Digital Health Frontier Blog
By John Halamka and Paul Cerrato — What happens when ChatGPT-4 and a human cardiologist are asked to diagnose the same patient? The results are quite revealing.
By John Halamka and Paul Cerrato — Several thought leaders and stakeholders have joined forces to create GoodDx.org, a searchable database that has the potential to reduce the human suffering affecting millions of Americans.
By John Halamka and Paul Cerrato — The agency recently posted new recommendations for AI developers who want to update their software as a medical device (SAMD). The document offers what we hope will be a less burdensome way to manage the Predetermined Change Control Plan.
Guest post by Sonya Makhni — Understanding their limitations, defining the best use cases, and closing the gaps in transparency and trustworthiness are the keys to responsible LLM adoption.
By John Halamka and Paul Cerrato — Developing and implementing AI-driven algorithms in health care has proven far more complicated than we first imagined. The new Coalition for Health AI (CHAI) guidelines provide the much-needed blueprint.
By John Halamka and Paul Cerrato — Shared decision-making doesn't mean encouraging patients to take the path of least resistance. Prescribing lifestyle changes may not put a smile on their faces, but the long-term benefits often outweigh the risks of lifelong dependence on prescription medication.
By John Halamka and Paul Cerrato — New digital tools are a two-edged sword that come with a unique set of benefits and risks. We need a regulatory framework to manage them responsibly.
By John Halamka and Paul Cerrato — With over 10,000 mental health apps available, it’s difficult to know which ones will actually have a therapeutic impact. Fortunately, enough high-quality evidence is available to help clinicians and patients make an informed choice.
By John Halamka and Paul Cerrato — The bionic man and woman are no longer fictional TV characters. With the help of state-of-the-art digital technology, they’re your next-door neighbor.
By John Halamka and Paul Cerrato — The National Institute of Standards and Technology recently published a framework that will help health care providers assess AI trustworthiness, explainability, and bias.