在儿科骨折诊断中使用人工智能的患者接受度调查:一项观察性研究。

IF 1.1 4区 医学 Q3 SURGERY Annals of the Royal College of Surgeons of England Pub Date : 2024-11-01 Epub Date: 2024-03-13 DOI:10.1308/rcsann.2024.0008
Fhg Roberts, Trw Roberts, Y Gelfer, C Hing
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引用次数: 0

摘要

简介本研究旨在评估护理人员对使用人工智能(AI)治疗儿科患者骨折的态度。随着骨折门诊服务面临越来越大的压力,需要创新的解决方案来应对不断增长的需求。人工智能程序可用于诊断骨折,但患者对其使用的看法尚不确定:我们对在一家三级医疗中心骨折门诊就诊的儿科患者的护理人员进行了横断面调查,结合了单选最佳答案问题和李克特(Likert)型问题。我们调查了患者对急诊科(ED)临床检查的看法、为到骨折诊所就诊而中断学业的情况以及对人工智能的态度:在参与研究的儿科骨折患者中,45%的患者在两小时内就诊,29%的患者在两到四小时内就诊,26%的患者在四小时后就诊;75%的患者由护士和医生共同诊治,16%的患者仅由护士诊治,9%的患者仅由医生诊治。共有 61% 的儿童需要请假才能就诊,59% 的家长需要请假。在所有受访者中,56%的受访者认为需要开展更多研究以缩短等待时间,76%的受访者希望由护士或医生来查看孩子的X光片,64%的受访者乐于让人工智能程序来诊断孩子的骨折,82%的受访者乐于让人工智能程序作为临床医生诊断的辅助工具:结论:照护者对在这种情况下使用人工智能的看法是积极的。结论:照护者对人工智能在这一领域的应用持积极态度,但他们尚未准备好将人工决策权交给自动化系统。
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A survey of patient acceptability of the use of artificial intelligence in the diagnosis of paediatric fractures: an observational study.

Introduction: This study aimed to assess carer attitudes towards the use of artificial intelligence (AI) in management of fractures in paediatric patients. As fracture clinic services come under increasing pressure, innovative solutions are needed to combat rising demand. AI programs can be used to diagnosis fractures, but patient perceptions towards its use are uncertain.

Methods: We conducted a cross-sectional survey of carers of paediatric patients presenting to fracture clinic at a tertiary care centre, combining single-best-answer questions and Likert-type questions. We investigated patient perception of clinical review in the emergency department (ED), disruption to school to attend fracture clinic, and attitudes towards AI.

Results: Of the paediatric fracture patients participating in this study, 45% were seen within two hours, 29% were seen between two and four hours, and 26% were seen after four hours; 75% were seen by both a nurse and a doctor, 16% were seen only by a nurse and 9% only by a doctor. A total of 61% of children had to take time off school for their appointment and 59% of parents had to take time off. Of all respondents, 56% agreed that more research is needed to reduce waiting times, 76% preferred a nurse or doctor to review their child's radiograph, 64% were happy for an AI program to diagnose their child's fracture, and 82% were happy with an AI program being used as an adjunct to a clinician's diagnosis.

Conclusions: Carer perceptions towards the use of AI in this setting are positive. However, they are not yet ready to relinquish human decision making to automated systems.

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来源期刊
CiteScore
2.40
自引率
0.00%
发文量
316
期刊介绍: The Annals of The Royal College of Surgeons of England is the official scholarly research journal of the Royal College of Surgeons and is published eight times a year in January, February, March, April, May, July, September and November. The main aim of the journal is to publish high-quality, peer-reviewed papers that relate to all branches of surgery. The Annals also includes letters and comments, a regular technical section, controversial topics, CORESS feedback and book reviews. The editorial board is composed of experts from all the surgical specialties.
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