Supplying a comprehensive overview of healthcare analytics research, Healthcare Data
Analytics provides an understanding of the analytical techniques currently available to solve …

Visual Analytics (VA) aims to combine the strengths of humans and computers for effective
data analysis. In this endeavor, humans' tacit knowledge from prior experience is an …

Event data or traces of activities often exhibit unexpected behavior and complex relations.
Thus, before and during the application of automated analysis methods, such as process …

With greater pressures of providing high-quality care at lower cost due to a changing
financial and policy environment, the ability to understand variations in care delivery and …

In several application fields, the joint visualization of quantitative data and qualitative
abstractions can help analysts make sense of complex time series data by associating …

The advanced visualization of electronic health records (EHRs), supporting a scalable
analysis from single patients to cohorts, intertwining patients' conditions with executed …

Visualization envisions to intertwine the strengths of humans and computers for effective
interactive visual and analytic data analysis and exploration. To this end, humans' …

Characterizing the problem domain and understanding users' practices and processes are
recognized as important steps in order to design and validate visualization, but are often …

Routinely collected data in hospital Electronic Medical Records (EMR) is rich and abundant
but often not linked or analysed for purposes other than direct patient care. We have created …

Patient information in healthcare organizations is distributed across several systems and
data silos. Clinicians make decisions based on data in patient health records. Improving the …