Biomedical Informatics and Medical Education, University of Washington, Box 357240, 1959 NE Pacific Street, Seattle, WA 98195, USA.
Human Centered Design & Engineering, University of Washington, 428 Sieg Hall, Box 352315, 1959 NE Pacific Street, Seattle, WA 98195, USA.
J Biomed Inform. 2018 Oct;86:167-174. doi: 10.1016/j.jbi.2018.09.003. Epub 2018 Sep 5.
Health information technology could provide valuable support for inter-professional collaboration to address complex health issues, but current HIT systems do not adequately support such collaboration. Existing theoretical research on supporting collaborative work can help inform the design of collaborative HIT systems. Using the example of supporting collaboration between child development service providers, we describe a deductive approach that leverages concepts from the literature and analyzes qualitative user-needs data to aid in collaborative system design.
We use the Collaboration Space Model to guide the deductive qualitative analysis of interviews focused on the use of information technology to support child development. We deductively analyzed 44 interviews from two separate research initiatives and included data from a wide range of stakeholder groups including parents and various service providers. We summarized the deductively coded interview excerpts using quantitative and qualitative methods.
The deductive analysis method provided a rich set of design data, highlighting heterogeneity in work processes, barriers to adequate communication, and gaps in stakeholder knowledge in supporting child development work.
Deductive qualitative analysis considering constructs from a literature-based model provided useful, actionable data to aid in design. Design implications underscore functions needed to adequately share data across many stakeholders. More work is needed to validate our design implications and to better understand the situations where specific system features would be most useful.
Deductive analysis considering model constructs provides a useful approach to designing collaborative HIT systems, allowing designers to consider both empirical user data and existing knowledge from the literature. This method has the potential to improve designs for collaborative HIT systems.
医疗信息技术可以为解决复杂健康问题的跨专业协作提供有价值的支持，但当前的医疗信息技术系统并不能充分支持这种协作。现有的关于支持协作工作的理论研究可以为协作医疗信息技术系统的设计提供信息。以支持儿童发展服务提供者之间的合作为例，我们描述了一种演绎方法，利用文献中的概念并分析定性用户需求数据，以帮助协作系统设计。
我们使用协作空间模型来指导对以信息技术支持儿童发展为重点的访谈的演绎定性分析。我们对来自两个独立研究计划的 44 次访谈进行了演绎分析，并纳入了来自包括家长和各种服务提供者在内的广泛利益相关者群体的数据。我们使用定量和定性方法总结了演绎编码的访谈摘录。
演绎分析方法提供了丰富的设计数据，突出了工作流程的异质性、充分沟通的障碍以及支持儿童发展工作的利益相关者知识差距。
考虑基于文献模型的结构进行演绎定性分析提供了有用的、可操作的数据，有助于设计。设计意义强调了在许多利益相关者之间充分共享数据所需的功能。需要做更多的工作来验证我们的设计意义，并更好地了解特定系统功能最有用的情况。
考虑模型结构的演绎分析为设计协作医疗信息技术系统提供了一种有用的方法，使设计者可以同时考虑实证用户数据和文献中的现有知识。这种方法有可能改进协作医疗信息技术系统的设计。
