New HTL research charts the technology roadmap for scaling Hospital at Home

New insights are out from the Hospital at Home Users Group (HaHUG) Technology Council: a multi-institutional paper examining the technological landscape of Hospital at Home (HaH) care, co-authored by HTL’s Jared Conley, MD, PhD, MPH, Rahul Prabhu, and Kelechi Umoga, MD, MBA.

While studies have long shown that HaH delivers safe, cost-effective, and highly satisfying acute care, standard technology infrastructure hasn’t always kept pace with this newer distributed, home-based model. Drawing on insights from national HaH experts, the paper identifies the exact friction points holding the industry back — and where the greatest opportunities lie for scaling up. It focuses on three areas:

Patient identification. Moving beyond manual clinical triage to leverage predictive analytics and generative AI to identify eligible acute patients early and often.

Virtual visits & remote patient monitoring. Addressing critical hurdles like connectivity, EHR integration gaps, and the burden of RPM device false alarms.

Supply chain & logistics. Navigating the shift toward automated inventory management, geotracking, and “Amazon/Uber-like” visibility over clinical workflows.

With the recent five-year extension of the CMS Acute Hospital Care at Home waiver, the mandate for health systems, technology vendors, and policymakers to align has never been stronger.

The work was supported by the John A. Hartford Foundation and the Hospital at Home Users Group, and developed alongside co-chair David Levine, MD and the full HaHUG Technology Council.