Digital Health Frontier Blog
By John Halamka and Paul Cerrato - A better understanding of proteomics, genomics, and a variety of other biomarkers can help personalize patient care and shed new light on human physiology and pathology.
By John Halamka and Paul Cerrato - Most AI-driven algorithms take the clinician from A—the ailing patient—to D—the final diagnosis—ignoring intermediate steps B and C in the diagnostic journey. There is a better way.
By John Halamka and Paul Cerrato - Once considered a revolutionary way to keep patient data secure and easily accessible, the technology continues to look for its sweet spot.
By John Halamka and Paul Cerrato - Personalized nutrition therapy that takes into account one’s genotype has tremendous promise, but the evidence supporting its use in routine patient care is mixed.
By John Halamka and Paul Cerrato - The medical Internet of Things is filled with many valuable devices--and a few questionable ones. It’s critically important to separate clinically validated tools from marketing hype.
By John Halamka and Paul Cerrato - Working “in the cloud” may not be a panacea to solve all your organization’s problems, but the benefits outweigh the risks.
By John Halamka and Paul Cerrato - The Interoperability and data blocking regulations mandated by the 21st Century Cures Act may pose a challenge to providers, IT developers, and health information exchanges, but implementing the rules has the potential to significantly improve patient care.
By John Halamka and Paul Cerrato - Combining genetic sequencing, life-style modification, and personalized drug therapy will transform health care.
By John Halamka and Paul Cerrato - An analysis of over 2 billion lab test results suggests a deep learning model can help create personalized reference ranges, which in turn would enable clinicians to monitor health and disease better.
By John Halamka and Paul Cerrato - AI and machine learning have the potential to redefine the management of several GI disorders.