Min Soon Kim

Min Soon Kim

PhD, MS

Associate Teaching Professor

Dr. Min Soon Kim received his M.S. and Ph.D. degrees in Biomedical Engineering at the University of Texas at Austin. He is doctorally prepared in biomedical engineering, trained as a biomedical informatician. Prior to joining to the University of Missouri, he served as a research fellow at the Center for Biomedical Informatics, Mount Sinai School of Medicine, New York City.

As a biomedical informatics researcher, Dr. Kim’s research is centered on the development and evaluation of practical, effective, and efficient Health Information Technology (HIT), such as electronic health records system, clinical decision support systems (CDSS) and mHealth applications. His research involves informatics implementation, and usability evaluation studies and publications in HIT, involving senior patients with chronic and acute diseases, providers and stakeholders. Dr. Min Kim is currently conducting a funded study, involving a mobile application where personalized education will be designed, tested, implemented, and evaluated for the effectiveness of use by senior diabetes patients.

Dr. Kim conducts research on topics related to health care and technology. He has expertise in informatics (the science of information) as it relates to both public health and clinical research. He also has worked to analyze the information needs of patients, providers and other health care stakeholders.

Additionally, Kim has evaluated various health information technologies. He has tested usability of simple and complex electronic health records for physicians and nurses. And he has investigated clinical decision support systems for emergency medicine physicians. Kim is currently conducting a funded study, involving a mobile application where personalized education will be designed, tested, implemented, and evaluated for the effectiveness of use by senior diabetes patients.

Before joining the University of Missouri in 2010, Kim served as a research fellow in the Center for Biomedical Informatics at Mount Sinai School of Medicine. Prior to that, as part of his doctoral research, he investigated how computers can assist doctors and patients in making evidence-based medical decisions regarding breast cancer treatment.

In addition to his research, Kim is an educator. He teaches graduate-level classes on information security, evaluation and policy, as well as on designing systems for health and human services.

Education

  • 2007 Ph.D. Biomedical Engineering – University of Texas at Austin
  • 2004  M.S. Biomedical Engineering, The University of Texas at Austin
  • 2000  B.S. Mechanical Engineering, Chungnam National University, Daejeon, South Korea

Areas of expertise

  • Health Information Technology Evaluation (Usability, Functionality)
  • Information needs analysis by stake holders in health care
  • Health Information Technology Evaluation Quantitative and Qualitative assessment of clinical outcomes

Research interests

  • Health Informatics
  • Patient-centered care and outcomes of chronic disease
  • Clinical decision support systems (CDSS) applications
  • Development and evaluation of practical, effective, and efficient Health Information Technology (HIT)
  • Electronic health records system

Courses taught

  • HLTH_ADM 7430 Health Informatics for Leaders
  • HLTH_ADM 7410 Introduction to the US Health Care System
  • HLTH_ADM 8453 Executive Management Studies
  • PBLs Patient Based Learning

Active grants

  • Project Title: Patient-Centered Diabetes Education as an integral part of an Electronic Clinic Note using the SEE-Diabetes Modules
    • PI Name: Kim, Min Soon
    • Role: PI
    • Sponsor: Agency For Healthcare Research And Quality (AHRQ) R21
    • Award Amount: $ 301,521
    • Start/End Date: 04/01/2022 through 03/31/2025
    • Award Number: 1R21HS028032-01A1
    • Goal: To develop an educational decision aid, SEE-Diabetes (Support – Engage – Empower – Diabetes) to incorporate into electronic clinic notes in the patient portal, combining the DSMES framework and patient specific information.
  • Project Title: The Washington University Center for Diabetes Translation Research
    • PI Name: Haire-Joshu; Debra, Simoes, Eduardo (Site PI)
    • Role: Co-Investigator
    • Sponsor: Washington University (NIH/ National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) prime)
    • Award Amount: $765,287
    • Award Number: 2P30DK092950-11
    • Start/End Date: 8/1/2021 through 6/30/2026
    • Goal: To develop and application of health informatics focused on translating interventions to reach populations at risk for diabetes disparities.

Selected publications

  • P. Narindrarangkura, U. Khan, S. A. Boren, M. Day, E. J. Simoes, M. S. Kim*, “SEE-Diabetes, a Patient-Centered Diabetes Self-Management Education and Support for Older Adults: Findings and Information Needs from Providers’ Perspectives”, Diabetes and Metabolic Syndrome: Clinical Research and Reviews 2022 Sep;16(9):102582. doi: 10.1016/j.dsx.2022.102582. Epub 2022 Jul 30.
  • P. Narindrarangkura, S. A. Boren, U. Khan, M. Day, E. J. Simoes, M. S. Kim*, “SEE-Diabetes, a Patient-Centered Diabetes Self-Management Education and Support for Older Adults: Findings and Information Needs from Patients’ Perspectives”, Primary Care Diabetes, 2022 Jun;16(3):395-403. doi: 10.1016/j.pcd.2022.02.008. Epub 2022 Feb 25.
  • P. Narindrarangkura, S. Dejhansathit, U. Khan, M. Day, S. A. Boren, E. J. Simoes, M. S. Kim*, “Developing and Evaluating SEE-Diabetes, An Educational Decision Support System for Patient-Centered Diabetes Care”, AMIA 2024 Clinical Informatics Conference (2024)
  • P. Narindrarangkura, S. Dejhansathit, U. Khan, M. Day, S. A. Boren, E. J. Simoes, M. S. Kim*, “Content Validation of SEE-Diabetes, an Educational Decision Support System for Patient-Centered Diabetes Care”, AMIA 2024 Clinical Informatics Conference (2024)
  • Siroj Dejhansathit, P. Narindrarangkura, S. A. Boren, U. Khan, M. Day, E. J. Simoes, M. S. Kim*,“SEE-Diabetes, patient-centered diabetes self-management educational decision aid: Content validation”, 2023 Conference on Practice & Quality Improvement, Society of Teachers of Family Medicine (2023)

Awards

  • 2014 Mizzou Advantage Faculty Development Award
  • 2011 Mizzou Advantage Faculty Development Award

In the news