Collaborative Research: Process-Centered, Analysis-driven System Development Applied to Human-Intensive Medical Processes

美国国家科学基金会提案0820198/0820138标题：以过程为中心，分析驱动的系统开发应用于人类密集型医疗过程PI：Lori Clarke，Philip Henneman，George Avrunin，Elizabeth Henneman和Leon Osterweil这个项目提供了一种开发人类密集型系统的新方法，其中人类参与者、硬件设备和应用软件系统之间的协调用可执行的过程定义语言来指定。过程定义要经过严格的分析，以便发现缺陷并评估建议的改进。这些经过验证的流程定义随后可用于驱动模拟和培训流程参与者。建议的方法将通过开发过程支持环境进行评估，然后使用该环境来定义和分析医疗过程。医疗流程提供了一个特别好的评估领域，因为它们是人力密集型的，涉及各种软件应用程序和硬件设备，并且都是安全关键和容易出错的。分离和严格分析复杂的人力密集型系统的协调方面代表着当前开发实践的范式转变。这种方法为人类密集型系统的工程设计提供了强大的技术和方法基础，导致系统可扩展、可理解并能够放大人类的功效和控制。最后，这种以流程为中心的方法具有提高医疗质量和降低医疗成本的潜力。

NSF Proposals 0820198/0820138Title: Process-Centered, Analysis-Driven System Development Applied to Human-Intensive Medical ProcessesPIs: Lori Clarke, Philip Henneman, George Avrunin, Elizabeth Henneman, and Leon OsterweilThis project presents a new approach to developing human-intensive systems in which the coordination among human participants, hardware devices, and application software systems are specified in an executable, process-definition language. Process definitions are subjected to rigorous analysis in order to detect defects and evaluate proposed improvements. Such validated process definitions can then be used to drive simulations and train process participants. The proposed approach is to be evaluated by developing a process support environment that is then used to define and analyze medical processes. Medical processes provide a particularly good evaluation domain as they are human-intensive, involve diverse software applications and hardware devices, and are both safety critical and error prone. Separating and rigorously analyzing the coordination aspects of complex, human-intensive systems represent a paradigm shift from current development practices. This approach provides a strong technical and methodological basis for the engineering of human-intensive systems, leading to systems that are scalable, understandable, and able to amplify human efficacy and control. Finally, this process-centered approach has the potential to improve the quality and reduce the cost of medical care.