Creating synthetic patient data to support the design and evaluation of novel health information technology.
Creating synthetic patient data to support the design and evaluation of novel health information technology.
复制标题
创建综合患者数据以支持新型健康信息技术的设计和评估。
DOI：
10.1016/j.jbi.2019.103201
复制
发表时间：
2019
影响因子：
4.5
通讯作者：
Pratt,Wanda
中科院分区：
文献类型：
--
作者：
Pollack,AriH;Simon,TamaraD;Snyder,Jaime;Pratt,Wanda
为了确保新的健康信息技术支持其预期用户，研究人员和开发人员需要在软件开发生命周期的所有阶段（包括早期评估）遵循以人为本的方法。这些评估需要包括真实的测试场景，以确保它们为系统开发人员提供有价值和准确的反馈。然而，获得真实的患者数据来支持这些评估具有许多挑战，包括重新识别匿名患者的风险以及与将测试系统与生产就绪的临床数据库连接相关的成本。在这里，我们提出了一个新的五步过程来创建高度结构化和现实的合成患者数据，以支持早期到中期的健康信息技术原型的评估和比较。我们应用这种方法来评估和比较三种新的健康信息技术原型，旨在支持临床医生在识别高优先级患者时回答问题：“我应该先看什么病人？”我们的新方法填补了健康信息技术评估中的一个重要空白，并帮助设计人员创建最能支持最终用户的高质量软件。
To ensure that new health information technology supports its intended users, researchers and developers need to follow human-centered methods during all stages of the software development lifecycle, including early stage evaluations. These evaluations need to include realistic testing scenarios to ensure that they provide valuable and accurate feedback to system developers. However, obtaining realistic patient data to support these evaluations has many challenges, including the risk of re-identifying anonymized patients as well as the costs associated with connecting test systems with production ready clinical databases. Here we present a novel five-step process to create highly structured and realistic synthetic patient data to support the evaluation and comparison of early to middle stage health information technology prototypes. We applied this method to evaluate and compare three novel health information technology prototypes designed to support clinicians during the identification of high-priority patients when answering the question: “What patient should I see first?” Our novel approach fills an important gap in the evaluation of health information technology and assists designers in creating high-quality software that best supports its end users.