School of Nursing and Department of Biomedical Informatics, Columbia University, New York, New York 10032, USA.
J Am Med Inform Assoc. 2013 Jun;20(e1):e131-8. doi: 10.1136/amiajnl-2012-001289. Epub 2013 Jan 3.
To evaluate the complex dynamics involved in implementing electronic health information exchange (HIE) for public health reporting at a state health department, and to identify policy implications to inform similar implementations.
Qualitative data were collected over 8 months from seven experts at New York State Department of Health who implemented web services and protocols for querying, receipt, and validation of electronic data supplied by regional health information organizations. Extensive project documentation was also collected. During group meetings experts described the implementation process and created reference modes and causal diagrams that the evaluation team used to build a preliminary model. System dynamics modeling techniques were applied iteratively to build causal loop diagrams representing the implementation. The diagrams were validated iteratively by individual experts followed by group review online, and through confirmatory review of documents and artifacts.
Three casual loop diagrams captured well-recognized system dynamics: Sliding Goals, Project Rework, and Maturity of Resources. The findings were associated with specific policies that address funding, leadership, ensuring expertise, planning for rework, communication, and timeline management.
This evaluation illustrates the value of a qualitative approach to system dynamics modeling. As a tool for strategic thinking on complicated and intense processes, qualitative models can be produced with fewer resources than a full simulation, yet still provide insights that are timely and relevant.
System dynamics techniques clarified endogenous and exogenous factors at play in a highly complex technology implementation, which may inform other states engaged in implementing HIE supported by federal Health Information Technology for Economic and Clinical Health (HITECH) legislation.
评估在州卫生部门实施电子健康信息交换(HIE)以进行公共卫生报告所涉及的复杂动态,并确定为类似实施提供信息的政策含义。
在 8 个月的时间里,从纽约州卫生署的 7 名专家那里收集了定性数据,这些专家实施了网络服务和协议,用于查询、接收和验证区域卫生信息组织提供的电子数据。还收集了广泛的项目文件。在小组会议上,专家们描述了实施过程,并创建了参考模式和因果图,评估小组使用这些模式和因果图来构建初步模型。系统动力学建模技术被反复应用于构建表示实施情况的因果回路图。这些图由个别专家反复验证,然后通过在线小组审查以及对文件和人工制品的确认性审查进行验证。
三个因果回路图很好地捕捉到了公认的系统动力学:滑动目标、项目返工和资源成熟度。这些发现与解决资金、领导、确保专业知识、规划返工、沟通和时间表管理等问题的具体政策相关。
该评估说明了定性方法在系统动力学建模中的价值。作为对复杂和紧张过程进行战略思考的工具,定性模型可以用比完整模拟更少的资源来生成,但仍能提供及时和相关的见解。
系统动力学技术阐明了在高度复杂的技术实施中起作用的内生和外生因素,这可能为其他正在根据联邦健康信息技术经济和临床健康(HITECH)立法实施 HIE 的州提供信息。