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Can AI Inspire Medical Creativity?

Posted on November 16, 2018 I Written By

Anne Zieger is veteran healthcare consultant and analyst with 20 years of industry experience. Zieger formerly served as editor-in-chief of and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also contributed content to hundreds of healthcare and health IT organizations, including several Fortune 500 companies. Contact her at @ziegerhealth on Twitter or visit her site at Zieger Healthcare.

As the capabilities of healthcare AI tools grow, vendors continue to insist that as with previous generations of technology, AI will simply do the grunt work and free doctors’ minds up for higher uses.

For what it’s worth, the research strongly suggests that this is true.  By all accounts, we are incalculably far from creating technology that can think like a trained human or apply empathy and insight to complex problems.

In the meantime, we may see some unexpected benefits from watching AI tackle healthcare problems. According to Nick Peters, a professor of cardiology and head of cardiac electrophysiology at Imperial College London, observing AI at work may jog physicians’ creativity and push them in directions they never would’ve gone otherwise.

Peters, whose article appears on the World Economic Forum website, believes that because AIs, well, think different(ly), they can sometimes inspire their human partners to try new things. “Machines are beginning to challenge human imagination in a way that may not have been anticipated, and which could…unleash a revolution in creativity,” he asserts.

Among the first changes this revolution may bring in a shift in how we track health. Peters argues that while we currently assess a patient’s status by measuring phenomena like blood pressure, respiration, and pulse, AI will replace these measures with subtler approaches.

Over time, we will use machine learning to identify other signals derived from the use of consumer devices which serve the care process better, Peters argues. “It will enable entirely new fields of cheaper, better and more cost-effective clinical science to emerge that may supersede blunt measurements such as the likes of blood pressure,” he writes.

He predicts that the data which will identify these pathways will spring in part from devices like the Apple Watch 4, which incorporates an ECG. These smart consumer devices, in turn, will eventually be able to alert and recruit a nearby citizen who has registered their competence to deliver CPR, he notes. This could have a major impact on survival rates for time-sensitive problems like cardiac arrest, Peters writes.

As interesting as his observations are, the article is too short. I do wish Peters had extended his argument further and attempted to answer more questions about the impact of AI and analytics on medical practice.

For example, if we are poised to discover health measures which take the place of basic metrics like blood pressure checks, how will we determine whether these new measures deliver the kind of results the old-fashioned ones do? What other medical processes will be transformed, and how?  Also, should we focus AI development on finding alternative approaches to traditional care processes or are they just side benefits that might evolve out of other useful analysis?

Still, merely by envisioning AI as a spur to healthcare creativity, Peters has done us a service. Perhaps physicians will benefit from inevitable differences in which humans and AI software process information rather than working at cross-purposes.

The Challenge of FDA Clearance

Posted on March 16, 2017 I Written By

John Lynn is the Founder of the blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of and John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

As I’ve talked to 100s of companies creating devices for healthcare, there’s inevitably the question: “Are you FDA cleared?” There answer usually tells me a lot about the company and what their goals are for the product. Generally, it’s a question of if they’re going to go after the consumer space (ie. no FDA clearance) or after the medical market (ie. FDA clearance preferred).

In a few cases, I’ve talked to companies like EarlySense that have an FDA cleared product for hospital beds and a non-FDA cleared product for consumers. It was interesting to hear the reasons why they chose to release a non-FDA cleared product for consumers since they already knew they had the capability to go through the FDA clearance process. Their answer to me was instructive.

The core of their response was that FDA clearance is not a one time event and so this limits their ability to iterate and release product updates.

For anyone working in the startup world, it runs completely counter to the startup culture. The idea of iterating quickly and often is part of the mantra of most startup companies in silicon valley and now around the world. The FDA’s clearance process runs almost completely counter to this idea.

With this type of restriction, it makes sense why so many companies would avoid FDA clearance and just create a direct to consumer product that doesn’t require FDA clearance. The ongoing FDA clearance requirements can be a bear. What company wouldn’t want to bypass it and just iterate as they please?

The challenge with this approach is that there are reasons that FDA clearance is so challenging. First, it searches to provide a level of safety as far as what’s being implemented and the results of the device actually being tested and confirmed. Second, it creates a trust that most doctors (and their malpractice and insurance companies) want to see before using it.

Certainly, we could argue about how effective the FDA clearance is about ensuring safety and results, but that’s a topic for another day. If nothing else, it requires many organizations to think deeply about what the safety of the patients that are impacted by the device and consider the promises they make to customers. Those are two things that are missing in my consumer health devices and apps.

It’s a tough balance and I don’t think we’ve fully figured it out. How do you ensure safety and efficacy while still allowing the entrepreneurial spirit of innovation to thrive?