Digital Health Frontier Blog
By John Halamka and Paul Cerrato - In addition to evaluating the safety of software as a medical device (SaMD), the agency needs to devote more resources to evaluating its efficacy and quality.
By John Halamka and Paul Cerrato - By providing a safe, secure environment, novel approaches enable health care innovators to share data without opening the door to snoopers and thieves.
By John Halamka and Paul Cerrato - The three risk assessment tools now in use fall far short. Using the latest deep learning techniques, investigators are developing more personalized ways to locate women at high risk.
The evidence is mixed but suggests that these overlooked variables have a profound impact on each patient’s journey.
By John Halamka and Paul Cerrato - To convince physicians and nurses that deep learning algorithms are worth using in everyday practice, developers need to explain how they work in plain clinical English.
By John Halamka and Paul Cerrato - Advances in artificial intelligence are slowly transforming the specialty, much the way radiology is being transformed by similar advances in digital technology.
By John Halamka and Paul Cerrato - Dataset shift can thwart the best intentions of algorithm developers and tech-savvy clinicians, but there are solutions.
By John Halamka and Paul Cerrato - A growing body of research suggests it’s time to abandon outdated ideas about how to identify effective medical therapies.
By John Halamka and Paul Cerrato - Innovation in healthcare requires new ways to think about interdisciplinary solutions.
By John Halamka and Paul Cerrato - Keeping patient data private remains one of the biggest challenges in healthcare. A recently developed algorithm from nference is helping address the problem.