A Blueprint for ‘Care-Centred AI’: Placing patients and caregivers at the forefront of academic medicine’s AI strategy

James J. Ress, Sara Edwards
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Abstract

Artificial Intelligence (AI) promises to revolutionise how healthcare organisations serve patients but harnessing this technology to design better services is fraught with unknowns and confounders. This is particularly true at academic medical centres, where orchestrating care is complex. To help leaders and clinicians at academic medical centres consider, develop and roll out AI-enabled services, we are proposing a blueprint called ‘Care- Centred AI’ (CCAI). This framework reimagines technology’s place in the delivery of complex care and reprioritises the patient-caregiver relationship in care delivery. Furthermore, the CCAI framework takes into account the strategic importance of leveraging data in an ethical way to further enable innovation and care across clinical pathways and operational value chains.
以护理为中心的人工智能 "蓝图:将患者和护理人员置于学术医学人工智能战略的最前沿
人工智能(AI)有望彻底改变医疗机构为患者提供服务的方式,但利用这项技术设计更好的服务充满了未知数和干扰因素。这一点在学术医疗中心尤为明显,因为那里的护理工作十分复杂。为了帮助学术医疗中心的领导者和临床医生考虑、开发和推广人工智能服务,我们提出了一个名为 "以护理为中心的人工智能"(CCAI)的蓝图。该框架重新规划了技术在提供复杂护理服务中的位置,并重新确定了护理服务中患者与护理人员关系的优先次序。此外,CCAI 框架还考虑到了以合乎道德的方式利用数据的战略重要性,从而进一步推动临床路径和运营价值链的创新和护理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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