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Updated: Jun 12, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
Published on: April 19, 2019
A conversational agent for enhanced Self-Management after cardiothoracic surgery
Ana Martins1, Luís Velez Lapão2, Isabel L Nunes3
1UNIDEMI, Department of Mechanical and Industrial Engineering, Nova School of Science and Technology, Caparica 2829-516, Portugal; Value for Health CoLAB, Lisboa 1150-190, Portugal.
A new conversational agent was developed to improve self-management for patients after cardiothoracic surgery. Pilot testing showed high usability, with suggestions for enhanced personalization and safety measures for future iterations.
Area of Science:
- Digital Health
- Artificial Intelligence in Healthcare
- Patient Self-Management
Background:
- Effective patient self-management is critical for long-term survival after cardiothoracic surgery.
- Current approaches may lack sufficient patient engagement and personalized support.
Purpose of the Study:
- To develop and evaluate a conversational agent designed to enhance patient self-management post-cardiothoracic surgery.
- To assess the feasibility, usability, and perceived effectiveness of the agent through pilot testing.
Main Methods:
- Design Science Research Methodology guided the development.
- A pilot study involved 4 patients receiving text messages for one month.
- Clinician focus groups evaluated acceptability and provided recommendations.
Main Results:
- The rule-based conversational agent demonstrated high usability in a pilot study.
- Patients received guidance on diet and physical activity.
- Suggestions included enhanced personalization and safety protocols for AI integration.
Conclusions:
- Conversational agents represent a significant advancement in post-cardiothoracic surgery care.
- Stakeholder input is vital for solution enrichment and sustainability.
- Future work should explore AI for personalized content delivery while prioritizing safety.
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