Abstract

Background and objectives Patient–clinician communication and shared decision-making face challenges in the perioperative period. Chatbots have emerged as valuable support tools in perioperative care. A simultaneous and complete comparison of overall benefits and harm of chatbot application is conducted. Materials MEDLINE, EMBASE and the Cochrane Library were systematically searched for studies published before May 2023 on the benefits and harm of chatbots used in the perioperative period. The major outcomes assessed were patient satisfaction and knowledge acquisition. Untransformed proportion (PR) with a 95% CI was used for the analysis of continuous data. Risk of bias was assessed using the Cochrane Risk of Bias assessment tool version 2 and the Methodological Index for Non-Randomised Studies. Results Eight trials comprising 1073 adults from four countries were included. Most interventions (n = 5, 62.5%) targeted perioperative care in orthopaedics. Most interventions use rule-based chatbots (n = 7, 87.5%). This meta-analysis found that the majority of the participants were satisfied with the use of chatbots (mean proportion=0.73; 95% CI: 0.62 to 0.85), and agreed that they gained knowledge in their perioperative period (mean proportion=0.80; 95% CI: 0.74 to 0.87). Conclusion This review demonstrates that perioperative chatbots are well received by the majority of patients with no reports of harm to-date. Chatbots may be considered as an aid in perioperative communication between patients and clinicians and shared decision-making. These findings may be used to guide the healthcare providers, policymakers and researchers for enhancing perioperative care.

Original languageEnglish
Article number100985
JournalBMJ Health and Care Informatics
Volume31
Issue number1
DOIs
Publication statusPublished - Jul 20 2024

Keywords

  • Artificial intelligence
  • Decision Making, Computer-Assisted
  • Health Communication
  • Internet-Based Intervention
  • Medical Informatics Applications

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics
  • Health Information Management

Fingerprint

Dive into the research topics of 'Perioperative application of chatbots: a systematic review and meta-analysis'. Together they form a unique fingerprint.

Cite this