CABG-AI-Supported Discharge Education
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: AI-Supported Individualized Discharge Education, Standard Discharge Education.
- Who it may be relevant to
- Registry conditions: Coronary Artery Disease, Postoperative Care, Patient Discharge, Recovery of Function. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Center list to be confirmed — check the primary protocol.
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Official title
The Effect of Artificial Intelligence-Supported Individualized Discharge Education on Postoperative Pain, Anxiety, Stress Response, Recovery, and Discharge Education Satisfaction in Patients Undergoing Coronary Artery Bypass Graft Surgery: A Randomized Controlled Trial
Overview
This randomized controlled trial will evaluate the effectiveness of artificial intelligence-supported individualized discharge education for patients undergoing coronary artery bypass graft (CABG) surgery. Participants will be assigned to either the intervention group, which will receive personalized AI-generated discharge education delivered through a nurse-avatar video in addition to standard verbal education, or the control group, which will receive standard discharge education only. The study will compare postoperative pain, anxiety, physiological stress response, recovery, and satisfaction with discharge education between the two groups. Outcomes will be measured during hospitalization and at the routine postoperative follow-up visit. The findings may help improve patient education methods and postoperative recovery in cardiac surgery patients.
Detailed description
Coronary artery bypass graft (CABG) surgery is a major cardiac procedure that requires structured discharge education to support patients' physical, psychological, and behavioral recovery after hospitalization. Traditional discharge teaching provided by nurses is often limited by time constraints, varying patient needs, and inconsistent information delivery. Recent advances in artificial intelligence (AI) offer new opportunities to provide individualized, understandable, and repetitive patient education that may enhance postoperative recovery.
This randomized controlled trial aims to evaluate the effectiveness of AI-supported individualized discharge education for patients undergoing CABG surgery. The intervention consists of a personalized discharge education script generated by an advanced large-language-model system (ChatGPT), structured according to 6 main topics and 24 sub-domains, and then converted into a nurse-avatar video. Patients in the intervention group will receive this AI-supported education in addition to the standard verbal discharge education provided by cardiovascular surgery nurses. Patients in the control group will receive only the standard discharge education based on current hospital protocols.
The study will assess multiple postoperative outcomes, including pain intensity, anxiety levels, physiological stress response (cortisol, adrenaline, noradrenaline, ACTH, glucose, and insulin), recovery after discharge using a validated surgical recovery scale, and satisfaction with discharge education. Measurements will be collected at four time points: the day before discharge, the morning of discharge before education, immediately after the completion of discharge education, and at the routine postoperative follow-up visit.
A total of 128 participants will be randomized into two groups using block randomization stratified by sex. All data will be collected using validated scales and standardized laboratory procedures. This study is expected to provide evidence on whether AI-supported discharge education can improve postoperative recovery, reduce stress and anxiety, and increase satisfaction among CABG patients. The results may contribute to the development of innovative, technology-enhanced education models for surgical patients and support the integration of AI tools into nursing practice.
Interventions
- Behavioral AI-Supported Individualized Discharge Education
This intervention consists of personalized discharge education generated by an advanced artificial intelligence system (ChatGPT) based on the patient's clinical, social, and psychosocial characteristics. The content is structured into 6 main topics and 24 sub-sections. The script is converted into a nurse-avatar video and delivered to the patient via a mobile device. This intervention is provided in addition to the standard verbal discharge education routinely given by cardiovascular surgery nur - Behavioral Standard Discharge Education
This intervention consists of routine verbal discharge education provided by cardiovascular surgery nurses according to standard hospital protocols. It includes essential postoperative instructions, medication guidance, wound care instructions, activity recommendations, and follow-up information. No AI-generated or video-based educational materials are provided in this intervention.
Primary outcome measures
- Pain Intensity [Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge]
- Anxiety Level [Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge]
- Serum Cortisol Level [Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge]
- Postoperative Recovery [Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge]
- Satisfaction with Discharge Education [Time frame: Pre-discharge (within 24 hours before discharge) and 4 weeks (±3 days) post-discharge]
- Blood Pressure - Systolic [Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge]
- Blood Pressure - Diastolic [Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge]
- Respiratory Rate [Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge]
- Oxygen Saturation (SpO₂) [Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge]
- Body Temperature [Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge]
Secondary outcome measures (1)
- Heart Rate [Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge]
Eligibility criteria
Inclusion criteria
- Patients who have undergone coronary artery bypass graft (CABG) surgery.
- Age 18 years or older.
- Hemodynamically stable at the time of enrollment.
- Able to understand and communicate in Turkish.
- Able to use or have access to a mobile phone capable of viewing the educational video.
- Able to provide informed consent.
- Scheduled for routine postoperative follow-up at the study hospital.
Exclusion criteria
- Patients undergoing emergency CABG surgery.
- Presence of severe cognitive impairment that prevents understanding or following instructions.
- Diagnosed psychiatric disorders (e.g., schizophrenia, severe depression) that interfere with study participation.
- Severe vision or hearing impairment that prevents receiving the education.
- Presence of postoperative complications requiring intensive care readmission.
- Patients with endocrine disorders affecting stress biomarkers (e.g., Cushing's syndrome, Addison's disease).
- Chronic use of corticosteroids or medications that significantly alter cortisol levels.
- Patients who decline to participate or withdraw consent.
- Patients who are unable to complete follow-up assessments.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Open label
- Primary purpose
- Supportive care
Study locations
Center list to be confirmed — check the primary protocol.
Publications
- Ronaldson S., et al. (2022). Patient-centered education in postoperative cardiac care: A systematic review. Heart & Lung, 55, 54-62.
- Akbari M., Çelik S. (2015). Effects of nurse-led discharge training on anxiety and recovery in surgical patients. Journal of Perioperative Nursing, 28(4), 215-223.
- Minami K., et al. (2020). Effects of discharge education on postoperative recovery in cardiac surgery patients. European Journal of Cardiovascular Nursing, 19(7), 660-668.
- Hwang B., et al. (2023). Artificial intelligence in patient education: A scoping review. Patient Education and Counseling, 112, 107-115.
- Fredericks S, Guruge S, Sidani S, Wan T. Postoperative patient education: a systematic review. Clin Nurs Res. 2010 May;19(2):144-64. doi: 10.1177/1054773810365994. PMID 20435785
Identifiers
NCT: NCT07503678 · SBUVAN-KABG-AI-DISCHARGE-EDU-0