Research Clinical Informatics Artificial Intelligence (AI)
As the use of artificial intelligence (AI) increases in clinical spaces, so does research that aims to understand use, accuracy, and challenges. While most of this research has focused on clinical decision support or areas of specialty, few investigations have honed in on nursing.
Being able to follow a patient’s progression through a health system is an important factor for care in any nation, but it can be more difficult in developing countries that face greater technological and data-related challenges.
Research Health equity Clinical Informatics Clinical decision support (CDS)
For years, David Albers, PhD, associate professor of biomedical informatics at University of Colorado School of Medicine, has been haunted by a friend’s death. It was long before Albers contemplated a career in health care, when he was an undergrad studying physics and taking music lessons in his spare time from accomplished jazz musician Tony Williams.
IEEE Xplore
July 10, 2024
In this manuscript we explore a computationally efficient approximation to hard data consistency. We present results when adding this data consistency layer into two existing networks designed for MRI reconstruction. After retraining with the additional consistency layer, the networks show improved out-of-distribution performance and suppression of hallucinations.
JAMIA
July 10, 2024
The publication of the Phoenix criteria for pediatric sepsis and septic shock initiates a new era in clinical care and research of pediatric sepsis. The phoenix R package and Python module enable researchers to apply the Phoenix criteria to electronic health records (EHR) datasets and derive the relevant indicators, total scores, and sub-scores.
JAMIA
July 10, 2024
The Multi-State EHR-Based Network for Disease Surveillance (MENDS) is a population-based chronic disease surveillance distributed data network that uses institution-specific extraction-transformation-load (ETL) routines. MENDS-on-FHIR examined using Health Language Seven’s Fast Healthcare Interoperability Resources (HL7® FHIR®) and US Core Implementation Guide (US Core IG) compliant resources derived from the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to create a standards-based ETL pipeline.
SPIE
July 03, 2024
Nick Dwork, PhD, and co-authors present a method that combines compressed sensing with parallel imaging that takes advantage of the structure of the sparsifying transformation.
Kara Mason
