PhD, MS

Assistant 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.

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

• Development and evaluation of practical, effective, and efficient Health Information Technology (HIT)
• Electronic health records system
• Clinical decision support systems (CDSS) applications
• mHealth applications

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