Background Research on technologies based on artificial intelligence in healthcare has
increased during the last decade, with applications showing great potential in assisting and …

The importance of incorporating Natural Language Processing (NLP) methods in clinical
informatics research has been increasingly recognized over the past years, and has led to …

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 …

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 …

In this paper, we provide an overview of the seventh annual edition of the CLEF eHealth
evaluation lab. CLEF eHealth 2019 continues our evaluation resource building efforts …

Objective To assess the role of speech recognition (SR) technology in clinicians'
documentation workflows by examining use of, experience with and opinions about this …

Miscommunication that occurs during the exchange of information between healthcare
providers accounts for approximately 80% of adverse events in the healthcare setting …

Introduction Speech recognition technology (SRT) recognises an individual's spoken word
signals through a microphone and subsequently processes the user's words into digital text …

Objective: We describe the development and evaluation of a system that uses machine
learning and natural language processing techniques to identify potential candidates for …

Abstract Background and Aim Nursing reports are necessary for clinical communication and
provide an accurate reflection of nursing assessments, care provided, changes in clinical …