Generative artificial intelligence has exploded in popularity in recent months, after OpenAI’s ChatGPT wowed the public with its achievements. But healthcare remains an area of great skepticism, according to new research from GE Healthcare (GEHC).
At least 55% of medical professionals say AI is not ready for medical use, according to GE’s global survey. Globally, 42% of those who asked said they thought AI could do it, while only 26% in the United States. Please be trusted. The survey involved 7,500 physicians, physician assistants, public health physicians and other clinicians, patients and patient advocates from eight countries.
Dr. Taha Kashout, chief technology officer at GE Healthcare and an advocate for the use of AI and technology in healthcare, said she understands the concerns found in the study, which echoes a recent study in the medical journal BMJ. was also reflected. (“Risks associated with medicine and healthcare include the potential for AI errors to harm patients and data privacy and security issues,” BMJ said.)
…that experience sucks.It’s really, really hard to get the data outDr. Taha Kashout, CTO, GE Healthcare
Kashout said it’s important to start addressing the needs and pain points of clinicians. Clinicians often have to deal with unintuitive or difficult-to-use technology in their work. Electronic medical records, also known as electronic medical records (EMRs), are a prime example.
“Right now we have engineers designing the system. The EMR is the system of record for the data, it aggregates all the information, but every clinician has to go there. It’s the worst.
Involving clinicians in the design of the system is also important, especially since 42% of those surveyed said they were actively considering leaving the industry.
This retirement is the result of significant burnout due to the pandemic and a general shift in overall job satisfaction. The introduction of AI could push many workers, especially the elderly, over the edge.
However, he noted that there are many areas where AI is already being used successfully, such as medical imaging and health data collection and analysis.
Kass-Hout noted that radiologists, for example, can spend hours analyzing layers and angles of an image to pinpoint the exact location of a cancer. Due to the AI the search he could be shortened to 15-20 minutes.
“As you can imagine, that time goes back to the radiologists, so we’re really… doing the heavy lifting and the problems that we’re trying to solve with this clinical workflow. ‘ he said.
But he also knows that trust is a big barrier for both patients and clinicians. A GE survey found that 39% of patients said they didn’t feel their health data was kept safe.
“Training is very important, not just giving them manuals to read,” Kashout said.
Meanwhile, there are growing concerns about how to regulate AI in general, with the FDA grappling with how to regulate the use of AI and digital tools in industry. New rules can go a long way in helping employees feel more comfortable with new technology.
That said, Kashout hopes AI will be adopted quickly and easily.
“When Fahrenheit invented the thermometer, it took 100 years for it to be adopted and trusted. I hope AI doesn’t take 100 years,” he said.
Follow Anjali Kemlani Twitter @AnjKhem
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