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本文引用的文献

1
Extending an open-source tool to measure data quality: case report on Observational Health Data Science and Informatics (OHDSI).扩展一个用于测量数据质量的开源工具:观察性健康数据科学与信息学(OHDSI)案例报告
BMJ Health Care Inform. 2020 Mar;27(1). doi: 10.1136/bmjhci-2019-100054.
2
An overview of clinical decision support systems: benefits, risks, and strategies for success.临床决策支持系统概述:益处、风险及成功策略。
NPJ Digit Med. 2020 Feb 6;3:17. doi: 10.1038/s41746-020-0221-y. eCollection 2020.
3
Level of agreement on health information technology adoption and use in survey data: a mixed-methods analysis of ambulatory clinics in 1 US state.调查数据中健康信息技术采用与使用的一致性水平:对美国一个州门诊诊所的混合方法分析
JAMIA Open. 2019 Mar 7;2(2):231-237. doi: 10.1093/jamiaopen/ooz004. eCollection 2019 Jul.
4
Health information technology for ambulatory care in health systems.卫生系统中门诊护理的健康信息技术。
Am J Manag Care. 2020 Jan;26(1):32-38. doi: 10.37765/ajmc.2020.42143.
5
Experience in Developing an FHIR Medical Data Management Platform to Provide Clinical Decision Support.开发 FHIR 医疗数据管理平台以提供临床决策支持的经验。
Int J Environ Res Public Health. 2019 Dec 20;17(1):73. doi: 10.3390/ijerph17010073.
6
Understanding U.S. Health Systems: Using Mixed Methods to Unpack Organizational Complexity.理解美国医疗系统:运用混合方法剖析组织复杂性。
EGEMS (Wash DC). 2019 Aug 2;7(1):39. doi: 10.5334/egems.302.
7
Artificial intelligence to support clinical decision-making processes.支持临床决策过程的人工智能。
EBioMedicine. 2019 Aug;46:27-29. doi: 10.1016/j.ebiom.2019.07.019. Epub 2019 Jul 11.
8
Medication safety alert fatigue may be reduced via interaction design and clinical role tailoring: a systematic review.药物安全警示疲劳可通过交互设计和临床角色定制来减轻:系统评价。
J Am Med Inform Assoc. 2019 Oct 1;26(10):1141-1149. doi: 10.1093/jamia/ocz095.
9
Artificial Intelligence in Clinical Decision Support: Challenges for Evaluating AI and Practical Implications.临床决策支持中的人工智能:评估人工智能的挑战及实际意义
Yearb Med Inform. 2019 Aug;28(1):128-134. doi: 10.1055/s-0039-1677903. Epub 2019 Apr 25.
10
Key Factors Affecting the Adoption of Telemedicine by Ambulatory Clinics: Insights from a Statewide Survey.影响流动诊所采用远程医疗的关键因素:全州调查的见解。
Telemed J E Health. 2020 Feb;26(2):218-225. doi: 10.1089/tmj.2018.0114. Epub 2019 Mar 15.

在门诊护理中使用临床决策支持的障碍:卫生系统中的诊所表现更好吗?

Barriers to using clinical decision support in ambulatory care: Do clinics in health systems fare better?

机构信息

Department of Health Policy and Administration, The Pennsylvania State University, University Park, Pennsylvania, USA.

RAND Corporation, Boston, Massachusetts, USA.

出版信息

J Am Med Inform Assoc. 2021 Jul 30;28(8):1667-1675. doi: 10.1093/jamia/ocab064.

DOI:10.1093/jamia/ocab064
PMID:33895828
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8324224/
Abstract

OBJECTIVE

We quantify the use of clinical decision support (CDS) and the specific barriers reported by ambulatory clinics and examine whether CDS utilization and barriers differed based on clinics' affiliation with health systems, providing a benchmark for future empirical research and policies related to this topic.

MATERIALS AND METHODS

Despite much discussion at the theoretic level, the existing literature provides little empirical understanding of barriers to using CDS in ambulatory care. We analyze data from 821 clinics in 117 medical groups, based on in Minnesota Community Measurement's annual Health Information Technology Survey (2014-2016). We examine clinics' use of 7 CDS tools, along with 7 barriers in 3 areas (resource, user acceptance, and technology). Employing linear probability models, we examine factors associated with CDS barriers.

RESULTS

Clinics in health systems used more CDS tools than did clinics not in systems (24 percentage points higher in automated reminders), but they also reported more barriers related to resources and user acceptance (26 percentage points higher in barriers to implementation and 33 points higher in disruptive alarms). Barriers related to workflow redesign increased in clinics affiliated with health systems (33 points higher). Rural clinics were more likely to report barriers to training.

CONCLUSIONS

CDS barriers related to resources and user acceptance remained substantial. Health systems, while being effective in promoting CDS tools, may need to provide further assistance to their affiliated ambulatory clinics to overcome barriers, especially the requirement to redesign workflow. Rural clinics may need more resources for training.

摘要

目的

我们量化了临床决策支持(CDS)的使用情况以及门诊诊所报告的具体障碍,并研究了 CDS 的使用和障碍是否因诊所与医疗系统的隶属关系而有所不同,为未来与该主题相关的实证研究和政策提供了基准。

材料和方法

尽管在理论层面上进行了大量讨论,但现有文献对门诊护理中使用 CDS 的障碍仅有很少的实证理解。我们分析了明尼苏达州社区测量年度健康信息技术调查(2014-2016 年)中来自 117 个医疗集团的 821 个诊所的数据。我们检查了诊所使用 7 种 CDS 工具以及 3 个领域(资源、用户接受度和技术)中的 7 种障碍。我们采用线性概率模型研究了与 CDS 障碍相关的因素。

结果

与非系统内的诊所相比,系统内的诊所使用了更多的 CDS 工具(自动化提醒高出 24 个百分点),但他们也报告了更多与资源和用户接受度相关的障碍(实施障碍高 26 个百分点,干扰警报高 33 个百分点)。与工作流程重新设计相关的障碍在与医疗系统相关的诊所中增加(高 33 个百分点)。农村诊所更有可能报告培训障碍。

结论

与资源和用户接受度相关的 CDS 障碍仍然很大。医疗系统在促进 CDS 工具方面虽然有效,但可能需要为其附属的门诊诊所提供进一步的帮助,以克服障碍,特别是需要重新设计工作流程的要求。农村诊所可能需要更多的培训资源。