Decision Support
Machine Learning
Dr. Tanuj Gupta, vice president at Cerner Intelligence, talks gender and racial algorithm bias, whether AI could replace clinicians, and how machine learning should be regulated.
Machine Learning
AdventHealth, Advocate Aurora, Northwell, Novant, Providence and Tenet are just some of the major providers collaborating on the new data platform, whose goal is to "improve health equity and advance personalized medicine," according to its CEO.
Machine Learning
The informatics group's new position paper explores ways to enable rigorous but flexible oversight and help FDA and other policymakers ensure "adaptive CDS" is safe and effective.
As COVID-19 continues to surge in Los Angeles, LANES is enabling free-flowing data insights – medical, behavioral and socioeconomic ─ to close information gaps and improve clinical decision support for better outcomes.
Collaboration on the Azure platform will help "deliver personalized digital experiences and make more data-informed decisions," says Kaiser's interim CIO.
Machine Learning
The company's software uses machine learning to suggest diagnoses based on medical records with the aim of ensuring no condition is overlooked.
Moving from manual assessment to automation has reduced code blues, saved lives and increased provider satisfaction.
To develop the predictive tool, Northwell researchers used EHR data and demographic information to help triage those who need the most interventions to reduce mortality.
Prior to implementation, the medical center was not attesting for the MIPS CMS 2 measure, but after about 10 months had reached an attestation rate of 67%.
Workforce
Physicians point to long work hours and bureaucratic tasks as contributing to exhaustion and job-related stress, a new survey shows. "An EHR that actually works right" would help, said one.