Evaluation of satisfaction with medical and health services using BP neural network(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2023年第6期
- Page:
- 788-792
- Research Field:
- 其他（激光医学等）
- Publishing date:
Info
- Title:
- Evaluation of satisfaction with medical and health services using BP neural network
- Author(s):
- GUO Shuang; CHENG Wei; LIU Xinxin; LIU Honglei; DENG Tong
- Beijing Jishuitan Hospital, Beijing 100035, China
- Keywords:
- Keywords: medical and health services satisfaction BP neural network comparative study
- PACS:
- R195
- DOI:
- DOI:10.3969/j.issn.1005-202X.2023.06.019
- Abstract:
- Objective To comprehensively evaluate the patient satisfaction with medical and health services using BP neural network and other machine learning algorithms, and analyze the factors affecting patient satisfaction, thereby providing reference for improving the quality of health services in medical institutions. Methods A questionnaire survey was conducted on patients over the age of 16 admitted to 33 medical and health service institutions in Beijing to explore patient satisfaction with nursing safety, patient experience, nursing follow-up and nursing-timeliness. Results In the prediction of patient satisfaction, the accuracy, recall rate and harmonic average of BP neural network were all higher than those of the traditional machine learning algorithms. The importance coefficient of satisfaction in the decision on patient satisfaction was as follow: nursing-timeliness (1.021 4), patient experience (0.923 9), nursing safety (0.898 1) and nursing follow-up (0.179 8). Conclusion Nursing-timeliness, patient experience and nursing safety are the important factors affecting the satisfaction with medical and health services. Medical and health service institutions should further strengthen the training in the above 3 aspects.
Last Update: 2023-06-28