On Building a Visualisation Tool for Access Control Policies

Morisset, Charles; Sánchez, David

doi:10.1007/978-3-030-25109-3_12

Cited by 2 publications

(1 citation statement)

References 34 publications

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“…Surveys and interviews are undertaken in such circumstances to explore the extent and nature of a research activity, prior to larger scale literature review or data collection [12]. This approach can be the first step toward an ongoing process where domain experts are involved in development and iterative improvement of a system or tool, known as co-development [13]. Co-development has demonstrated benefits in healthcare decisionmaking [4], and in the current setting may leverage insight to produce more useful visual analytic methods and equip health experts with skills for applying novel visualisation techniques.…”

Section: Introductionmentioning

confidence: 99%

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

Walsh

Chung

Salvador‐Carulla

2020

BMC Med Res Methodol

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Background: 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. Methods: 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. Results: 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. Conclusions: 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.

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Section: Introductionmentioning

confidence: 99%