Digital Health Policy

Intel public policy: How Intel promotes innovation worldwide

Intel seeks to drive public policies that speed the adoption of healthcare technologies to improve individuals' results and expand healthcare technology markets worldwide.

Healthcare systems are embracing the transformative power of technology - electronic health records organize medical data and enable providers to share it more easily across healthcare settings; artificial intelligence (AI) helps physicians and researchers prevent disease, speed recovery, and save lives; telehealth improves the experience, access, and speed of care.

Technologies like AI, robotics, and the Internet of Things (IoT) are making healthcare and life sciences more connected, personalized, and intelligent. 

If the right policies are enacted, in the next ten years we can accelerate the creation of new therapies, provide care at a distance and support patient empowerment.

Key Issues

  • Practicing healthcare beyond institutional walls allows for more personalized, directed care in real-time. This will require increased focus on adequate reimbursement for telehealth. We believe that patients and doctors should be able to choose how to access and deliver care. In the US, Congress should permanently remove the current section 1834(m) of the Social Security Act on geographic and originating site restrictions to ensure that all patients can access care at home and other locations.
  • Charting reimbursement pathways for the adoption of automated clinical tools. As technologies come to market to automate and enhance human labor through AI and machine learning, payors will need to realign economic structures and valuations to appropriately capture the cost of those new tools.
  • Maximizing access to and utility of data. Today, health data is still mostly fragmented across countries, organizations, and platforms. Healthcare solutions would benefit from legislative and regulatory measures that improve data access, interoperability, quality, and diversity of datasets.
  • Driving investment and adoption of trustworthy Healthcare AI. Research is essential to developing trustworthy AI. Allocating public funding to support R&D on privacy-preserving technologies, digitizing health information, and state-of-the-art computing infrastructure will enhance the quality of AI-driven healthcare services.