Curious thing, an artificial intelligence (AI)-based conversational agent for COVID-19 patient management.

IF 1.2 4区 医学 Q4 HEALTH CARE SCIENCES & SERVICES Australian journal of primary health Pub Date : 2023-08-01 DOI:10.1071/PY22045
Josephine Sau Fan Chow, Victoria Blight, Marian Brown, Vanessa Glynn, Brian Lane, Amanda Larkin, Sonia Marshall, Prue Matthews, Mick Rowles, Bradley Warner
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引用次数: 1

Abstract

There are no clear guidelines or validated models for artificial intelligence (AI)-based approaches in the monitoring of coronavirus disease 2019 (COVID-19) patients who were isolated in the community, in order to identify early deterioration of their health symptoms. Developed in partnership with Curious Thing (CT), a Sydney-based AI conversational technology, a new care robot technology was introduced in South Western Sydney (SWS) in September 2021 to manage the large numbers of low-to-medium risk patients with a COVID-19 diagnosis and who were isolating at home. The CT interface made contact with patients via their mobile phone, following a locally produced script to obtain information recording physical condition, wellness and support. The care robot has engaged over 6323 patients between 2 September to 14 December 2021. The AI-assisted phone calls effectively identified the patients requiring further support, saved clinician time by monitoring less ailing patients remotely, and enabled them to spend more time on critically ill patients, thus ensuring that service and supply resources could be directed to those at greatest need. Engagement strategies had ensured stakeholders support of this technology to meet clinical and welfare needs of the identified patient group. Feedback from both the patients and healthcare staff was positive and had informed the ongoing formulation of a more patient-centred model of virtual care.

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奇怪的是,一个基于人工智能(AI)的会话代理,用于COVID-19患者管理。
基于人工智能(AI)的方法监测社区隔离的2019冠状病毒病(COVID-19)患者,以发现其健康症状的早期恶化,目前尚无明确的指导方针或经过验证的模型。与悉尼人工智能对话技术公司Curious Thing (CT)合作开发的新型护理机器人技术于2021年9月在悉尼西南部(SWS)推出,用于管理大量被诊断为COVID-19并在家中隔离的中低风险患者。CT接口通过患者的手机与他们联系,按照当地制作的脚本获取记录身体状况、健康和支持的信息。在2021年9月2日至12月14日期间,该护理机器人与6323多名患者进行了接触。人工智能辅助电话有效识别需要进一步支持的患者,通过远程监测病情较轻的患者,节省了临床医生的时间,使他们能够将更多时间花在危重患者身上,从而确保服务和供应资源能够用于最需要的患者。参与战略确保了利益相关者支持这项技术,以满足所确定的患者群体的临床和福利需求。患者和医护人员的反馈都是积极的,并为正在制定的更加以患者为中心的虚拟护理模式提供了信息。
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来源期刊
Australian journal of primary health
Australian journal of primary health 医学-公共卫生、环境卫生与职业卫生
CiteScore
2.20
自引率
15.40%
发文量
136
审稿时长
6-12 weeks
期刊介绍: Australian Journal of Primary Health integrates the theory and practise of community health services and primary health care. The journal publishes high-quality, peer-reviewed research, reviews, policy reports and analyses from around the world. Articles cover a range of issues influencing community health services and primary health care, particularly comprehensive primary health care research, evidence-based practice (excluding discipline-specific clinical interventions) and primary health care policy issues. Australian Journal of Primary Health is an important international resource for all individuals and organisations involved in the planning, provision or practise of primary health care. Australian Journal of Primary Health is published by CSIRO Publishing on behalf of La Trobe University.
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