PURPOSE: E-health enables the sharing of patient-related data whenever and wherever
necessary. Electronic health records (EHRs) promise to improve communication between …

In this paper, we describe the construction of a semantically annotated corpus of clinical
texts for use in the development and evaluation of systems for automatically extracting …

Abstract Background The Clinical E-Science Framework (CLEF) project has built a system to
extract clinically significant information from the textual component of medical records in …

Abstract The Clinical E-Science Framework (CLEF) project is building a framework for the
capture, integration and presentation of clinical information: for clinical research, evidence …

This article describes a method for composing fluent and complex natural language
questions, while avoiding the standard pitfalls of free text queries. The method, based on …

Electronic health records (EHR) promise to improve communication between health care
providers, thus leading to better quality of patients' treatment and reduced costs. As highly …

Objective We assess the efficacy and utility of automatically generated textual summaries of
patients' medical histories at the point of care. Method Twenty-one clinicians were presented …

This paper describes a visualisation architecture that integrates graphical devices and
natural language in a cooperative system for navigating through complex images of medical …

Due to the cost pressure on the health care system an increase in the need for electronic
healthcare records (EHR) could be observed in the last decade, because EHRs promise …

The nature of medical system is viewed as perhaps the main factor of a nation. Currently
Electronic Health Record (EHR) is being used to store the patient's medical data. However …