Science Program, and he is a co-PI on an NCI U24 grant on population-based cancer risk identification and management, as well as PI on an AHRQ R18 grant on technology-facilitated shared decision making for lung cancer screening. Dr. Kawamoto is also a member of the U.S. Health IT Advisory Committee, which provides guidance to the U.S. Office of the National Coordinator for Health IT on policies, standards, implementation specifications, and certification criteria related to health information technology. In this capacity, he also co-chairs the federal Interoperability Standards Priorities Task Force, whose charge is to recommend priority uses of health IT and the associated standards and implementation specifications.

“I believe one of the greatest challenges facing our nation is how to provide high-quality health care at a cost affordable by society. It is truly gratifying to work with talented colleagues from across the University and beyond to address this grand challenge of our times, with clinical informatics serving as a core enabler for the types of fundamental changes required to realize the vision of high-quality, high-value health care.”

http://scholar.google.com/citations?user=pTliAH0AAAAJ

Education History

Type School Degree
Graduate Training Duke University Allied Health Graduate Program
Clinical Research
M.H.S.
Professional Medical Duke University School of Medicine
Medicine
M.D.
Doctoral Training Duke University Graduate School
Biomedical Engineering
Ph.D.
Undergraduate Harvard University
Biochemical Sciences
B.A.

Selected Publications

Journal Article

  1. Hanauer DA, Barnholtz-Sloan JS, Beno MF, Del Fiol G, Durbin EB, Gologorskaya O, Harris D, Harnett B, Kawamoto K, May B, Meeks E, Pfaff E, Weiss J, Zheng K (2020). Electronic Medical Record Search Engine (EMERSE): An Information Retrieval Tool for Supporting Cancer Research. JCO Clin Cancer Inform, 4, 454-463.
  2. Richesson RL, Staes CJ, Douthit BJ, Thoureen T, Hatch DJ, Kawamoto K, Del Fiol G (2019). Measuring implementation feasibility of clinical decision support alerts for clinical practice recommendations. J Am Med Inform Assoc, 27(4), 514-521.
  3. Kukhareva P, Warner P, Rodriguez S, Kramer H, Weir C, Nanjo C, Shields D, Kawamoto K (2020). Balancing Functionality versus Portability for SMART on FHIR Applications: Case Study for a Neonatal Bilirubin Management Application. AMIA Annu Symp Proc, 2019, 562-571.
  4. Marcial LH, Blumenfeld B, Harle C, Jing X, Keller MS, Lee V, Lin Z, Dover A, Midboe AM, Al-Showk S, Bradley V, Breen J, Fadden M, Lomotan E, Marco-Ruiz L, Mohamed R, OConnor P, Rosendale D, Solomon H, Kawamoto K (2020). Barriers, Facilitators, and Potential Solutions to Advancing Interoperable Clinical Decision Support: Multi-Stakeholder Consensus Recommendations for the Opioid Use Case. AMIA Annu Symp Proc, 2019, 637-646.
  5. Bahr TM, Shakib JH, Stipelman CH, Kawamoto K, Cail K, Lauer S, Christensen RD (2020). Improving the Bilirubin Management Program in the Newborn Nursery: Background, Aims, and Protocol. Neonatology, 1-7.
  6. Fernandez ME, Schlechter CR, Del Fiol G, Gibson B, Kawamoto K, Siaperas T, Pruhs A, Greene T, Nahum-Shani I, Schulthies S, Nelson M, Bohner C, Kramer H, Borbolla D, Austin S, Weir C, Walker TW, Lam CY, Wetter DW (2020). QuitSMART Utah: an implementation study protocol for a cluster-randomized, multi-level Sequential Multiple Assignment Randomized Trial to increase Reach and Impact of tobacco cessation treatment in Community Health Centers. Implement Sci, 15(1), 9.
  7. Edholm K, Lapp K, Kukhareva P, Hopkins C, Hatton ND, Gebhart B, Nyman H, Signor E, Davis M, Kawamoto K, Johnson SA (2020). Reducing Diabetic Ketoacidosis Intensive Care Unit Admissions Through an Electronic Health Record-Driven, Standardized Care Pathway. (Epub ahead of print) J Healthc Qual.
  8. Del Fiol G, Kohlmann W, Bradshaw RL, Weir CR, Flynn M, Hess R, Schiffman JD, Nanjo C, Kawamoto K (2020). Standards-Based Clinical Decision Support Platform to Manage Patients Who Meet Guideline-Based Criteria for Genetic Evaluation of Familial Cancer. JCO Clin Cancer Inform, 4, 1-9.
  9. Kawamoto K, Kukhareva P, Shakib JH, Kramer H, Rodriguez S, Warner PB, Shields D, Weir C, Del Fiol G, Taft T, Stipelman CH (2019). Association of an Electronic Health Record Add-on App for Neonatal Bilirubin Management With Physician Efficiency and Care Quality. JAMA Netw Open, 2(11), e1915343.
  10. Norton JM, Ali K, Jurkovitz CT, Kiryluk K, Park M, Kawamoto K, Shang N, Navaneethan SD, Narva AS, Drawz P (2019). Development and Validation of a Pragmatic Electronic Phenotype for CKD. Clin J Am Soc Nephrol, 14(9), 1306-1314.
  11. Stipelman CH, Smith ER, Diaz-Ochu M, Spackman J, Stoddard G, Kawamoto K, Shakib JH (2019). Early-Onset Sepsis Risk Calculator Integration Into an Electronic Health Record in the Nursery. Pediatrics, 144(2).
  12. Mowery DL, Kawamoto K, Bradshaw R, Kohlmann W, Schiffman JD, Weir C, Borbolla D, Chapman WW, Del Fiol G (2019). Determining Onset for Familial Breast and Colorectal Cancer from Family History Comments in the Electronic Health Record. AMIA Jt Summits Transl Sci Proc, 2019, 173-181.
  13. Marcial LH, Richardson JE, Lasater B, Middleton B, Osheroff JA, Kawamoto K, Ancker JS, van Leeuwen D, Lomotan EA, Al-Showk S, Blumenfeld BH (2018). The Imperative for Patient-Centered Clinical Decision Support. EGEMS (Wash DC), 6(1), 12.
  14. Kawamoto K, Anstrom KJ, Anderson JB, Bosworth HB, Lobach DF, McAdam-Marx C, Ferranti JM, Shang H, Yarnall KS (2017). Long-Term Impact of an Electronic Health Record-Enabled, Team-Based, and Scalable Population Health Strategy Based on the Chronic Care Model. AMIA Annu Symp Proc, 2016, 686-695.
  15. Lin Y, Staes CJ, Shields DE, Kandula V, Welch BM, Kawamoto K (2015). Design, Development, and Initial Evaluation of a Terminology for Clinical Decision Support and Electronic Clinical Quality Measurement. AMIA Annu Symp Proc, 2015, 843-51.
  16. Welch BM, Eilbeck K, Del Fiol G, Meyer LJ, Kawamoto K (2014). Technical desiderata for the integration of genomic data with clinical decision support. J Biomed Inform, 51, 3-7.
  17. Welch BM, Loya SR, Eilbeck K, Kawamoto K (2014). A proposed clinical decision support architecture capable of supporting whole genome sequence information. Journal of Personalized Medicine, 4(2), 176-99.
  18. Welch BM, Kawamoto K (2012). Clinical decision support for genetically guided personalized medicine: a systematic review. J Am Med Inform Assoc, 20(2), 388-400.
  19. Zhang D, Sanchez-Fueyo A, Kawamoto K, Alexopoulos SP, Zhang W, Zheng XX (2010). Th1 to Th2 immune deviation facilitates, but does not cause, islet allograft tolerance in mice. Cytokine, 51(3), 311-9.
  20. Jenders RA, Del Fiol G, Kawamoto K, Sailors RM (2008). Standards in clinical decision support: activities in health level seven. AMIA Annu Symp Proc, 1244-5.
  21. Drew RH, Kawamoto K, Adams MB (2006). Information technology for optimizing the management of infectious diseases. Am J Health Syst Pharm, 63(10), 957-65.
  22. Ferranti JM, Musser RC, Kawamoto K, Hammond WE (2006). The clinical document architecture and the continuity of care record: a critical analysis. J Am Med Inform Assoc, 13(3), 245-52.
  23. Eisenstein EL, Anstrom KJ, Macri JM, Crosslin DR, Johnson FS, Kawamoto K, Lobach DF (2006). Assessing the potential economic value of health information technology interventions in a community-based health network. AMIA Annu Symp Proc, 221-5.

Letter

  1. Abedin Z, Hoerner R, Habboushe J, Lu Y, Kawamoto K, Warner PB, Shields DE, Shah RU (2020). Implementation of a Fast Healthcare Interoperability Resources-Based Clinical Decision Support Tool for Calculating CHA2DS2-VASc Scores. [Letter to the editor]. Circ Cardiovasc Qual Outcomes, 13(2), e006286.

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