As we know, when it comes to technology, doctors are from Venus and technologists are from Mars. So, it is commendable that Dr. Anthony Chang, the organizer of the AI in Medicine Conference, was able to get both in the same orbit in impressive numbers from countries around the world.
As a result, outsiders from a wide range of industries from Forumula 1 racing to Google, are sharing ideas about how to apply data lessons learned with sick care practitioners. Here are some of their observations:
- The idea is to scale, not replace, humans with AI
- There are many companies that provide data services to hospitals and they are trying to figure out what they offer: Data as a service? Data science as a service?
- New business models are evolving. What if companies charged by the bot/time, much like power charges for a kilowatt/hour? Supply you could donate your bot time to the grid and get credit or unused capacity?
- Everyone is sensitive to the hype cycle and shiny new objects and there are trying to under deliver and over perform
- Humans evolve through tools and AI is no different. Technologies drive innovation
- Sick care has increasingly become a data business that happens to take care of patients. We need a mission control to manage it all
- Sick care will be fixed from outside in
- We are a long way from artificial general intelligence or anything really “brain like”. Like the internet, no one can predict the impact and unintended consequences it will have on society. Elon Musk thinks AI is far more dangerous than nukes.
- Robotic process automation and computer vision, particularly as it applies to pattern recognition specialties, like radiology, is the tip of the spear. AI has already been implemented in a number of different ways in healthcare. There are three main areas of use: clinical decision support, clinical trials and hospital operations.
- Integrating data is so 50’s. The new thing is outegrating data.
- Global data awareness is the new platform
- Data is the new oil. Those who produce and control it will make fortunes
- We are today in AI where computers were in the days of mainframes. Democratizing AI is the new frontier
- Trust in AI will depend on security
- Patient control of data will depend on trust
Some day soon, the new invisible hand of AI will be part and parcel of how doctors take care of patients. But, like an AI algorithm, it will take a lot of trial and error to avoid crashes.
By Arlen Meyers, MD, MBA is the President and CEO of the Society of Physician Entrepreneurs
Arlen Meyers is a professor emeritus of otolaryngology, dentistry, and engineering at the University of Colorado School of Medicine and the Colorado School of Public Health and President and CEO of the Society of Physician Entrepreneurs at www.sopenet.org . He has created several medical device and digital health companies. Most of them failed. His primary research centers around biomedical and health innovation and entrepreneurship and life science technology commercialization.
He consults for and speaks to companies, governments, colleges and universities around the world who need his expertise and contacts in the areas of bio entrepreneurship, bioscience, healthcare, healthcare IT, medical tourism — nationally and internationally, new product development, product design, and financing new ventures.