Postoperative Pulmonary ComplicationsNCT07889557
AI-Assisted Education Before Surgery to Prevent Lung Complications in Older Surgical Patients
A study testing Artificial Intelligence-Assisted Preoperative Patient Education in people with Postoperative Pulmonary Complications, run by Hilal KAHRAMAN at 1 site in Turkey (Türkiye).
Trial summary
This study aims to determine whether preoperative patient education prepared with the assistance of artificial intelligence can reduce lung complications after major abdominal surgery in older patients. A total of 242 patients will be randomly assigned to an education group or a usual care group. Read more about this study
- Who is it for?
- Ages 65 years and older
- Conditions the study is for
- Postoperative Pulmonary Complications
- What is being tested?
- Artificial Intelligence-Assisted Preoperative Patient Education
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 242 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 30 Oct 2026to Jun 2027
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 65 years and older
- All sexes
- No healthy volunteers
- Older adult
Who may be able to join
- Aged 65 years or older.
- Able to read and write.
- Scheduled for elective major abdominal surgery for colorectal, gastric, or pancreatic cancer.
- Willing to participate and provide written informed consent.
Who cannot join
- Undergoing reoperation due to a surgical complication.
- Communication difficulties associated with dementia, Alzheimer's disease, or intellectual disability.
- Visual impairment.
- Hearing impairment.
- Unable to speak Turkish.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Turkey (Türkiye)1 site
Erciyes University Health Application and Research Center, General Surgery Clinic
Kayseri, Kayseri, 38030
Hilal KAHRAMAN, PhD, +905308510084, hilalcetin@erciyes.edu.tr
About this study
Official title: Effect of Artificial Intelligence-Assisted Preoperative Patient Education on the Prevention of Pulmonary Complications in Geriatric Surgical Patients
This study aims to determine whether preoperative patient education prepared with the assistance of artificial intelligence can reduce lung complications after major abdominal surgery in older patients.
A total of 242 patients will be randomly assigned to an education group or a usual care group. Patients in the education group will receive education from a researcher at least 24 hours before surgery, using educational materials developed with artificial intelligence and reviewed by experts. Their questions will be answered, and they will receive a printed copy of the educational material. Patients in the usual care group will receive standard nursing care.
Both groups will be assessed before surgery and on postoperative days 1, 3, 7, and 30. Follow-up assessments will be conducted face-to-face during hospitalization and by telephone after discharge. The researcher assessing postoperative complications will not know which group patients have been assigned to. The occurrence of postoperative lung complications will be compared between the two groups.
Read the detailed description
This single-center, randomized controlled trial will evaluate the effect of artificial intelligence-assisted preoperative patient education on postoperative pulmonary complications in patients aged 65 years and older undergoing major abdominal surgery at Erciyes University Health Application and Research Center in Kayseri, Türkiye.
Educational content will be developed using ChatGPT and converted into an illustrated patient education material. Before clinical use, the material will be assessed for readability and reviewed by 10 surgical nursing experts using the Patient Education Materials Assessment Tool for Printable Materials (PEMAT-P).
Participants will be assigned to the intervention or control group using a computer-generated simple randomization sequence. A researcher will obtain written informed consent and deliver the educational intervention. A separate researcher, unaware of group allocation, will collect baseline data and assess postoperative complications.
Participants in the intervention group will receive preoperative education at least 24 hours before surgery using the prepared educational material. Their questions will be answered, and a printed copy of the material will be provided. Participants in the control group will receive standard nursing care without the study-specific educational intervention.
Baseline demographic and clinical characteristics will be recorded, including preoperative oxygen saturation and the ARISCAT score for postoperative pulmonary risk assessment. Postoperative pulmonary and other surgical complications will be recorded using a structured complication follow-up form on postoperative days 1, 3, 7, and 30. Assessments will be conducted face-to-face during hospitalization and by telephone after discharge.
- Conditions
- Postoperative Pulmonary Complications
- Being tested
- Artificial Intelligence-Assisted Preoperative Patient Education
- Keywords
- Artificial Intelligence, Preoperative Education, Patient Education, Older Adults, Major Abdominal Surgery, Nursing Care
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Artificial Intelligence-Assisted Preoperative Patient EducationBehavioural
A researcher will provide face-to-face patient education at least 24 hours before major abdominal surgery using an illustrated educational material developed with the assistance of ChatGPT and reviewed by surgical nursing experts before use. The education will focus on preventing postoperative pulmonary complications. Participants' questions will be answered, and a printed copy of the material will be provided for further reference.
| Study group | Role | What they receive |
|---|---|---|
| AI-Assisted Preoperative Education | Experimental | Participants will receive preoperative patient education at least 24 hours before surgery using educational materials prepared with artificial intelligence and reviewed by experts. A researcher will deliver the education, answer participants' questions, and provide a printed copy of the material. Receives: Behavioral: Artificial Intelligence-Assisted Preoperative Patient Education |
| Standard Care | No intervention | Participants will receive standard nursing care provided in the general surgery clinic. No study-specific educational intervention or educational material will be provided to this group. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Proportion of Participants With at Least One Postoperative Pulmonary Complication
The proportion of participants who develop at least one postoperative pulmonary complication within 30 days after surgery. Events recorded on the researcher-developed Postoperative Complication Follow-up Form include atelectasis, pneumonia, respiratory failure, pleural effusion, pneumothorax, pulmonary embolism, pulmonary edema, reintubation, acute respiratory distress syndrome, aspiration pneumonia, respiratory tract infection, and bronchospasm. The postoperative day of occurrence will be recorded. Assessments will be performed by a researcher blinded to group allocation on postoperative days 1, 3, 7, and 30, through face-to-face interviews during hospitalization and telephone interviews after discharge.Participants' reported symptoms will be evaluated by a physician, who will determine whether a postoperative pulmonary complication is present.
Measured: Within 30 days after surgery
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted22 Oct 2026
- Study start30 Oct 2026 (estimated)
- Primary completionJun 2027 (estimated)
- Study completionJun 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Postoperative Pulmonary ComplicationsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- Participants will be randomly assigned to one of two parallel groups: artificial intelligence-assisted preoperative patient education or standard nursing care. Both groups will be followed through postoperative day 30.
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 242 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Hilal KAHRAMAN
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor-investigator, Hilal KAHRAMAN, TC Erciyes University
- Investigators
- Hilal KAHRAMAN, Principal investigator, TC Erciyes University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07889557
- Sponsor's protocol ID
- ERU-AI-PREOP-01
- Status last verified
- Oct 2026
- First submitted
- 16 Oct 2026
- Last updated
- 22 Oct 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided: There is currently no plan to share individual participant data.
Study at a glance
From the registry record, last updated by the sponsor on 22 Oct 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Effect of Artificial Intelligence-Assisted Preoperative Patient Education on the Prevention of Pulmonary Complications in Geriatric Surgical Patients
- ClinicalTrials.gov ID
- NCT07889557
- Acronym / sponsor ID
- ERU-AI-PREOP-01
- Conditions
- Postoperative Pulmonary Complications
- Keywords
- Artificial Intelligence, Preoperative Education, Patient Education, Older Adults, Major Abdominal Surgery, Nursing Care
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 242 participants (estimated)
- Lead sponsor
- Hilal KAHRAMANUniversity, hospital or other
- Study start
- 30 Oct 2026 (estimated)
- Primary completion
- Jun 2027 (estimated)
- Study completion
- Jun 2027 (estimated)
- First posted
- 22 Oct 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study aims to determine whether preoperative patient education prepared with the assistance of artificial intelligence can reduce lung complications after major abdominal surgery in older patients.
A total of 242 patients will be randomly assigned to an education group or a usual care group. Patients in the education group will receive education from a researcher at least 24 hours before surgery, using educational materials developed with artificial intelligence and reviewed by experts. Their questions will be answered, and they will receive a printed copy of the educational material. Patients in the usual care group will receive standard nursing care.
Both groups will be assessed before surgery and on postoperative days 1, 3, 7, and 30. Follow-up assessments will be conducted face-to-face during hospitalization and by telephone after discharge. The researcher assessing postoperative complications will not know which group patients have been assigned to. The occurrence of postoperative lung complications will be compared between the two groups.
Detailed description
This single-center, randomized controlled trial will evaluate the effect of artificial intelligence-assisted preoperative patient education on postoperative pulmonary complications in patients aged 65 years and older undergoing major abdominal surgery at Erciyes University Health Application and Research Center in Kayseri, Türkiye.
Educational content will be developed using ChatGPT and converted into an illustrated patient education material. Before clinical use, the material will be assessed for readability and reviewed by 10 surgical nursing experts using the Patient Education Materials Assessment Tool for Printable Materials (PEMAT-P).
Participants will be assigned to the intervention or control group using a computer-generated simple randomization sequence. A researcher will obtain written informed consent and deliver the educational intervention. A separate researcher, unaware of group allocation, will collect baseline data and assess postoperative complications.
Participants in the intervention group will receive preoperative education at least 24 hours before surgery using the prepared educational material. Their questions will be answered, and a printed copy of the material will be provided. Participants in the control group will receive standard nursing care without the study-specific educational intervention.
Baseline demographic and clinical characteristics will be recorded, including preoperative oxygen saturation and the ARISCAT score for postoperative pulmonary risk assessment. Postoperative pulmonary and other surgical complications will be recorded using a structured complication follow-up form on postoperative days 1, 3, 7, and 30. Assessments will be conducted face-to-face during hospitalization and by telephone after discharge.
Study design
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (outcomes assessor)
- Number of arms
- 2
- Model description
- Participants will be randomly assigned to one of two parallel groups: artificial intelligence-assisted preoperative patient education or standard nursing care. Both groups will be followed through postoperative day 30.
| Arm | Type | Receives |
|---|---|---|
| AI-Assisted Preoperative Education | Experimental | Behavioral: Artificial Intelligence-Assisted Preoperative Patient EducationParticipants will receive preoperative patient education at least 24 hours before surgery using educational materials prepared with artificial intelligence and reviewed by experts. A researcher will deliver the education, answer participants' questions, and provide a printed copy of the material. |
| Standard Care | No intervention | –Participants will receive standard nursing care provided in the general surgery clinic. No study-specific educational intervention or educational material will be provided to this group. |
Who may qualify
- Ages
- 65 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Older adult
Key inclusion criteria (4 listed)
- Aged 65 years or older.
- Able to read and write.
- Scheduled for elective major abdominal surgery for colorectal, gastric, or pancreatic cancer.
- Willing to participate and provide written informed consent.
Key exclusion criteria (5 listed)
- Undergoing reoperation due to a surgical complication.
- Communication difficulties associated with dementia, Alzheimer's disease, or intellectual disability.
- Visual impairment.
- Hearing impairment.
- Unable to speak Turkish.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Artificial Intelligence-Assisted Preoperative Patient EducationA researcher will provide face-to-face patient education at least 24 hours before major abdominal surgery using an illustrated educational material developed with the assistance of ChatGPT and reviewed by surgical nursing experts before use. The education will focus on preventing postoperative pulmonary complications. Participants' questions will be answered, and a printed copy of the material will be provided for further reference. | Behavioural | AI-Assisted Preoperative Education |
Primary outcome
Proportion of Participants With at Least One Postoperative Pulmonary Complication
Time frame: Within 30 days after surgery
The proportion of participants who develop at least one postoperative pulmonary complication within 30 days after surgery. Events recorded on the researcher-developed Postoperative Complication Follow-up Form include atelectasis, pneumonia, respiratory failure, pleural effusion, pneumothorax, pulmonary embolism, pulmonary edema, reintubation, acute respiratory distress syndrome, aspiration pneumonia, respiratory tract infection, and bronchospasm. The postoperative day of occurrence will be recorded. Assessments will be performed by a researcher blinded to group allocation on postoperative days 1, 3, 7, and 30, through face-to-face interviews during hospitalization and telephone interviews after discharge.Participants' reported symptoms will be evaluated by a physician, who will determine whether a postoperative pulmonary complication is present.
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 22 Oct 2026.
- Individual participant dataSharing planned: Undecided. There is currently no plan to share individual participant data.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Erciyes University Health Application and Research Center, General Surgery Clinic
Kayseri, Turkey (Türkiye)
Hilal KAHRAMAN principal investigator
TC Erciyes University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Artificial Intelligence-Assisted Preoperative Patient Education in people with Postoperative Pulmonary Complications, run by Hilal KAHRAMAN at 1 site in Turkey (Türkiye).
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 22 Oct 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Turkey (Türkiye). Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Each site lists its own contact: choose the nearest one under Trial locations. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Proportion of Participants With at Least One Postoperative Pulmonary Complication (time frame: Within 30 days after surgery). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 22 Oct 2026.