Kathryn Marchesini

Two Sides of the AI/ML Coin in Health Care

By Kathryn Marchesini, Jeff Smith, & Jordan Everson – As we’ve previously discussed, algorithms—step by step instructions (rules) to perform a task or solve a problem, especially by a computer—have been widely used in health care for decades. One clear use of these algorithms is through evidence-based, clinical decision support interventions.


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.


Getting the Best out of Algorithms in Health Care

By Kathryn Marchesini, Jeff Smith, & Jordan Everson – The same basic technology that can predict what movie you might want to watch, what song you might want to listen to, or what item you might want to buy online, can also predict the onset of diseases, forecast costs of care, and recommend treatment options for your doctors, nurses, and pharmacists.


Say Hi to EHI

By Kathryn Marchesini & Michael Lipinski – ONC’s information blocking regulations apply to interferences with the access, exchange, or use of electronic health information (EHI) (45 CFR Part 171) and define certain exceptions to the definition of information blocking. Thus, it’s important that those subject to the information blocking regulations –