Blog — Page 7
AI for Clinical Notes: Transforming Multi-Specialty Clinics with Seamless Documentation
AI-driven clinical note-taking streamlines multi-specialty workflows, improves coordination, reduces errors, and helps clinicians focus on delivering better patient care.
Prevalence and Sources of Duplicate Information in the Electronic Medical Record
Groundbreaking research shows duplicate text comprises 50% of medical records. Discover how copy-paste behavior leads to errors and what AI does differently.
A Fully Collaborative, Noteless Electronic Medical Record Designed to Minimize Information Chaos: Software Design and Feasibility Study
Breakthrough research demonstrates feasibility of EMR without traditional notes. Learn how collaborative, problem-based documentation reduces duplication and chaos.
Beyond Notes: Why It Is Time to Abandon an Outdated Documentation Paradigm
Published research argues medical notes represent poor organizational framework. Discover why note paradigm should be abandoned for topic-based documentation.
A Web Application for Adrenal Incidentaloma Identification, Tracking, and Management Using Machine Learning
Research demonstrates AI can identify and track adrenal incidentalomas in radiology reports. Learn how machine learning prevents missed follow-ups and improves outcomes.
Task definition, annotated dataset, and supervised natural language processing models for symptom extraction from unstructured clinical notes
Research achieves 86% accuracy extracting symptoms from clinical notes using AI. Learn how natural language processing enables real-time symptom identification.