Challenges of Time-oriented Data in Visual Analytics for Healthcare
نویسندگان
چکیده
The visual exploration and analysis of time-oriented data in healthcare 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.
منابع مشابه
Exploring Clinical Care Processes Using Visual and Data Analytics: Challenges and Opportunities
Healthcare big data is being widely touted as a potential resource for curbing costs and improving outcomes. However, numerous challenges remain for leveraging this data to its full potential. In this position paper we identify the difficulties that characterize clinical data, based on our experiences working with pediatric asthma data from Children’s Healthcare of Atlanta. The specific dataset...
متن کاملVisualizing time-oriented data - A systematic view
The analysis of time-oriented data is an important task in many application scenarios. In recent years, a variety of techniques for visualizing such data have been published. This variety makes it difficult for prospective users to select methods or tools that are useful for their particular task at hand. In this article, we develop and discuss a systematic view on the diversity of methods for ...
متن کاملGoal-orie Ted Approach to Busi Ess I Tellige Ce Requireme T a Alysis for Malaysia Rural Healthcare Ce Ter
Despite the advancement in the Malaysian rural healthcare centers operations, the healthcare delivery is currently facing some challenges caused by the techniques in collecting the data for analyzing their performances at the end of the day. It is posited that healthcare centers can take advantages of these data and explore analytics as a competitive tool provided by Business Intelligence (BI)....
متن کاملBook Review: Data-Driven Healthcare & Analytics in a Big Data World
the healthcare industry is generating large amounts of data, driven by a wide range of medical and healthcare functions, including clinical records, medical images, genomic data, health behaviors, clinical decision support, disease surveillance, and public health management [1]. Reports say that worldwide digital healthcare data was estimated to be equal to 500 petabytes in 2012 and is expected...
متن کاملThe Politics and Analytics of Health Policy
Let us start with an example of health policy analysis in action. Within that category of countries loosely known as ‘the West’, quite basic differences exist in attitudes to health policy and also actual health policy. Comparing the US with mainland Europe and indeed Canada, for example, one perceives a difference in attitude on the part of the majority towards collectivism and individualism i...
متن کامل