5 Challenges Facing Healthcare AI in 2022

healthcare AI

5 Challenges Facing Healthcare AI in 2022 

Artificial intelligence (AI) is reshaping healthcare across many specialties. As more AI algorithms are used in the healthcare setting, our industry will need to address the concerns and barriers to implementation. This week’s Domain Knowledge focuses on the challenges facing healthcare AI and potential ways to address them.

Building trust in new technology is a longstanding hurdle when it comes to healthcare. The article AI Could Revolutionize Healthcare. But Can We Trust It? discusses the perception around AI technology. Getting people to trust AI is essential for effective integration, but equally important is avoiding ‘overtrust’ in its capabilities by keeping doctors informed and involved in the process.

Another challenge lies in addressing the misconception that AI will replace the need for doctors, which is outlined in How radiologists can avoid becoming ‘invisible’ in the artificial intelligence era. The goal of healthcare AI is to support the work being done by the physician and allow them to focus on patient care. The article also offers strategies radiologists can use to have success working with AI.

The annual Optum survey referenced in Most healthcare executives have an AI strategy but only half have implemented it validates findings from previous years. Highlights include 96% of those surveyed say AI is a key part of achieving health equity goals while most (94%) agreed that institutions are challenged with the responsibility for ensuring artificial intelligence is used appropriately.

Another challenge to the use of AI is the lack of transparency from the FDA. Food and Drug Administration (FDA) pertaining to regulated artificial intelligence and machine learning (ML) algorithms highlights this issue and lists the lack of sufficient information on validation of AI/ML algorithms in FDA regulated algorithms as a key concern. 

Finally, responsible use of AI in an effort to reach health equity goals will be key this year. With the COVID-19 pandemic highlighting shortcomings in healthcare equity, it is more important than ever to safely implement AI, including in non-clinical and administrative processes, in order to improve the patient experience.

That’s a wrap for this week’s review of news and happenings in the healthcare AI space. In closing, I’ll leave you with an invitation to learn more about the benefits of using an AI Hub to manage multiple applications across your clinical needs and offer you a personal demo of Ferrum’s platform and growing AI catalog.

If you have AI tips, suggestions, or resources you’d like to share leave us a note below, and please feel free to suggest topics you would like to see covered in future posts.

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Alex Uy

Alex is a recent UC San Diego graduate with a degree in economics and communications. His focus is digital marketing, and he has a passion for technology driven healthcare solutions.

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