AIMC Topic: New England

Clear Filters Showing 1 to 5 of 5 articles

Nursing documentation of symptoms is associated with higher risk of emergency department visits and hospitalizations in homecare patients.

Nursing outlook Dec 29, 2020
BACKGROUND: Nurses often document patient symptoms in narrative notes.
Nursing Care Home Care Services Documentation Emergency Service, Hospital Symptom Assessment New England Risk Assessment Natural Language Processing Middle Aged Humans Aged, 80 and over Female Electronic Health Records Aged Hospitalization Male Adult
View on PubMed DOI

Assessment of Time-Series Machine Learning Methods for Forecasting Hospital Discharge Volume.

JAMA network open Nov 2, 2018
IMPORTANCE: Forecasting the volume of hospital discharges has important implications for resource allocation and represents an opportunity to improve patient safety at periods of elevated risk.
Academic Medical Centers Patient Discharge New England Hospitals Models, Statistical Forecasting Humans Machine Learning
View on PubMed DOI

Tailoring Risk Prediction Models to Local Populations.

JAMA cardiology Nov 1, 2024
IMPORTANCE: Risk estimation is an integral part of cardiovascular care. Local recalibration of guideline-recommended models could address the limitations of existing tools.
Female Cardiovascular Diseases Electronic Health Records United States Middle Aged Aged Humans Cohort Studies New England Male Risk Assessment Risk Factors Machine Learning
View on PubMed DOI

The Role of the Robotics Coordinator: Improving Efficiency in a Robotic Surgery Program.

AORN journal Mar 1, 2022
An increase in the number of surgical robots from four to nine at a large academic medical center in the northeastern United States created several challenges for personnel to keep up with the increased robotic surgical volume and remain efficient. T...
Humans Robotics Robotic Surgical Procedures Efficiency Surgeons New England
View on PubMed DOI

Monitoring of Technology Adoption Using Web Content Mining of Location Information and Geographic Information Systems: A Case Study of Digital Breast Tomosynthesis.

JCO clinical cancer informatics Dec 1, 2018
PURPOSE: To our knowledge, integration of Web content mining of publicly available addresses with a geographic information system (GIS) has not been applied to the timely monitoring of medical technology adoption. Here, we explore the diffusion of a ...
Data Mining Geographic Information Systems New England Internet Biomedical Technology Geographic Mapping Natural Language Processing Humans Mammography Machine Learning Female
View on PubMed DOI
Popular Topics
Recent Journals