|Table of Contents|

 Feasibility of medical big data-based performance evaluation for large medical equipment(PDF)

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

Issue:
2017年第11期
Page:
1180-1184
Research Field:
医学信号处理与医学仪器
Publishing date:

Info

Title:
 Feasibility of medical big data-based performance evaluation for large medical equipment
Author(s):
 JI Yuhong1 HAN Xuefei1 TIAN Xiaoheng1 ZHAO Kai2
 1. Department of Equipment Maintenance, Yulin Second Hospital, Yulin 719000, China; 2. Xuzhou Medical University, Xuzhou 221000, China
Keywords:
 Keywords: large medical equipment medical big data performance evaluation feasibility
PACS:
R195
DOI:
DOI:10.3969/j.issn.1005-202X.2017.11.019
Abstract:
 Abstract: Objective To explore the feasibility of using the performance evaluation system for assessing large medical equipment usage based on medical big data derived from a survey of the operations of B type large medical equipment. Methods All the B type large medical equipment (CT, MRI, DSA, SPECT and LA) in Yulin Second Hospital were surveyed for equipment usage and for the satisfaction scores rated by physicians and patients in one year. We established a comprehensive evaluation model for assessing the performance of large medical equipment by incorporating 5 assessment indicators, namely the annual operation rate, annual capacity utilization rate, annual income, physician satisfaction score and patient satisfaction score. Results The rank of annual operation rates of the large medical equipment, from high to low, was CT, SPECT, MRI, DSA and LA, and the rates were similar between SPECT and MRI (P=0.703). The annual capacity utilization rates of the equipment decreased significantly in the order of CT, MRI, DSA, SPECT and LA (P<0.001). The annual income was the highest with CT, followed by MRI, DSA, SPECT and LA (all P<0.001). CT had the highest physician satisfaction score, followed then by DSA, SPECT, MRI and LA, but the differences were not statistically significant except for that between CT and MRI. The patient satisfaction scores lowered in the order of LA, CT, SPECT, MRI and DSA, but the differences were not statistically significant except for those between DSA and other equipment. The comprehensive performance evaluation showed that the overall scores of these B type large medical equipment decreased in the order of CT, MRI, SPECT, DSA and LA. Conclusion The results of the comprehensive evaluation model for performance evaluation of the B type large medical equipment are basically consistent with the current situation of equipment usage. This model is simple, easy to operate, scientific and valid for evaluating the performance of large medical equipment.

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Last Update: 2017-11-23