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The machine learning model, which has been shown to have up to 90% precision, may help clinicians to determine which patients can be sent home safely.

For example, only around 2% of patients in the home pulse oximetry program have required readmission to date.

Noncompliance with the new reporting rules "could result in termination for both Medicare and Medicaid," said CMS Administrator Seema Verma.

The organizations say they expect the platform, announced Wednesday, to reduce the time and cost associated with creating clinical grade AI algorithms while maintaining data security.

The latest results from the HIMSS Women in Health IT (WHIT) EMEA Annual Survey found that lower salary, exclusion from decision making, increased workload and fewer public speaking opportunities are the major forms of discrimination for respondents.

Positive findings from the two year study could be used to guide the implementation of nurse-led volunteer programs and pain assessment interventions across other Ramsay hospitals.

Working with AWS, researchers from UPMC, the University of Pittsburgh, and Carnegie Mellon are building new machine learning tools for breast cancer and depression screening.

The technology has been used across the health system by thousands of providers to make 1.1 million digital health prescriptions to patients. More than 40% of those patients have engaged with at least one piece of content.