Digital Health Frontier Blog

By John Halamka and Paul Cerrato - It’s not about fame and fortune.

By John Halamka • October 20, 2022

By John Halamka and Paul Cerrato - AI-enabled algorithms can’t exist in an operational vacuum. To really benefit our patients, they need to be deployed with the help of an interprofessional team of experts and a set of “delivery science” principles that most developers are not aware of.

By John Halamka • October 12, 2022

By John Halamka and Paul Cerrato - The latest proposed rules from CMS and FDA emphasize the need for a balanced, nuanced approach to digital innovation.

By John Halamka • October 7, 2022

By John Halamka and Paul Cerrato - Challenging the status quo in technology and medicine can take a heavy toll, but history has demonstrated that it often yields measurable benefits for both clinicians and patients.

By John Halamka • September 29, 2022

By John Halamka and Paul Cerrato - Smartphone-based applications may help detect atrial fibrillation, warn clinicians about worsening mental status, and improve the management of heart failure.

By John Halamka • September 22, 2022

By John Halamka and Paul Cerrato - Every clinician knows that early detection is one of the most powerful tools we have in the war on cancer. Several computational tools are enabling us to make early detection a reality, at least in two specialties.

By John Halamka • September 15, 2022

By John Halamka and Paul Cerrato - Two recent studies strongly suggest that sepsis predictive algorithms may in fact be ready for “prime time.”

By John Halamka • August 31, 2022

By John Halamka and Paul Cerrato - A recent report points out that providers are not taking the necessary steps to secure the mobile devices connected to their network.

By John Halamka • August 25, 2022

By John Halamka and Paul Cerrato - A growing number of studies show that drug/gene interactions can influence how patients respond to specific medications. But there are barriers that prevent the full implementation of pharmacogenomic testing into routine clinical practice.

By John Halamka • August 18, 2022

By John Halamka and Paul Cerrato - Concerns about algorithmic bias and poor performance of the models have made many stakeholders more cautious about using these digital tools in patient care. That’s about to change.

By John Halamka • August 11, 2022