Decision Support

An Intel survey of healthcare decision-makers suggests great excitement for more widespread artificial intelligence and machine learning adoption, but also some skepticism.

An integrated coaction model, or iCaM, is ideal for addressing complex multispecialty parameters associated with health inequities and COVID-19.

Social Determinants of Health Analytics is meant as a resource to help health systems plan for and implement community programs as part of their population health management efforts.

Researchers say the new tools, developed using EHR data from the pandemic's first wave, can forecast short- and medium-term risks for patients over the course of their hospitalizations.

This week's top stories include the Supreme Court seeming willing to keep the Affordable Care Act, Google Cloud unveiling AI tools for analyzing unstructured medical text, and Epic customers gaining access to a COVID-19 risk prediction model.

The huge health system reduced medication clinical decision support alerts by 6.2 million over the course of a year.

The validated algorithm, which can forecast the risk for an individual testing positive, can help make more accurate predictions and enable more efficient resource allocation for health systems.

EpicShare.org will give users the ability to share creative ideas around patient care with others, the CEO said on a Forbes podcast.

Clinical decision support and hospital resource-management are particularly important as patient numbers begin to increase again, two new JAMA studies show.

"As these machines learn, we feel like there is going to be a change in expectation," said Bakul Patel, director of the FDA's Digital Health Center of Excellence.