Centre for Medical Informatics, The Usher Institute, The University of Edinburgh Old Medical School Teviot Place Edinburgh, Scotland, EH8 9AG, UK.
Usher Institute | Advanced Care Research Centre (ACRC), Usher Institute | Advanced Care Research Centre (ACRC), University of Edinburgh, Edinburgh BioQuarter 9 Little France Road, Biocubes, Edinburgh, Scotland, EH16 4UX, UK.
BMC Med Inform Decis Mak. 2023 Oct 11;23(1):211. doi: 10.1186/s12911-023-02316-y.
Investment in the implementation of hospital ePrescribing systems has been a priority in many economically-developed countries in order to modernise the delivery of healthcare. However, maximum gains in the safety, quality and efficiency of care are unlikely to be fully realised unless ePrescribing systems are further optimised in a local context. Typical barriers to optimal use are often encountered in relation to a lack of systemic capacity and preparedness to meet various levels of interoperability requirements, including at the data, systems and services levels. This lack of systemic interoperability may in turn limit the opportunities and benefits potentially arising from implementing novel digital heath systems.
We undertook n = 54 qualitative interviews with key stakeholders at nine digitally advanced hospital sites across the UK, US, Norway and the Netherlands. We included hospitals featuring 'standalone, best of breed' systems, which were interfaced locally, and multi-component and integrated electronic health record enterprise systems. We analysed the data inductively, looking at strategies and constraints for ePrescribing interoperability within and beyond hospital systems.
Our thematic analysis identified 4 main drivers for increasing ePrescribing systems interoperability: (1) improving patient safety (2) improving integration & continuity of care (3) optimising care pathways and providing tailored decision support to meet local and contextualised care priorities and (4) to enable full patient care services interoperability in a variety of settings and contexts. These 4 interoperability dimensions were not always pursued equally at each implementation site, and these were often dependent on the specific national, policy, organisational or technical contexts of the ePrescribing implementations. Safety and efficiency objectives drove optimisation targeted at infrastructure and governance at all levels. Constraints to interoperability came from factors such as legacy systems, but barriers to interoperability of processes came from system capability, hospital policy and staff culture.
Achieving interoperability is key in making ePrescribing systems both safe and useable. Data resources exist at macro, meso and micro levels, as do the governance interventions necessary to achieve system interoperability. Strategic objectives, most notably improved safety, often motivated hospitals to push for evolution across the entire data architecture of which they formed a part. However, hospitals negotiated this terrain with varying degrees of centralised coordination. Hospitals were heavily reliant on staff buy-in to ensure that systems interoperability was built upon to achieve effective data sharing and use. Positive outcomes were founded on a culture of agreement about the usefulness of access by stakeholders, including prescribers, policymakers, vendors and lab technicians, which was reflected in an alignment of governance goals with system design.
为了使医疗保健现代化,许多经济发达国家都将投资实施医院电子处方系统作为优先事项。 然而,如果不在当地对电子处方系统进行进一步优化,那么在安全性、质量和效率方面的最大收益不太可能得到充分实现。 通常,在系统能力和准备程度方面存在各种障碍,无法满足各种级别的互操作性要求,包括数据、系统和服务级别。 这种系统互操作性的缺乏可能会限制从实施新的数字健康系统中获得的机会和收益。
我们在英国、美国、挪威和荷兰的 9 个数字化先进医院进行了 n=54 次定性访谈,采访了 9 个地点的关键利益相关者。 我们包括具有“独立、最佳”系统的医院,这些系统在本地进行了接口连接,以及多组件和集成的电子健康记录企业系统。 我们对数据进行了归纳分析,研究了医院系统内外实现电子处方互操作性的策略和限制因素。
我们的主题分析确定了提高电子处方系统互操作性的 4 个主要驱动因素:(1)提高患者安全性;(2)改善护理的整合和连续性;(3)优化护理路径,并提供定制的决策支持,以满足当地和具体的护理优先事项;(4)在各种环境和情况下实现全面的患者护理服务互操作性。 这些互操作性维度并非在每个实施地点都同等追求,这些维度往往取决于电子处方实施的特定国家、政策、组织或技术背景。 安全和效率目标推动了针对各级基础设施和治理的优化。 互操作性的限制因素来自遗留系统等因素,但流程互操作性的障碍来自系统能力、医院政策和员工文化。
实现互操作性是确保电子处方系统安全和可用的关键。 宏观、中观和微观层面都存在数据资源,也存在实现系统互操作性所需的治理干预措施。 战略目标,尤其是提高安全性,通常促使医院推动整个数据架构的发展,而这些医院构成了数据架构的一部分。 然而,医院在这方面的协调程度各不相同。 医院严重依赖员工的投入,以确保在有效数据共享和使用的基础上建立系统互操作性。 积极的结果是基于利益相关者(包括处方者、政策制定者、供应商和实验室技术人员)对访问有用性的共识文化,这反映在治理目标与系统设计的一致性上。