Digital Health Frontier
By John Halamka and Paul Cerrato - Affective computing and sentiment analysis can help clinicians read between the lines, allowing them to detect patients’ unexpressed feelings and subtle emotional cues that may signal subclinical disease—and much more.
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.
By John Halamka and Paul Cerrato - We must make a serious commitment to increase financial resources and provide better analytics for real world evidence/real time data in support of public health.