Williams Jac, Bates David W, Sheikh Aziz
The University of Edinburgh Usher Institute, Edinburgh, UK.
Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA.
BMJ Health Care Inform. 2020 Jan;27(1). doi: 10.1136/bmjhci-2019-100117.
Electronic prescribing (ePrescribing) systems can improve the quality of prescribing decisions and substantially reduce the risk of serious medication errors in hospitals. However, realising these benefits depends on ensuring that relevant sociotechnical considerations are addressed. Optimising ePrescribing systems is essential to maximise the associated benefits and minimise the accompanying risks of these large-scale and expensive health informatics infrastructures.
We will undertake a systematic scoping review of the literature to identify strategies to achieve optimisation of ePrescribing systems. We will search Medline, Embase and CINAHL for the period 1 January 2010 to 1 June 2019 and the grey literature by using Google Scholar. Independent reviewers will screen the results using predefined inclusion and exclusion criteria and will extract data for narrative and thematic synthesis.
This work will be published in a peer-reviewed journal and we will ensure that the findings are both accessible and interpretable to the public, academics, policymakers and National Health Service leaders.
电子处方系统可以提高处方决策的质量，并大幅降低医院严重用药错误的风险。然而，要实现这些益处，取决于确保解决相关的社会技术因素。优化电子处方系统对于最大化这些大规模且昂贵的健康信息基础设施的相关益处并最小化其伴随风险至关重要。
我们将对文献进行系统的范围综述，以确定实现电子处方系统优化的策略。我们将检索2010年1月1日至2019年6月1日期间的Medline、Embase和CINAHL数据库，并通过谷歌学术搜索灰色文献。独立评审人员将使用预先定义的纳入和排除标准筛选结果，并提取数据进行叙述性和主题性综合分析。
这项工作将发表在同行评审期刊上，我们将确保研究结果对公众、学者、政策制定者和国民医疗服务体系领导者而言既易于获取又便于理解。
