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临床试验/CTRI/2026/03/105627
CTRI/2026/03/105627暂停3 期

Effectiveness of nurse led AI powered cardiac chatbot in prevention and early detection of post-operative complications among CABG patients

Amrita Vishwa Vidyapeetham1 个研究点 分布在 1 个国家目标入组 700 人开始时间: 2026年4月10日最近更新:

试验速览

阶段
3 期
状态
暂停
入组人数
700
试验地点
1
主要终点
Reduced Complication Rate: A decrease in the occurrence of complications among patients using the chatbot.

研究概览

简要总结

Coronary artery bypass graft (CABG) surgery often leads to significant postoperative complications in ~15–30% of patients, and about 13% of CABG patients are readmitted within 30 days. Nurse-led interventions and novel technologies may improve early detection and management of these complications. In this study, we will evaluate a nurse-led AI-based “Smart CABGuard” chatbot designed for remote monitoring of CABG patients after discharge. In a randomized controlled trial at AIMS Kochi, adult CABG patients will be assigned to receive either standard postoperative care or additional support via the chatbot for 30 days. The primary endpoint is the 30-day postoperative complication rate (assessed by C-POMS). Secondary endpoints include 30-day readmission rate, time to any intervention prompted by the chatbot, patient morbidity scores at 30 days, and user satisfaction with the chatbot. AI-powered chatbots have been shown to enhance health care quality and efficiency this trial will test whether the nurse-led chatbot can safely reduce complications and readmissions in post-CABG care.

研究设计

研究类型
Interventional
分配方式
Randomized
盲法
None

入排标准

年龄范围
18.00 Year(s) 至 99.00 Year(s)(—)
性别
All

入选标准

  • Phase 1- Retrospective Cohort
  • Medical records of patients who underwent Coronary Artery Bypass Graft (CABG) surgery in 2020–2024 and were readmitted within 30 days following the procedure because of post-operative complications
  • Medical records of patients above 18yrs (Adults) Phase 2 & Phase 3
  • Patients undergoing Coronary Artery Bypass Graft (CABG) surgery willbe eligible for the study.
  • Patients above 18yrs (Adults).

排除标准

  • Phase 1- Retrospective Cohort
  • Medical records of patients who underwent CABG surgery combined with other procedures (eg: Cardiac valverepair, Aortic aneurism repair) in 2020–2024
  • Medical records of patients who underwent CABG surgery done in “ON PUMP” method in 2020–2024
  • Patient medical records having 50% or more missing information from patients who had Coronary Artery Bypass Graft (CABG) surgery between 2020 and 2024 Phase 2 & Phase 3
  • Patients undergoing elective Coronary Artery Bypass Graft (CABG) surgery
  • CABG done in “ON PUMP” method
  • Patients below 18 yrs (Adults).

结局指标

主要结局

Reduced Complication Rate: A decrease in the occurrence of complications among patients using the chatbot.

时间窗: Assessed at 7th , 14th, 21st and 30th days post-discharge (measured by the Cardiac Postoperative Morbidity Score [C-POMS] and clinical records).

Reduced Readmission Rate: Fewer hospital readmissions in the intervention group within 30 days post-CABG.

时间窗: Assessed at 7th , 14th, 21st and 30th days post-discharge (measured by the Cardiac Postoperative Morbidity Score [C-POMS] and clinical records).

Improved Patient Outcomes: Measured through lower Cardiac Post-Operative Morbidity Scores (C-POMS), showing the chatbot’s impact on health improvements.

时间窗: Assessed at 7th , 14th, 21st and 30th days post-discharge (measured by the Cardiac Postoperative Morbidity Score [C-POMS] and clinical records).

次要结局

  • Completion of Chatbot Development: A functional AI- powered cardiac chatbot designed to meet CABG patient needs for postoperative care.

研究者

申办方类型
Research institution and hospital
责任方
Principal Investigator
主要研究者

SALINI K

AMRITA INSTITUTE OF MEDICAL SCIENCES(AIMS)

研究点 (1)

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