By Kathryn Marchesini & Rachel Nelson – As you design, market, and distribute a mobile health app that your customers will use to collect, share, use, or maintain individuals’ health information, here are U.S. federal laws that apply.Read More
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.
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.
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.
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 –
This Just In aired live in Atlanta for its first ever Summer HITs episode. Along with several Atlanta health IT executives and innovators, Justin had 3 very special guests from the ONC call in. Listen to what they had to say.
By Kathryn Marchesini JD & Timothy Noonan JD – Twenty-two years ago this month, the U.S. Congress enacted the Health Insurance Portability and Accountability Act of 1996 (HIPAA).
By Kathryn Marchesini, Helen Caton-Peters, & Lucia Savage – Through the proliferation of software applications and mobile technology, the amount of identifiable health information being collected, analyzed, and used is growing exponentially. As the volume, velocity, and variety of such information activities continue to grow,