Awad Selvana, Begg Rachel, Loveday Thomas, Baysari Melissa T
The University of Sydney, Sydney, Australia.
eHealth NSW, Sydney, Australia.
BMC Health Serv Res. 2025 Sep 1;25(1):1169. doi: 10.1186/s12913-025-13293-5.
Human centred design (HCD) and human factors (HF) approaches can support the safe design and redesign of Health Information Technologies (HITs). Safety issues associated with HITs can occur due to complex sociotechnical and contextual factors which dynamically impact safety. An effective rapid HIT patient safety response could resolve issues before patient harm occurs.
To describe, evaluate, and generate recommendations for optimising the application of HCD and HF methods by non-HF experts during a rapid statewide HIT patient safety response.
In response to reported safety issues with a HIT, HCD and HF approaches were used by non-HF experts during site visits to understand the issues, contextual differences between sites and gather preliminary feedback on proposed redesign options to mitigate the issues. This quality improvement study involved two 45-minute focus groups with 7 staff who conducted the site visits to understand what worked well, what did not work well, and any lessons learnt relating to the application of HCD and HF informed data collection approaches during this patient safety response.
Outcomes from the site visits were reported to be variable. However, the overall data collection approach was considered effective in gathering useful information. Participants explained that key outcomes of the approach used included improved understanding of the issues and contributing contextual factors, effective engagement with sites and users, and increased team collaboration and job satisfaction among the data collection team. Participants identified factors that influenced the effectiveness of site visits including data collection approaches (e.g., individual vs group data collection), the circumstances on the day (e.g., time and availability of frontline staff), contextual factors (e.g., the nature of the unit/setting) and factors related to the data collection team (e.g., selection of team members involved). Recommendations have been provided to optimise future rapid HIT patient safety responses.
Data collection approaches informed by HCD and HF methods are useful for understanding and addressing HIT safety concerns requiring rapid responses, even when applied by non-HF experts. Ideally, methods should be applied flexibly and involve seeking insights from frontline users in their own environments.
以人为本的设计（HCD）和人因学（HF）方法可支持健康信息技术（HITs）的安全设计与重新设计。由于复杂的社会技术和情境因素会动态影响安全性，与HITs相关的安全问题可能会出现。有效的快速HIT患者安全响应可以在患者受到伤害之前解决问题。
描述、评估并生成相关建议，以优化非HF专家在全州范围内快速HIT患者安全响应期间对HCD和HF方法的应用。
针对报告的HIT安全问题，非HF专家在实地考察期间采用HCD和HF方法来了解问题、各地点之间的情境差异，并收集有关拟议的重新设计方案以缓解问题的初步反馈。这项质量改进研究涉及两个45分钟的焦点小组，小组成员为7名进行实地考察的工作人员，旨在了解哪些方面效果良好、哪些方面效果不佳，以及在此患者安全响应期间与HCD和HF告知的数据收集方法应用相关的经验教训。
实地考察的结果各不相同。然而，总体数据收集方法被认为在收集有用信息方面是有效的。参与者解释说，所采用方法的关键成果包括对问题和相关情境因素的理解得到改善、与各地点和用户的有效互动，以及数据收集团队之间团队协作和工作满意度的提高。参与者确定了影响实地考察有效性的因素，包括数据收集方法（例如，个人与小组数据收集）、当天的情况（例如，一线工作人员的时间和可用性）、情境因素（例如，单位/环境的性质）以及与数据收集团队相关的因素（例如，所涉团队成员的选择）。已提供相关建议以优化未来快速HIT患者安全响应。
由HCD和HF方法告知的数据收集方法有助于理解和解决需要快速响应的HIT安全问题，即使由非HF专家应用也是如此。理想情况下，方法应灵活应用，并涉及在一线用户自身环境中寻求见解。
