Effect of Intelligent Medical Management Platform Combined with Perioperative Detailed Nursing on Cognitive Ability, Postoperative Complications, and Quality of Life of Patients Undergoing Hysterectomy.
Comput Math Methods Med
; 2022: 4820835, 2022.
Article
in English
| MEDLINE | ID: covidwho-1807692
ABSTRACT
Objective:
To analyze the effect of an intelligent medical management platform combined with perioperative detailed nursing on cognitive ability, postoperative complications, and quality of life (QOL) of patients undergoing hysterectomy.Methods:
The clinical data of 76 patients undergoing hysterectomy in our hospital from December 2019 to December 2021 were selected for the retrospective analysis, and the patients were divided into the experimental group (EG, n = 38, intelligent medical management platform+perioperative detailed nursing) and the routine group (RG, n = 38, routine nursing) according to their admission order, and the cognition of disease and QOL after intervention of patients in the two groups were evaluated by the self-proposed questionnaire on cognition of disease of our hospital and the MOS 36-item short-form health survey (SF-36).Results:
After intervention, the scores on cognitive ability, various nursing items, and QOL were significantly higher in EG than in RG (P < 0.001), and during the study, the total incidence rate of complications was significantly lower in EG than in RG (P < 0.05).Conclusion:
Combining an intelligent medical management platform with perioperative detailed nursing is a reliable method to improve QOL and reduce postoperative complications for patients undergoing hysterectomy. Further research will be conducive to providing a reliable perioperative intervention scheme for such patients.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Quality of Life
/
Hysterectomy
Type of study:
Experimental Studies
/
Observational study
/
Prognostic study
/
Randomized controlled trials
Limits:
Female
/
Humans
Language:
English
Journal:
Comput Math Methods Med
Journal subject:
Medical Informatics
Year:
2022
Document Type:
Article
Affiliation country:
2022
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