Objective Despite the widespread and increasing use of electronic health records (EHRs),
the quality of EHRs is problematic. Efforts have been made to address reasons for poor EHR …

The reuse of healthcare data for various purposes will become increasingly important in the
future. To enable the reuse of clinical data, structured and standardized documentation is …

Importance Speech recognition (SR) is increasingly used directly by clinicians for electronic
health record (EHR) documentation. Its usability and effect on quality and efficiency versus …

Introduction An approach to building a hybrid simulation of patient flow is introduced with a
combination of data-driven methods for automation of model identification. The approach is …

Objective: To summarize recent research and present a selection of the best papers
published in 2014 in the field of clinical Natural Language Processing (NLP). Method: A …

Due to the insufficiency of electronic health records (EHR) data utilized in practical diagnosis
prediction scenarios, most works are devoted to learning powerful patient representations …

Background and objective The clinical note documents the clinician's information collection,
problem assessment, clinical management, and its used for administrative purposes …

Background Residents receive infrequent feedback on their clinical reasoning (CR)
documentation. While machine learning (ML) and natural language processing (NLP) have …

Background Teaching medical students the skills required to acquire, interpret, apply, and
communicate clinical information is an integral part of medical education. A crucial aspect of …

Objective: There are concerns that structured electronic documentation systems can limit
expressivity and encourage long and unreadable notes. We assessed the impact of an …