Background Patients and families from culturally and linguistically diverse (CALD) backgrounds face distinct challenges ...

Explore the year in IT at 10 major health systems, highlighting EHR upgrades, AI integration, and digital care innovations ...

Rural hospitals are overcoming fears of artificial intelligence and adopting tools that integrate with electronic health ...

A community health system based in New Bedford, Mass., made a sustained investment in data transparency and frontline engagement to drive measurable gains in quality and patient experience. Southcoast ...

For healthcare data strategy projects, there are four essential elements to turn aspiration into a plan for recurring ...

Overview: Healthcare data analysts turn patient and hospital data into useful insights.Strong demand exists as hospitals rely more on digital records.Skills in ...

Remote work and high salaries can go hand in hand. Many professionals, especially those with sought-after credentials and experience, earn top dollar in high-paying remote jobs that offer more ...

Employers are struggling to fill these 9 in-demand jobs fast enough, and each one pays more than $65,000 a year right now ...

Alzheimer’s Disease Analysis Model Generation 1 (ADAM-1) is a multi-agent reasoning large language model (LLM) framework designed to integrate and analyze multimodal data, including microbiome ...

Clinical Quality Language (CQL) is an HL7 specification for the expression of clinical knowledge that can be used within both the Clinical Decision Support (CDS) and Clinical Quality Measurement (CQM) ...

Sample Size Requirements for Popular Classification Algorithms in Tabular Clinical Data: Empirical Study Scott Silvey 1 ; Jinze Liu 1 Article Authors Cited by (13) Tweetations Metrics ...