Regulatory Issues

Accelerating PCOR through Synthetic Health Data Generation

By Stephanie Garcia & Carmen Smiley – Real world health data are critical for Patient-Centered Outcomes Research (PCOR). However, it’s often difficult, expensive, and time consuming for researchers to access real-world clinical health data because of privacy concerns, security restrictions, and usage issues.

Minimizing Risks and Maximizing Rewards from Machine Learning

By Kathryn Marchesini, Jeff Smith, & Jordan Everson – When talking about artificial intelligence today, people are usually referring to predictive models—often driven by machine learning techniques—that “learn” from historic data and make predictions, recommendations, or classifications (outputs) which inform or drive decision making.

What’s Happening at the ONC – 9-26-22

Supporting the adoption of health IT and the promotion of nationwide health information exchange to improve health care, here is what is happening at the ONC, including the USCDI v4 Submission Period, closes on 9/30, a new Data Brief that found fewer than 1 in 5 primary care physicians electronically exchanged patient health information with public health agencies & more!