Challenges of Time-oriented Data in Visual Analytics for Healthcare

Abstract

The visual exploration and analysis of time-oriented data in health- care are important yet challenging tasks. This position paper presents six challenges for Visual Analytics in healthcare: (1) scale and complexity of time-oriented data, (2) intertwining patient condition with treatment processes, (3) scalable analysis from single patients to cohorts, (4) data quality and uncertainty, (5) interaction, user interfaces, and the role of users, and (6) evaluation. Furthermore, it portrays existing and future work by the authors tackling these challenges.