AI is reshaping the medical landscape
When Google, Alphabet, Amazon and Tencent are all going after healthcare and health tech you know a big shift is coming to the future of healthcare globally.
They will essentially get their tentacles into our healthcare data before there is AI regulation that protects us. Healthcare is a 3 Trillion U.S. industry and artificial intelligence will forge new BioTech giants that will dominate the 2030s and 2040s.
AI could be simply defined as computers and computer software that are capable of intelligent behavior, such as analysis and learning. However how this scales with our health data, diagnosis and patient centric care is really interesting.
Google’s “Medical Brain” AI division, Amazon’s 1492 healthtech division and Apple Watch’s approach to monitoring are rather serious endeavors. These are just, however, scratching the surface of what the public knows about this domain.
AI will impact healthcare and our health data in ways we cannot even ascertain well in 2019.
- Prediction of patient outcomes for hospital management
- Superior diagnosis than what most doctors are capable of doing today in multiple areas
- Disease detection at early stages
- Medical image processing
- Precision treatments
- Virtual assistants
- Drug creation
- Cost reduction
- Voice-AI mechanisms to automate staff
- Robotics & Voice-AI skills to deal with senior management / aging populations
Deep learning is now able to making inferences based on the data it has encountered before. Feed it more data like that which exists in healthcare and you can get very good ideas of how AI will impact not just healthcare but nearly every possible diagnosis, process, outcome and doctors with better data on everything.
Robot surgeons will soon be able to out-perform doctors for many routine surgeries. Medical technologies will accelerate in their adoption. AI will become more implicated in pharma and drug testing. AI has a radical potential to alter the way we age, the way we monitor ourselves and the way we live our lives as a whole.
In short, the emergence of AI in healthcare will change how we see medical data and our patient experiences forever. We won’t have a choice to opt-in or opt-out of these systems, they will just be the new version of how healthcare works.
There are more than 12 million serious diagnostic errors each year, in many places the quality of healthcare isn’t the best. It’s still early in the integration of A.I. into medical practice, and there could be a lot of dangers giving our most personal data to companies that already collect our data for their own profits.
In a rough estimate, we might say AI market is set to experience a compound annual growth rate of 40 percent through 2021, largely because AI has the potential to improve health care outcomes by 30 to 40 percent while simultaneously cutting the costs of treatment in half. Because of this, adoption will be more or less across the board and easy, in spite of the lack of AI regulation. We’ll mostly be going in blind just to save costs, because healthcare’s ballooning costs are a serious threat to the global economy in the next thirty years.
Primary care physicians spend more than one-half of their workday, nearly 6 hours, interacting with the EHR (electronic health record). So the entire EHR needs to be reorganized with AI so as to reduce this massive medical admin time wastage. This will mean our healthcare data will be re-packaged by smarter AI, likely by firms like Amazon and Google. That will give some companies a lot of power and leverage.
AI has the potential to drastically reduce this time by making EHRs and other documents and processes more efficient. But AI has the potential to do a lot of things, dozens or hundreds of things in the way we approach our health, everything from prevention, to self-monitoring, to diagnosis and treatment. This including also how we handle our social, family, financial and emotional aspects of our health.
We are just in the infancy of AI’s impact on healthcare, but for some of us by the time we are senior citizens, we might be treated in an entirely new way with its own pros and cons in a healthcare system that’s more automated and where our data is part of the puzzle.
Healthcare in the smart home will explode and some companies are well positioned to dominate that. As more exponential technologies mature like 3-D printing, Genomics and BioTech like nano-technology, how we even conceive of healthcare will also change. Access to various levels of healthcare will vary greatly in a technocracy of capitalism. This will include active enhancements and not just treating disease and conditions.
Date: June 12, 2019