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Construction and Application of a Digital Postoperative Medical Quality Evaluation and Promotion System for Colorectal Cancer Based on the COLORECTUM+ Model

Status: Recruiting
Location: See location...
Intervention Type: Device
Study Type: Interventional
Study Phase: Not Applicable
SUMMARY

This is a single-center, prospective, interventional study. A total of 236 colorectal cancer patients who underwent surgery will be enrolled and followed for 52 weeks. The digital healthcare quality management system, based on the COLORECTUM+ model, will be used for post-treatment quality evaluation and continuous improvement. Patients will be managed using an Internet+ post-treatment healthcare management platform. The platform integrates AI technology for real-time symptom analysis and alerts. Patients will report symptoms and health data through the platform, which will generate alerts based on symptom severity to guide appropriate interventions. Follow-up assessments will include patient adherence, satisfaction, quality of life, and healthcare utilization. The study expects to demonstrate that the digital healthcare quality management system improves follow-up rates, enhances patient adherence, reduces unplanned hospital visits, and increases overall patient satisfaction. The findings aim to provide evidence for the implementation of digital management systems in colorectal cancer post-treatment care, potentially leading to improved long-term outcomes for patients.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:

• Over 18 years old.

• Pathologically confirmed colorectal cancer patients.

• Underwent surgery at the Colorectal Cancer Diagnosis and Treatment Center, Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine.

• Signed informed consent form.

Locations
Other Locations
China
Shanghai Jiao Tong University School of Medicine, Renji Hospital
RECRUITING
Shanghai
Contact Information
Primary
Xiaomiao Wang
wangxm0109@163.com
+8617843321256
Time Frame
Start Date: 2024-12-01
Estimated Completion Date: 2028-06-01
Participants
Target number of participants: 236
Treatments
Experimental: experimental group
Colorectal cancer patients enrolled in the 'Internet Plus' post-treatment management platform use the digital medical quality management system based on the 'COLORECTUM+' model for quality evaluation and continuous improvement. The platform integrates AI, using natural language processing and machine learning to analyze patient-reported symptoms, automatically assess severity, and generate alerts. Alerts are classified as yellow, orange, or red. Yellow indicates mild issues with self-care recommendations; consecutive yellow alerts prompt doctor contact within 24 hours. Orange indicates moderate severity, requiring doctor intervention within 24 hours. Red alerts signify serious symptoms or high-risk medication errors, prompting immediate notification of the doctor and emergency team. The system monitors symptom changes and updates alerts to support treatment optimization.
Related Therapeutic Areas
Sponsors
Leads: RenJi Hospital
Collaborators: Shanghai Shen Kang Hospital Development Center

This content was sourced from clinicaltrials.gov