AIMC Topic: Documentation
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Exploring the art of medical photography - an otolaryngologist's perspective.
The Journal of laryngology and otology
Oct 1, 2021
BACKGROUND: Modern day otolaryngology has expanded beyond the ear, nose and throat to include head and neck surgery and aesthetic facial procedures. Photographic documentation is important within this expanded horizon. The spectrum of clinical photog...
The role of artificial intelligence in enhancing clinical nursing care: A scoping review.
Journal of nursing management
Aug 13, 2021
AIM: To present an overview of how artificial intelligence has been used to improve clinical nursing care.
Natural Language Processing to Identify Advance Care Planning Documentation in a Multisite Pragmatic Clinical Trial.
Journal of pain and symptom management
Jul 14, 2021
CONTEXT: Large multisite clinical trials studying decision-making when facing serious illness require an efficient method for abstraction of advance care planning (ACP) documentation from clinical text documents. However, the current gold standard me...
Natural Language Processing to Identify Pulmonary Nodules and Extract Nodule Characteristics From Radiology Reports.
Chest
Jun 4, 2021
BACKGROUND: There is an urgent need for population-based studies on managing patients with pulmonary nodules.
A Preliminary Characterization of Canonicalized and Non-Canonicalized Section Headers Across Variable Clinical Note Types.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
In the electronic health record, the majority of clinically relevant information is stored within clinical notes. Most clinical notes follow a set organizational structure composed of canonicalized section headers that facilitate clinical review and ...
Timely and Efficient AI Insights on EHR: System Design.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
A patient's electronic health record (EHR) contains extensive documentation of the patient's medical history but is difficult for clinicians to review and find what they are looking for under the time constraints of the clinical setting. Although rec...
A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Medical ionizing radiation procedures and especially medical imaging are a non negligible source of exposure to patients. Whereas the biological effects of high absorbed doses are relatively well known, the effects of low absorbed doses are still deb...
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Anginal symptoms can connote increased cardiac risk and a need for change in cardiovascular management. In this study, a pre-trained transformer architecture was used to automatically detect and characterize anginal symptoms from within the history o...
RadLex Normalization in Radiology Reports.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Radiology reports have been widely used for extraction of various clinically significant information about patients' imaging studies. However, limited research has focused on standardizing the entities to a common radiology-specific vocabulary. Furth...
Development of artificial intelligence system for quality control of photo documentation in esophagogastroduodenoscopy.
Surgical endoscopy
Jan 7, 2021
BACKGROUND: Esophagogastroduodenoscopy (EGD) is generally a safe procedure, but adverse events often occur. This highlights the necessity of the quality control of EGD. Complete visualization and photo documentation of upper gastrointestinal (UGI) tr...
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