Evaluation Factors of Clinical Decision Support System in u_Healthcare Service

Authors: Sun K. Yoo, Ki-Chang Nam, Hyun-Young Shin, Ho-Seong Moon, Hee Cheol Kang

Abstract:

Automated intelligent, clinical decision support systems generally promote to help or to assist physicians and patients regarding to prevention of diseases or treatment of illnesses using computer represented knowledge and information. In this paper, assessment factors affecting the proper design of clinical decision support system were investigated. The required procedure steps for gathering the data from clinical trial and extracting the information from large volume of healthcare repositories were listed, which are necessary for validation and verification of evidence-based implementation of clinical decision support system. The goal of this paper is to extract useful evaluation factors affecting the quality of the clinical decision support system in the design, development, and implementation of a computer-based decision support system.

Keywords: Evaluation, Clinical Decision Support System.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1088480

References:

[1] P.A. de Clercq, J. A. Blom, H.H.M. Korsten, “Approaches for creating computer-interpretable guidelines that facilitate decision support,” Artificail Intelligence in Medicine, Vol.31, pp.1-27, 2004.
[2] K. Zheng, “Design, implementation, user acceptance, and evaluation of a clinical decision support system for evidence-based medicine practice, Ph.D Thesis, Information Systems and Health Informatics, Carneigie Mellon University, 2006.
[3] Clinical Decision Support Systems (CDSS): An Overview, Power Point Material, 1530-Spring 2005.
[4] Clinical Guidelines and Clinical Decision Support System, INNOMED REPORT Part2, First Draft, 2006.
[5] K. Meier, Standalone Clinical Decision Support (CDs), Medical Mobile Applications Draft Guideline Public Workshop, www.fda.gov, 201.
[6] ICH Harmonized Tripartite Guideline, Guideline for Good Clinical Practice E6(R1), Step 4 version, ICH Expert Working Group, 1996.
[7] S. Shin, “Research Information System using u_health Service,” 2nd u-Health Seminar, Asan Medical Center, 2012