Clinical Research Directory

Effectiveness of Intelligent Case Manage Platform in Liver Transplant Recipients

Sponsor: Chang Gung University

Summary

This study is a prospective, quasi-experimental design, with an experimental group and a control group, will be created. The aims of this study are as follows: 1. Describe the self-management and information needs of liver transplant recipients, 2. Create content or modules related to the self-management of liver transplant recipients, 3. Build an intelligent case management platform, 4. Evaluate the usability of the platform, and 5. Conduct deep learning and examine the effects of the intelligent case management platform on self-efficacy, self-management, health outcomes, and health-related quality of life. Data will be collected at discharge (baseline data) and 1, 3, 6, 9, and 12 months after discharge. An estimated 133 patients will be involved in this experiment: 44 in the experimental group and 89 in the control group. Statistical package software (SPSS 22.0) will be used to analyze the data. A generalized estimation equation model will examine the differences in self-efficacy, self-management, and health-related quality of life between the experimental and control groups. Survival analysis and the Kaplan-Meier method will be used to analyze health outcomes, including hospital readmission, emergency visits, episodes of infection and rejection of organs, and death.

Official title: Intelligent Case Manage Platform to Improve Self-management and Health-related Outcome Among Liver Transplant Recipients: Connection With Artificial Intelligence and Deep Learning

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