A study of Patient Safety Reports System Data Analysis Using the Machine Learning Techniques

Autor: Way-Ren Huang, 黃蔚仁
Rok vydání: 2018
Druh dokumentu: 學位論文 ; thesis
Popis: 106
Patient safety has always been an important issue in improving the quality of medical care. The first step in preventing accidents is to screen the high-risk groups prone to accidents. The patient safety reporting system is one of the best tools for screening, considering how to prevent accidents in the future through analysis of the conditions of those happened cases. In this study, we first examined the impacts of the reporting system on users before and after re-designing of the online reporting system based on introducing the user-centered concept with the extended Technology Acceptance Model (TAM) in a regional teaching hospital in northern Taiwan. Our results showed that after implementation of the system refinement with user-centered design, the correlation of Perceived Ease of Use (PEOU) with Perceived Usefulness (PU) was increases from -0.02 to 0.51 (p
Databáze: Networked Digital Library of Theses & Dissertations