A rule-based clinical decision model to support interpretation of multiple data in health examinations.
Health examinations can obtain relatively complete health information and thus are important for the personal and public health management. For clinicians, one of the most important works in the health examinations is to interpret the health examination results. Continuously interpreting numerous health examination results of healthcare receivers is tedious and error-prone. This paper proposes a clinical decision support system to assist solving above problems. In order to customize the clinical decision support system intuitively and flexibly, this paper also proposes the rule syntax to implement computer-interpretable logic for health examinations. It is our purpose in this paper to describe the methodology of the proposed clinical decision support system. The evaluation was performed by the implementation and execution of decision rules on health examination results and a survey on clinical decision support system users. It reveals the efficiency and user satisfaction of proposed clinical decision support system. Positive impact of clinical data interpretation is also noted.
Kuo
Kuan-Liang
KL
Family Medicine Department, Ren-Ai Branch, Taipei City Hospital, Taipei, Taiwan, Republic of China. d93009@csie.ntu.edu.tw
Fuh
Chiou-Shann
CS
D000740:Anemia / Q000097:blood / Q000175:diagnosis; D001185:Artificial Intelligence; D015415:Biomarkers / Q000097:blood; D020000:Decision Support Systems, Clinical / Q000295:instrumentation* / Q000458:organization & administration*; D006509:Hepatitis B / Q000097:blood / Q000175:diagnosis; D006801:Humans; D008962:Models, Theoretical; D010808:Physical Examination / Q000295:instrumentation*
D015415:Biomarkers