Implementation and Operation of Pressure Injury Database and Compound Query in Nursing Quality Control

• Main Authors: Min-Huey Chung, 鍾明惠
• Other Authors: Li-wei Yang
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/x9eh8t

碩士 === 國立臺灣大學 === 事業經營碩士在職學位學程 === 107 === By managing adverse events in medical care, administrator can detect errors, analyze nature and causes of adverse events, and establish mechanisms to prevent them. However, most adverse event information management systems do not provide event prediction function, and most adverse event related research uses a small sample. Therefore, the present research develops an adverse event cloud database and management information system to provide clinical personnel for the management and prevention of adverse events. The specific methods and objectives include: (1) Designing and establishing an adverse event database with MySQL, including drugs events, falls events, tubing events, pressure injury and needle stick injury; (2) Building an application web service with PHP for user to manage data, search events, and generate statistical charts of adverse events; (3) Providing users explore important factors of damage of adverse events with decision tree model function in the web page. In this study, the random forest model was used to predict the severity of hospital pressure injuries, and the correct rate was 54.5~64.4%. The most important factors affecting the degree of pressure injury in the adverse events were the occurred units. The others include the site of occurrence, repeated friction at the apophysis, the use of assistive devices, long-term fixed posture, and Barden Scale score. In addition to facilitating medical personnel to report on adverse events in the hospital, this system also provides decision tree model results. These can be reference for clinical and have important contributions to the prevention and management of adverse events, and finally to enhance patient safety.