Decision Support

"Contrary to the belief that clinical surveillance may minimize bedside interaction, the value lies in being able to detect necessary interventional care," says Philips' physician head of clinical informatics.

The goal is to build out a data acquisition and interoperability platform to help clients reduce administrative burden, boost revenue and drive quality improvements, Availity's CEO said.

Leaders from athenahealth and epocrates discuss features in their EHR and decision-support app designed to make healthcare more welcoming.

The multiyear partnership will see the 63-hospital Tennessee health system deploying an array of analytics tools to advance patient care and boost population health.

"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.