Decision Support

"Neurocognitive health interventions must be multipronged and personal, which necessitates the use of digital tools to adequately equip health systems to meet this growing need," one expert says.

As artificial intelligence and machine learning are deployed more widely and consequentially across healthcare and elsewhere, "it is vital that we address safety, security and equity concerns."

It was found to have 91% accuracy in classifying white blood cells.

The California health system's physicians are using the technology to improve the miss rate for diagnosing precancerous polyps found during colonoscopies.

"In order for health systems to be successful, we need evidence-based assessment to be able to understand that the care we are delivering is effective and efficient," the COO says.

The global pandemic has revealed a strong need to equip Indonesia’s health workers with more data-related skillsets.

Nearly half of providers who saw an alternative with a savings opportunity made a switch to that lower-cost option, and the health system has achieved a 98.3% success rate in prescription transactions between PBMs and its Epic EHR.

With real-world data from its Learning Health Network, Cerner hopes to advance oncology innovation and expand access to clinical trials.

Neurological IT company Combinostics announces the Dementia Differential Analysis report on the differential diagnosis of dementias. The app-based report visualizes comparisons of patient MRI biomarkers with other data from patients.

Ongoing real-time data enables the immediate monitoring of the impact of interventions, rather than waiting months to years to see the effects.