COLORECTUM+ Digital System for Postoperative Quality Improvement in Colorectal Cancer

Condition(s) studied

Investigational drug(s) / intervention(s)

Mobile application follow-up: 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.

Study 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

Primary outcome measure(s)

• three-month follow-up rate — At 12 weeks after enrollment.
  Our mobile application aims to monitor the three-month follow-up rate for patients, assessing whether they adhere to the follow-up schedule as outlined，providing a streamlined approach to track post-discharge appointments. By utilizing real-time notifications and easy scheduling features, the app encourages patients to attend their follow-up visits, ensuring continuity of care. The application records and analyzes data on scheduled and completed appointments within three months post-discharge, offering insights into adherence rates and identifying factors impacting follow-up compliance. This data-driven approach helps healthcare providers improve patient outcomes and optimize follow-up strategies.

Trial sites (1)

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