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未来的患者体验是个性化的:利用技术扩展单病例研究方法。

The Patient Experience of the Future is Personalized: Using Technology to Scale an N of 1 Approach.

作者信息

Bucher Amy

机构信息

Lirio, Behavioral Reinforcement Learning Lab (BReLL), Knoxville, TN, USA.

出版信息

J Patient Exp. 2023 Apr 6;10:23743735231167975. doi: 10.1177/23743735231167975. eCollection 2023.

Abstract

Personalized experiences are more effective at creating sustained behavior change. Digitally enabled personalized outreach can improve patient's experience by providing relevant, meaningful calls to action at a time when labor-intensive human-to-human personalization is challenged by systemic health staffing shortages. Strategic use of digital tools to engage patients and supplement human-to-human care scale personalization to the benefit of patient and provider experience. Specifically, digital personalization can support: of patients eligible for a procedure, service, or outreach patients with a personalized call to actionAugmenting through the use of digital tools, and patient progress over time to ensure continued support.The technology to support a more personalized patient experience includes infrastructure to consolidate rich data, an intelligence capability to identify candidates for each call to action, and an engagement layer that presents patients with personalized output. Steps to develop and execute a personalization strategy are provided.

摘要

个性化体验在促成持续的行为改变方面更有效。数字化支持的个性化外展服务可以通过在劳动密集型的人际个性化服务受到系统性医疗人员短缺挑战之际提供相关、有意义的行动呼吁,来改善患者体验。战略性地使用数字工具来吸引患者并补充人际护理,可将个性化服务扩展到更大规模,从而有利于患者和提供者的体验。具体而言,数字个性化可以支持:对符合某项程序、服务条件的患者进行个性化行动呼吁,或对患者进行外展服务;通过使用数字工具增强并随着时间推移跟踪患者进展,以确保持续支持。支持更个性化患者体验的技术包括整合丰富数据的基础设施、识别每个行动呼吁候选对象的智能能力,以及向患者呈现个性化输出的互动层。文中还提供了制定和执行个性化策略的步骤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/664e/10084530/c4dc6831e062/10.1177_23743735231167975-fig1.jpg

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