Since the inception of electronic health records (EHR) and population health records
(PopHR), the volume of archived digital health records is growing rapidly. Large volumes of …

Methods: An abstraction layer for structured EHR data was devised after an informal
literature review and discussions between authors. The “Heimdall” prototype was …

Electronic health records (EHR) are a vital data resource for research uses, including cohort
identification, phenotyping, pharmacovigilance, and public health surveillance. To realize …

Solving challenging computational problems involving time has been a critical component in
the development of artificial intelligence systems almost since the inception of the field. This …

An overview is provided of six information visualization systems designed specifically for
gaining an overview of electronic health records (EHR). The systems discussed all make …

Methods: We developed a tool to automate the representation of clinical pathways, from an
individual and population points of view, and based on the OMOP CDM. The tool …

In this paper we present a method for modeling information in clinical narrative texts into
coherent semantically meaningful classes using text classification and visualization. We …

Visualizing narrative medical events into a timeline can have positive effects on clinical
environments. However, the characteristics of natural language and medical environments …

Nowadays, many people are suffering from the disease that their kidneys no longer function
adequately. Knowing their own physical conditions accurately and then recognizing the …

An electronic medical record (EMR) is “an electronic record of health-related information on
an individual.” EMRs are widely used in healthcare organizations and have many …