Exploring the Effects of IDEF 0 and Leagility Analysis on Patient-referral Operations of Hospital Information Systems

• Main Authors: Chun-Jen Yu, 尤俊仁
• Other Authors: Ping-Shun Chen
• Format: Others
• Language: en_US
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/98232726176573585750

碩士 === 中原大學 === 工業與系統工程研究所 === 101 === Recently, medical resource pooling has been an important topic. The types of medical resource pooling consist of hospital collaboration, communication between hospital information systems and patient-referring mechanism. Since patient’s data of hospitals becomes e-processing, hospitals can transmit patient’s electronic medical record (EMR) to other hospitals. If the referring hospital does not receive the referred patient’s EMR, the patient-referring mechanism will be delay and safety of the referred patient will be affected. Therefore, how hospital information systems can transmit patient’s EMR accurately and timely becomes a critical research issue. The objective of this research is to consider a computed tomography (CT) scan process of the patient-referring mechanism as a case study and to explore how the information flow can support the medical operations in order to accomplish medical resource pooling. This research adopts Integration Definition for Function Modeling (IDEF0) to analyze the operational and information flows of the CT scan of the referred patients. In addition, this research adopts the Leagility concept, which contains lean and agility, to analyze the CT patient-referring mechanism. This study uses the “Lean” concept to remove the non value-added medical operations and also apply the “Agility” concept to improve the feasibility of hospital information systems. As a result, hospital information systems can handle more uncertainty of patients. This research considers three hospitals and improves their operational flows of the CT scan of the referred patients. Through information sharing between these hospitals, the medical staff can perform medical operations more accuracy and timely. The modified patient-referring mechanism can fulfill medical resource pooling and improve patient safety. Further, effective information sharing and transmission can improve quality of care for patients. The proposed framework by this research can provide hospitals with a reference to achieve their medical resource pooling.