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敏捷实施:实施基于证据的医疗保健解决方案蓝图。

Agile Implementation: A Blueprint for Implementing Evidence-Based Healthcare Solutions.

机构信息

Center for Health Innovation and Implementation Science, Indiana Clinical Translational Science Institute, Indiana University, Indianapolis, Indiana.

Sandra Eskenazi Center for Brain Care Innovation, Eskenazi Health, Indianapolis, Indiana.

出版信息

J Am Geriatr Soc. 2018 Jul;66(7):1372-1376. doi: 10.1111/jgs.15283. Epub 2018 Mar 7.

DOI:10.1111/jgs.15283
PMID:29513360
Abstract

OBJECTIVES

To describe the essential components of an Agile Implementation (AI) process, which rapidly and effectively implements evidence-based healthcare solutions, and present a case study demonstrating its utility.

DESIGN

Case demonstration study.

SETTING

Integrated, safety net healthcare delivery system in Indianapolis.

PARTICIPANTS

Interdisciplinary team of clinicians and administrators.

MEASUREMENTS

Reduction in dementia symptoms and caregiver burden; inpatient and outpatient care expenditures.

RESULTS

Implementation scientists were able to implement a collaborative care model for dementia care and sustain it for more than 9 years. The model was implemented and sustained by using the elements of the AI process: proactive surveillance and confirmation of clinical opportunities, selection of the right evidence-based healthcare solution, localization (i.e., tailoring to the local environment) of the selected solution, development of an evaluation plan and performance feedback loop, development of a minimally standardized operation manual, and updating such manual annually.

CONCLUSION

The AI process provides an effective model to implement and sustain evidence-based healthcare solutions.

摘要

目的

描述一种敏捷实施(AI)流程的基本组成部分,该流程可快速有效地实施基于证据的医疗保健解决方案,并通过案例研究展示其效用。

设计

案例演示研究。

设置

印第安纳波利斯的综合、安全网医疗服务提供系统。

参与者

临床医生和管理人员组成的跨学科团队。

测量

痴呆症症状和照顾者负担的减少;住院和门诊护理支出。

结果

实施科学家能够为痴呆症护理实施并维持了超过 9 年的协作式护理模式。该模型通过使用 AI 流程的要素来实施和维持:积极主动地监测和确认临床机会,选择正确的基于证据的医疗保健解决方案,对选定的解决方案进行本地化(即,适应当地环境),制定评估计划和绩效反馈循环,制定最小标准化操作手册,并每年更新该手册。

结论

AI 流程为实施和维持基于证据的医疗保健解决方案提供了一种有效的模型。

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