SOUTHFIELD, MICHIGAN - As healthcare continues to evolve and advances to the point of being routinely provided in the home, many hospital-at-home programs continue to grow, not only from academic institutions but community hospitals as well, as they realize it is a more cost-efficient means of providing care for their populace.
There are varying levels of hospital-at-home programs, the more sophisticated ones being able to provide hospital level care in the home. Though this concept was first introduced in the 1990s, it failed to gain traction or popularity as it was not reinforced by reimbursement. In 2019, however, thanks in part to the Independence At Home study,1 the Center for Medicare & Medicaid Services passed a law allowing all Medicare recipients to have a visiting physician, a service previously limited to the homebound population.
The Covid-19 pandemic has further accelerated the rollout of these hospital-at-home programs, which will be facilitated by advances in technology such as artificial intelligence (AI). The financial challenges caused by Covid-19 and the growth of value-based care payments are prompting all healthcare organizations to consider delivery of care in the home. However, most organizations have no prior experience in such endeavors, and they must not only consider their own limited clinical staff, but also redesigned workflows which can leverage their limited staff time and abilities. They will need to create scalable, end-to-end platforms that leverage AI to track physiologic metrics and predict in time decompensations and streamline care, while simultaneously improving patient outcomes, reducing costs, and improving physician satisfaction to meet each of the four main aims in healthcare.2
Remote Patient Monitoring (RPM) will also play a tremendous role in fa
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