AIMC Topic: Documentation

Clear Filters Showing 131 to 140 of 181 articles

Optimizing Nursing Records: Exploring the Impact of AI-Enhanced Documentation.

Studies in health technology and informatics
The standardization of medical records through structured templates has gained importance in improving the quality and safety of patient care. The results showed that missing rates ranged from 40.0% (fever reduction) to 43.9% (pain), while redundant ...

Generating Outpatient Progress Notes: A Comparison of Individualized and Generalized Models.

Studies in health technology and informatics
The increasing documentation workload in medical practice, particularly for clinical notes, has driven the development of AI-driven solutions. This study introduces an AI Doctor Assistant (DA) that generates drafts of outpatient progress notes. The D...

Ambient Listening in Clinical Practice: Evaluating EPIC Signal Data Before and After Implementation and Its Impact on Physician Workload.

Studies in health technology and informatics
The widespread adoption of EHRs following the HITECH Act has increased the clinician documentation burden, contributing to burnout. Emerging technologies, such as ambient listening tools powered by generative AI, offer real-time, scribe-like document...

Artificial intelligence medical scribes in allied health: a solution in search of evidence?

Australian health review : a publication of the Australian Hospital Association
Artificial intelligence (AI) medical scribes (AI scribes), which ambiently record and transcribe patient-clinician interactions into structured documentation, aim to ameliorate documentation burdens, but their suitability for allied health remains un...

Lexical associations can characterize clinical documentation trends related to palliative care and metastatic cancer.

Scientific reports
Palliative care is known to improve quality of life in advanced cancer. Natural language processing offers insights to how documentation around palliative care in relation to metastatic cancer has changed. We analyzed inpatient clinical notes using u...

Assessment and Integration of Large Language Models for Automated Electronic Health Record Documentation in Emergency Medical Services.

Journal of medical systems
Automating Electronic Health Records (EHR) documentation can significantly reduce the burden on care providers, particularly in emergency care settings where rapid and accurate record-keeping is crucial. A critical aspect of this automation involves ...

Assessing Healthcare Stakeholder Understanding of Machine Learning Documentation.

Studies in health technology and informatics
Artificial Intelligence (AI) has significantly advanced clinical decision support systems in healthcare, particularly using Machine Learning (ML) models. However, the technical nature of current ML model documentation often leads to lack of comprehen...

Is AI A-OK? Medicolegal considerations for general practitioners using AI scribes.

Australian journal of general practice
BACKGROUND: Good medical records are an essential part of healthcare. However, the burden of clinical documentation can reduce clinician productivity and add to stress and anxiety. Artificial intelligence (AI) scribes offer a solution by using large ...

Evaluation of an Ambient Artificial Intelligence Documentation Platform for Clinicians.

JAMA network open
IMPORTANCE: The increase of electronic health record (EHR) work negatively impacts clinician well-being. One potential solution is incorporating an ambient artificial intelligence (AI) documentation platform.

The value of simulation testing for the evaluation of ambient digital scribes: a case report.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: The objective of this work is to demonstrate the value of simulation testing for rapidly evaluating artificial intelligence (AI) products.