Abstract Background: Natural Language Processing (NLP) is widely used to extract clinical
insights from Electronic Health Records (EHRs). However, the lack of annotated data …

Background: Clinical narratives represent the main form of communication within health
care, providing a personalized account of patient history and assessments, and offering rich …

Objective We extended a 2013 literature review on electronic health record (EHR) data
quality assessment approaches and tools to determine recent improvements or changes in …

The wide adoption of electronic health record systems in health care generates big real-
world data that open new venues to conduct clinical research. As a large amount of valuable …

In the medical field, a doctor must have a comprehensive knowledge by reading and writing
narrative documents, and he is responsible for every decision he takes for patients …

Automatic spelling correction has been receiving sustained research attention. Although
each article contains a brief introduction to the topic, there is a lack of work that would …

Objective The study sought to review recent literature regarding use of speech recognition
(SR) technology for clinical documentation and to understand the impact of SR on document …

Health care delivery revolves around accurate documentation, with data management free
from error. A seemingly insignificant typographical error can cause short-and long-term …

Background The identification of sections in narrative content of Electronic Health Records
(EHR) has demonstrated to improve the performance of clinical extraction tasks; however …

Abstract Information systems such as Electronic Health Record (EHR) systems are
susceptible to data quality (DQ) issues. Given the growing importance of EHR data, there is …