Science Policy
day one project

Delivering Healthcare Services to the American Home

02.04.21 | 2 min read | Text by Philip Auerswald


The coronavirus pandemic has forced a sudden acceleration of a prior trend toward the virtual provision of healthcare, also known as telemedicine. This acceleration was necessary in the short term so that provision of non-urgent health services could continue despite lockdowns and self- isolation. Federal and state policymakers have supported the shift toward telemedicine through temporary adjustments to health benefits, reimbursements, and licensure restrictions.

Yet if policymakers direct their attention too narrowly on expanding telemedicine they risk missing a larger—and as yet mostly unrealized—opportunity to improve healthcare in the United States: increasing the overall share of health services provided directly to the home. At-home healthcare includes not only telemedicine, but also medical house calls (home-based primary care) as well as models in which individuals within communities offer simple support services to one another (i.e., the “village” model of senior care, which could be extended to included peer- to-peer health service delivery). The advent of “exponential” technologies such as artificial intelligence (AI), blockchain, and the Internet of Things (IoT) is unlocking new possibilities for at- home healthcare across each of these models.

The next administration should act to reduce four types of barriers currently preventing at-home healthcare from reaching its full potential:

  1. Labor-market barriers (e.g., unnecessarily restrictive scope-of-practice rules and requirements for licensing and certification)
  2. Technical barriers (e.g., excessively slow and burdensome processes for regulatory approval, weak or absent standards for interoperability)
  3. Financial/regulatory barriers (e.g., methodologies for determining eligibility for reimbursements that favor incumbents over innovators)
  4. Data sharing / interoperability barriers (e.g., overly restrictive constraints related to data privacy and portability)