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Construction and Application of an Intelligent Module for Pressure Injury Nursing Management System
This is a study conducted in a hospital to evaluate whether applying an intelligent information technology can help nurses better prevent and manage bedsores (also known as pressure injuries) in hospitalized patients. Bedsores are a serious skin problem for patients who are bedridden for long periods. The researchers will compare the situation before and after using the intelligent program to see if it has an impact on the occurrence and outcomes of pressure injuries. We invite eligible hospitalized patients to participate. Participants' nursing data will be anonymously recorded and analyzed to evaluate the effectiveness of this intelligent program.
Background:Pressure injuries are common nursing complications in clinical practice, and their occurrence can reduce patients' quality of life, affect rehabilitation, and increase medical costs. This project aims to utilize information technology to build a comprehensive and intelligent pressure injury care management platform, providing scientific evidence for clinical decision-making and supporting standardized management of pressure injuries and improvement in nursing quality. Objective:To construct an intelligent module for the pressure injury nursing management system and to explore its application effects in pressure injury management. Methods:Based on the hospital nursing information system, an intelligent module was constructed to achieve functions such as intelligent decision-making for pressure injury risk assessment, intelligent staging judgment, visual online assessment and review, outcome tracking,and home care linkage, as well as monitoring quality control indicators.
Age
All ages
Sex
ALL
Healthy Volunteers
No
Xiamen Humanity Hospital
Xiamen, Fujian, China
Start Date
January 1, 2023
Primary Completion Date
December 31, 2024
Completion Date
December 31, 2024
Last Updated
October 6, 2025
75,263
ACTUAL participants
Lead Sponsor
Xiamen Humanity Hospital
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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View ClinicalTrials.gov Terms and ConditionsNCT04008160