The University of Edinburgh, UK.
Health Data Research, UK.
Health Informatics J. 2021 Jan-Mar;27(1):1460458220977579. doi: 10.1177/1460458220977579.
Creating a learning health system could help reduce variations in quality of care. Success is dependent on timely access to health data. To explore the barriers and facilitators to timely access to patients' data, we conducted in-depth semi-structured interviews with 37 purposively sampled participants from government, the NHS and academia across Scotland. Interviews were analysed using the framework approach. Participants were of the view that Scotland could play a leading role in the exploitation of routine data to drive forward service improvements, but highlighted major impediments: (i) persistence of paper-based records and a variety of information systems; (ii) the need for a proportionate approach to managing information governance; and (iii) the need for support structures to facilitate accrual, processing, linking, analysis and timely use and reuse of data for patient benefit. There is a pressing need to digitise and integrate existing health information infrastructures, guided by a nationwide proportionate information governance approach and the need to enhance technological and human capabilities to support these efforts.
创建学习型医疗体系有助于减少医疗质量的差异。成功取决于能否及时获取医疗数据。为了探究及时获取患者数据的障碍和促进因素,我们在苏格兰政府、国民保健制度(NHS)和学术界随机抽取了 37 名参与者进行深入的半结构化访谈。使用框架方法对访谈进行分析。参与者认为,苏格兰可以在利用常规数据推动服务改进方面发挥主导作用,但也强调了主要障碍:(i)纸质记录和各种信息系统的持续存在;(ii)需要采取适当的方法来管理信息治理;(iii)需要支持结构来促进数据的积累、处理、链接、分析以及及时和重复使用,以造福患者。数字化和整合现有的卫生信息基础设施迫在眉睫,需要以全国性的适当信息治理方法为指导,并需要增强技术和人力能力以支持这些努力。