The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …

Background Due to the rapid advancements in precision medicine and artificial intelligence,
interdisciplinary collaborations between nursing and engineering have emerged. Although …

Artificial intelligence is entering medical practice. The combination of medical big data and
machine learning techniques allows de-velopers to create Al usable in medical contexts …

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 …

Background To undertake a systematic review of existing literature relating to speech
recognition technology and its application within health care. Methods A systematic review …

Importance Accurate clinical documentation is critical to health care quality and safety.
Dictation services supported by speech recognition (SR) technology and professional …

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 …

Background: Over a tenth of preventable adverse events in health care are caused by
failures in information flow. These failures are tangible in clinical handover; regardless of …

The paper presents a conceptual framework for building practically applicable clinical
decision support systems (CDSSs) using data-driven (DD) predictive modelling. With the …

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