AI and Machine Learning to Improve Hospital at Home Outcomes

The COVID-19 pandemic necessitated the growth of and proved the value of hospital at home programs. As of March 2022, 92 systems comprising 203 hospitals were approved to participate in CMS' Acute Hospital Care at Home Program. And it’s projected many more healthcare systems will follow as they look to improve patient outcomes and reduce the cost of care.

The number of companies providing remote care software and services continues to grow, leaving hospitals with a myriad of options to consider as they navigate delivering acute care in the home. An AI-powered, FDA-cleared analytics engine capable of predicting clinical exacerbation is one platform component that many providers see as critical to effective remote patient management.

This insightful report outlines key success factors in developing a hospital at home program as well as how artificial intelligence and machine learning is accelerating the expansion of these programs.

• An overview of CMS requirements for its Acute Hospital Care at Home Program
• How an end-to-end AI platform supports earlier interventions, thereby improving outcomes and lowering costs
• Steps and considerations to adopt and scale an acute care at home solution

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