Conversational Engagement Using a Short Message Service Chatbot After Total Joint Arthroplasty.

ABSTRACT:

Background

Utilizing conversational analytics in orthopaedic surgery may provide insights into patients' experiences and outcomes. This study retrospectively assessed how patients interacted with a perioperative chatbot and whether the topic of patients' queries could offer insight on their outcomes after total knee or hip arthroplasty.

Methods

We identified 1338 patients (746 knees and 592 hips) who enrolled in a short message service chatbot from 2020-2022 with greater than 3 months of follow-up. The total number and topics of patient-generated text responses to the chatbot were recorded. Independent t-tests, chi-squared tests, and linear regressions were performed to determine if specific patient-generated responses to the chatbot or overall chatbot engagement were

SUBMITTER: Rainey JP 

PROVIDER: S-EPMC11526051 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature