Decision Support
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.
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%.
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.
CIOs need to look beyond just EHRs and explore stand-alone platforms to enhance care delivery – keeping focused on reliable patient data and streamlined clinical workflows.
From pandemic-necessitated go-live pauses to major rip-and-replaces, FHIR-based efficiencies to interoperability strides, digital records are evolving.
Whether assessing vaccine safety and efficacy, assisting with X-ray readings or tracking communities' vulnerability to COVID-19, artificial intelligence has been put to work in new and innovative ways throughout the pandemic.