Chung Y. , Bagheri N. , SALINAS PÉREZ, JOSÉ ALBERTO, Smurthwaite K. , Walsh E. , Furst M. , Rosenberg S. , Salvador-Carulla L.
No
Int J Inf Manage
Review
Científica
14.098
2.77
01/01/2020
000497989600002
2-s2.0-85065412591
The availability of healthcare data has exponentially grown, both in quantity and complexity. The speed of this evolution has generated new challenges for translating complex data into effective evidence-informed policy. Visual analytics offers new capacity to analyze healthcare systems and support better decision-making. We conducted a systematic scoping review to look for evidence of visual analytics approaches being applied to mental healthcare systems and their use in driving policy. We found 79 relevant studies and categorized them in two ways: by study purpose and by type of visualization. The majority (67.1%)of the studies used geographical maps, and 11% conducted highly complex studies requiring novel visualizations. Significantly, only 15% of the studies provided information indicating high levels of usability for policy and planning. Our findings suggest that while visual analytics continues to evolve rapidly, there is a need to ensure this evolution reflects the practical needs of policy makers. © 2019 The Authors
Data visualization; Decision making; Flow visualization; Health care; Data complexity; Informed decision; Mental healthcare systems; Scoping review; Visual analytics; Visualization