AIMC Topic: Documentation

Clear Filters Showing 31 to 40 of 162 articles

Harnessing the Power of Generative AI for Clinical Summaries: Perspectives From Emergency Physicians.

Annals of emergency medicine
STUDY OBJECTIVE: The workload of clinical documentation contributes to health care costs and professional burnout. The advent of generative artificial intelligence language models presents a promising solution. The perspective of clinicians may contr...

Transformer Models in Healthcare: A Survey and Thematic Analysis of Potentials, Shortcomings and Risks.

Journal of medical systems
Large Language Models (LLMs) such as General Pretrained Transformer (GPT) and Bidirectional Encoder Representations from Transformers (BERT), which use transformer model architectures, have significantly advanced artificial intelligence and natural l...

Bolstering Advance Care Planning Measurement Using Natural Language Processing.

Journal of palliative medicine
Despite its growth as a clinical activity and research topic, the complex dynamic nature of advance care planning (ACP) has posed serious challenges for researchers hoping to quantitatively measure it. Methods for measurement have traditionally depen...

The ChatGPT effect and transforming nursing education with generative AI: Discussion paper.

Nurse education in practice
AIM: The aim of this study is to present the possibilities of nurse education in the use of the Chat Generative Pre-training Transformer (ChatGPT) tool to support the documentation process.

Generative Language Models and Open Notes: Exploring the Promise and Limitations.

JMIR medical education
Patients' online record access (ORA) is growing worldwide. In some countries, including the United States and Sweden, access is advanced with patients obtaining rapid access to their full records on the web including laboratory and test results, list...

ChatGPT's Ability to Assist with Clinical Documentation: A Randomized Controlled Trial.

The Journal of the American Academy of Orthopaedic Surgeons
INTRODUCTION: Clinical documentation is a critical aspect of health care that enables healthcare providers to communicate effectively with each other and maintain accurate patient care records. Artificial intelligence tools, such as chatbots and virt...

Natural Language Processing Applied to Clinical Documentation in Post-acute Care Settings: A Scoping Review.

Journal of the American Medical Directors Association
OBJECTIVES: To determine the scope of the application of natural language processing to free-text clinical notes in post-acute care and provide a foundation for future natural language processing-based research in these settings.

[Application possibilities of digital tools in postoperative pain therapy].

Schmerz (Berlin, Germany)
BACKGROUND: Recently, digital tools, such as smartphone-based applications and the use of artificial intelligence have increasingly found their way into pain medicine. This could enable new treatment approaches in postoperative pain management. There...

Assisted documentation as a new focus for artificial intelligence in endoscopy: the precedent of reliable withdrawal time and image reporting.

Endoscopy
BACKGROUND : Reliable documentation is essential for maintaining quality standards in endoscopy; however, in clinical practice, report quality varies. We developed an artificial intelligence (AI)-based prototype for the measurement of withdrawal and ...