Dwyer Tim, Hoit Graeme, Burns David, Higgins James, Chang Justin, Whelan Daniel, Kiroplis Irene, Chahal Jaskarndip
Women's College Hospital, Toronto, Canada.
Mount Sinai Hospital, Toronto, Canada.
Arthrosc Sports Med Rehabil. 2023 Mar 16;5(2):e495-e505. doi: 10.1016/j.asmr.2023.01.020. eCollection 2023 Apr.
The purpose of this study was to evaluate the use of an AI conversational agent during the postoperative recovery of patients undergoing elective hip arthroscopy.
Patients undergoing hip arthroscopy were enrolled in a prospective cohort for their first 6 weeks following surgery. Patients used standard SMS text messaging to interact with an artificial intelligence (AI) chatbot ("Felix") used to initiate automated conversations regarding elements of postoperative recovery. Patient satisfaction was measured at 6 weeks after surgery using a Likert scale survey. Accuracy was determined by measuring the appropriateness of chatbot responses, topic recognition, and examples of confusion. Safety was measured by evaluating the chatbot's responses to any questions with potential medical urgency.
Twenty-six patients were enrolled with a mean age of 36 years, and 58% ( = 15) were male. Overall, 80% of patients ( = 20) rated the helpfulness of Felix as good or excellent. In the postoperative period, 12/25 (48%) patients reported being worried about a complication but were reassured by Felix and, thus, did not seek medical attention. Of a total of 128 independent patient questions, Felix handled 101/128 questions appropriately (79%), either by addressing them independently, or facilitating contact with the care team. Felix was able to adequately answer the patient question independently 31% of the time ( = 40/128). Of 10 patient questions that were thought to potentially represent patient complications, in 3 cases Felix did not adequately address or recognize the health concern-none of these situations resulted in patient harm.
The results of this study demonstrate that the use of a chatbot or conversational agent can enhance the postoperative experience for hip arthroscopy patients, as demonstrated by high levels of patient satisfaction.
Level IV, therapeutic case series.
本研究旨在评估在接受择期髋关节镜手术患者的术后恢复过程中使用人工智能对话代理的情况。
接受髋关节镜手术的患者在术后的前6周被纳入前瞻性队列研究。患者使用标准短信文本与一个人工智能(AI)聊天机器人(“费利克斯”)进行交互,该聊天机器人用于发起有关术后恢复要素的自动对话。术后6周时,使用李克特量表调查来测量患者满意度。通过测量聊天机器人回复的恰当性、主题识别能力以及混淆示例来确定准确性。通过评估聊天机器人对任何具有潜在医疗紧急性问题的回复来衡量安全性。
26名患者入组,平均年龄36岁,58%(n = 15)为男性。总体而言,80%的患者(n = 20)将费利克斯的帮助程度评为良好或优秀。在术后期间,12/25(48%)的患者报告担心出现并发症,但费利克斯使其安心,因此他们未寻求医疗关注。在总共128个独立的患者问题中,费利克斯恰当地处理了101/128个问题(79%),要么独立解决这些问题,要么促进与护理团队的联系。费利克斯能够在31%的时间里(n = 40/128)独立充分回答患者问题。在10个被认为可能代表患者并发症的患者问题中,有3例费利克斯未充分处理或识别出健康问题——这些情况均未对患者造成伤害。
本研究结果表明,使用聊天机器人或对话代理可以提升髋关节镜手术患者的术后体验,患者满意度高即证明了这一点。
四级,治疗性病例系列。