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Experts’ perceptions on the use of visual analytics for complex mental healthcare planning: an exploratory study

机译:专家对复杂心理医疗保健规划的使用视觉分析的看法:探索性研究

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Health experts including planners and policy-makers face complex decisions in diverse and constantly changing healthcare systems. Visual analytics may play a critical role in supporting analysis of complex healthcare data and decision-making. The purpose of this study was to examine the real-world experience that experts in mental healthcare planning have with visual analytics tools, investigate how well current visualisation techniques meet their needs, and suggest priorities for the future development of visual analytics tools of practical benefit to mental healthcare policy and decision-making. Health expert experience was assessed by an online exploratory survey consisting of a mix of multiple choice and open-ended questions. Health experts were sampled from an international pool of policy-makers, health agency directors, and researchers with extensive and direct experience of using visual analytics tools for complex mental healthcare systems planning. We invited them to the survey, and the experts’ responses were analysed using statistical and text mining approaches. The forty respondents who took part in the study recognised the complexity of healthcare systems data, but had most experience with and preference for relatively simple and familiar visualisations such as bar charts, scatter plots, and geographical maps. Sixty-five percent rated visual analytics as important to their field for evidence-informed decision-making processes. Fifty-five percent indicated that more advanced visual analytics tools were needed for their data analysis, and 67.5% stated their willingness to learn new tools. This was reflected in text mining and qualitative synthesis of open-ended responses. This exploratory research provides readers with the first self-report insight into expert experience with visual analytics in mental healthcare systems research and policy. In spite of the awareness of their importance for complex healthcare planning, the majority of experts use simple, readily available visualisation tools. We conclude that co-creation and co-development strategies will be required to support advanced visual analytics tools and skills, which will become essential in the future of healthcare.
机译:卫生专家,包括规划者和政策制定者在多元化和不断变化的医疗系统中面临复杂的决策。视觉分析可能在支持复杂的医疗保健数据和决策方面发挥关键作用。本研究的目的是探讨心理医疗保健规划专家对视觉分析工具的真实体验,研究了当前的可视化技术如何满足他们的需求,并建议未来视觉分析工具的实际福利工具的优先事项心理医疗保健政策和决策。由一系列多项选择和开放式问题组成的在线探索调查评估了健康专家经验。卫生专家从一家国际政策制定者,卫生机构董事和研究人员中取样,采用了广泛而直接的经验,用于使用视觉分析工具进行复杂的心理医疗保健系统规划。我们邀请他们调查,专家的反应是使用统计和文本采矿方法进行分析。参加该研究的四十次受访者认识到医疗保健系统数据的复杂性,但对于相对简单和熟悉的可视化,如条形图,散点图和地理地图,大多数经验和偏好。六十五个评级视觉分析对他们的领域重要的证据明智的决策过程。五十五个百分之表明,他们的数据分析需要更先进的视觉分析工具,67.5%表示他们愿意学习新工具。这反映在文本挖掘和定性合成的开放式反应中。该探索性研究为读者提供了第一次自我报告的洞察力,并在精神医疗保健系统研究和政策中获得了视觉分析的专家体验。尽管对复杂的医疗保健规划重视他们的重要性,但大多数专家都使用简单,可用的可视化工具。我们得出结论,将需要共同创造和共同发展战略来支持先进的视觉分析工具和技能,这将在未来医疗保健方面成为必不可少的。

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