All eyes have been on the U.S. since Donald Trump won the election last November. So far, outcomes have been mixed: on one hand, the Dow Jones Index has witnessed a historical surge since his election win, rising from just below 18,000 to above 21,000. The U.S. Dollar Index has seen similar benefits, strengthening from just below 97 to nearly 102 in early April. While these factors play along with Trump’s campaign slogan to “Make America Great Again,” not all policy changes were welcomed and many have seen substantial criticism. Continue reading
While traditional medicine puts an emphasis on affected organs or systems, digital solutions are exploiting commonalities between seemingly unrelated medical conditions. These commonalities are redrawing the disease landscape, thereby impacting medical care and disease management. To understand these commonalities, a disease-connection framework is needed between the six key facets of digital health – monitoring, diagnostics, predictive analytics, therapeutics, assistive technology, and behavior augmentation – and key conditions of today and the future. For simplicity, we can focus on 12 conditions with a wide range of causes, symptoms, and severity levels as examples. Critically, while these conditions may seem unrelated on the surface, over 65 unique connections can be made through digital health’s six key facets, thereby defining where the best opportunities lie and where white spaces exist.
Of all disease management aspects, behavior augmentation has the most connections among the 12 diseases shown. That is because behavioral risk factors are common to numerous diseases, including diet and exercise, for example. While behavior augmentation has the most connections, it ties with both monitoring and assistive technologies for the most diverse set of connections, or the most types of connections. This is not surprising, as solutions that fall into these three categories – monitoring, assistive technology, and behavior augmentation – are not necessarily required to be disease-specific, and can therefore be applied across the disease spectrum.
Looking instead from a disease perspective, epilepsy is most connected, with 17 facet-based connections to other diseases. Continue reading