Generative artificial intelligence (AI) and large language models (LLMs), exemplified by
ChatGPT, are promising for revolutionizing data and information management in healthcare …

Objective To identify outcomes of using health information technologies to support direct
resident care in residential aged care homes, for residents, staff and services. Methods In …

Background The time that nurses spent on documentation can be substantial and
burdensome. To date it was unknown if documentation activities are related to the workload …

Objective Understand the perceived role of electronic health records (EHR) and workflow
fragmentation on clinician documentation burden in the emergency department (ED) …

Long-form clinical summarization of hospital admissions has real-world significance
because of its potential to help both clinicians and patients. The factual consistency of …

Background: Since the COVID-19 pandemic onset, telemedicine has increased
exponentially across numerous outpatient departments and specialties. Qualitative studies …

Purpose of review ChatGPT has emerged as a potential tool for facilitating doctors'
workflows. However, when it comes to applying these findings within a urological context …

Purpose This article explores the potential of large language models (LLMs) to automate
administrative tasks in healthcare, alleviating the burden on clinicians caused by electronic …

Prediction tools driven by artificial intelligence (AI) and machine learning are becoming
increasingly integrated into health care delivery in the United States. However …

Objectives The purpose of this study is to understand the relationship between
documentation burden and clinician burnout syndrome in nurses working in direct patient …