AI-Personalized Discharge Education for Patients After Lung Cancer Surgery

NCT07827183 | Recruiting

• 2 other identifiers: AI-LUNG-RCT-2026-01SKJT2026-003
• Study Type: interventional
• Target: 156
• Locations: 1 country
• Sites: 1

Brief Summary

This randomized controlled trial evaluates the effect of artificial intelligence (AI)-personalized discharge education on discharge teaching quality and recovery outcomes in patients after lung cancer surgery. Eligible participants will be randomly assigned in a 1:1 ratio to either an intervention group or a control group. The control group will receive routine discharge education, including verbal instructions and a standardized printed discharge booklet. The intervention group will receive the same routine education plus an AI-generated personalized discharge guidance plan based on individual clinical and care-related information. All AI-generated content will be reviewed by a responsible nurse before being provided to participants. The primary outcome is the quality of discharge teaching measured on the day of discharge. Secondary outcomes include self-efficacy for postoperative rehabilitation management and quality of life assessed one month after discharge.

Conditions

Lung Cancer (Diagnosis)

Keywords

Artificial Intelligence; Personalized Discharge Education; Postoperative Recovery; Discharge Teaching; Self-Efficacy; Quality of Life

Outcome Measures

Primary Outcomes (1)

• Quality of Discharge Teaching Scale (QDTS) Total Score

  Discharge teaching quality will be assessed using the Quality of Discharge Teaching Scale (QDTS). The QDTS contains 24 items scored from 0 to 10, with a total score ranging from 0 to 240. Higher scores indicate better quality of discharge teaching.

  On the day of discharge, immediately after the intervention

Secondary Outcomes (2)

• Self-Efficacy for Postoperative Rehabilitation Management (SESPRM-LC) Total Score

  1 month after discharge

• Quality of Life Measured by the Functional Assessment of Cancer Therapy-Lung (FACT-L)

  1 month after discharge

Study Arms (2)

AI-Personalized Discharge Education

EXPERIMENTAL

Participants receive routine discharge education plus AI-personalized discharge guidance. The personalized guidance is generated based on individual clinical and care-related information and is reviewed by a responsible nurse before being provided to the participant or caregiver.

Behavioral: AI-Personalized Discharge Education; Behavioral: Routine Discharge Education

Routine Discharge Education

ACTIVE COMPARATOR

Participants receive routine discharge education, including verbal instructions from nursing staff and a standardized printed discharge education booklet covering medication use, wound care, respiratory exercises, physical activity, diet, follow-up, and related postoperative care.

Behavioral: Routine Discharge Education

Interventions

AI-Personalized Discharge Education BEHAVIORAL

Participants receive an individualized discharge guidance plan generated by an artificial intelligence system based on clinical and care-related information, including surgical approach, extent of lung resection, pain and dyspnea scores, comorbidities, discharge medications, home care conditions, educational level, smoking history, and postoperative complications. The guidance includes medication instructions, respiratory exercises, wound and activity management, follow-up planning, and warning signs requiring medical attention. All AI-generated content is reviewed by a responsible nurse before being provided to the participant or caregiver.

AI-Personalized Discharge Education

Routine Discharge Education BEHAVIORAL

Participants receive routine discharge education provided by nursing staff, including verbal instructions and a standardized printed discharge booklet covering medication use, wound care, respiratory exercises, physical activity, diet, follow-up, and other routine postoperative care.

AI-Personalized Discharge Education; Routine Discharge Education

Eligibility Criteria

• Age: 18 Years - 80 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Pathologically confirmed primary lung cancer and underwent radical lung cancer surgery by thoracoscopic or open approach, including lobectomy, pneumonectomy, or wedge resection.
• Age 18 to 80 years.
• Clinical stage I to III.
• No distant organ metastasis.
• Clinically stable after surgery, conscious, and able to perform basic listening, speaking, and reading activities, with planned discharge to home for recovery.
• The participant or primary caregiver is able to use a smartphone and WeChat.
• Able and willing to provide informed consent and voluntarily participate in the study.

You may not qualify if:

• Recurrent lung cancer or previous treatment with targeted therapy, chemotherapy, or radiotherapy.
• Severe aphasia, cognitive impairment (MMSE \<24), or psychiatric disorders that prevent independent completion of study questionnaires.
• Severe cardiac, hepatic, or renal dysfunction, or another malignant tumor.
• Severe postoperative complications requiring prolonged hospitalization, such as bronchopleural fistula or major bleeding.
• Participation in another interventional clinical study.
• Unable to complete the 1-month follow-up because of travel or residence outside the study area after discharge.

Sponsors & Collaborators

• Xiamen University: lead

Study Sites (1)

Siping Central People's Hospital

Siping, Jilin, 136000, China

RECRUITING

MeSH Terms

Conditions

Lung Neoplasms; Disease

Condition Hierarchy (Ancestors)

Respiratory Tract Neoplasms; Thoracic Neoplasms; Neoplasms by Site; Neoplasms; Lung Diseases; Respiratory Tract Diseases; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Officials

• Yang Liu, PhD

  Xiamen University

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Weiguang Zhou, Master's

CONTACT

+86 13624449503; 254402969@qq.com

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: OUTCOMES ASSESSOR
• Masking Details: Outcome assessors are blinded to group assignment. Due to the nature of the intervention, participants and nurses delivering the discharge education cannot be blinded. Data analysts will also remain unaware of group allocation during the primary analysis.
• Purpose: SUPPORTIVE CARE
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant Professor

Model Details: Participants are randomly assigned in a 1:1 ratio to either the AI-personalized discharge education group or the routine discharge education group.

Study Record Dates

• First Submitted: September 14, 2026
• First Posted: September 18, 2026
• Study Start: August 15, 2026
• Primary Completion (Estimated): October 15, 2026
• Study Completion (Estimated): November 15, 2026
• Last Updated: September 18, 2026

Record last verified: 2026-09

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)