Digital health and it’s associated health technologies (mhealth, wearable tech, health IT, etc.) is poised to become the next societal revolution. Fascinating and exciting new developments are happening every day in this space and when you factor in the amount of data that will be generated and all the new products and technology that will need to explained there’s an accompanying enormous need to visualize the data and visually explain the technology.
I follow digital health topics closely and I see a lot of missed opportunities to represent things visually. So, as a visual thinking proponent, it’s gratifying to come across examples where digital health is explained visually or visualization in the field is championed
Here’s a few examples that I’ve come across recently.
AOL launched it’s new video tech show Hardwired Tech and in it’s first episode, show host iJustine covers mobile health and wearable tech. Nice extra touch with the data visualization motion graphics used throughout the video to help convey the sense of the data be captured and reported.
The IBM Watson Cancer Diagnosis and Treatment Adviser demo shows the interactions of a hypothetical oncologist and patient as they move through consultations, tests, treatment options, patient preferences and pre-authorization. It showcases IBM Watson’s capabilities in natural language processing, hypothesis generation and evaluation, and machine learning.
Pricewaterhouse Coopers scored big in my book with this animated video explanation that shows how rising costs, market pressures, and scientific advancements are creating new opportunities for growth in health care.
They’ve also created a visual timeline to show how stakeholders will be impacted by the rollout of ACA.
And lastly, Dave Dickinson, Former CEO of Zeo, wrote an article last week, Can personal health data motivate behavioral change? It depends., in which he says that the presentation of the data matters in trying to get personal health data to motivate behavioral changes.
Motivating behavioral change through data visualization can be very powerful, but it is more of an art than a science. We will need far more artists, user interface experts and psychologists to help make our data work harder to motivate better health. Yes, it will take a village of talent, but I believe a far more creatively diverse one than most technology-based innovators may feel comfortable residing within.