AI is making big waves to tackle healthcare challenges

Held this week in Chicago, the HIMSS Global Health Conference takes center stage in discussing artificial intelligence and its role in healthcare, bringing together more than 35,000 physicians, other workers, executives and engineers to discuss the latest advances in health and technology. discussed.
Companies like Microsoft, Google, and Amazon will prominently promote AI’s new health applications in sprawling show floor booths, and panels of experts will address industry-wide challenges such as staff shortages and physician burnout. CNBC reported that it answered questions about how the technology could be used to .
Many healthcare organizations and companies have been using AI in various capacities for years, but late last year, when Microsoft-backed OpenAI launched a viral new chatbot called ChatGPT, generative A subset known as AI has become generally known.
Generative AI refers to programs that can generate text and images with fairly complex prompts from end users.
Just as generative AI has captured the attention of the general public, so has the medical community.
AI is the focus of the opening keynote of the HIMSS conference, where HIMSS CEO Hal Wolf kicked off the discussion by revealing that he asked ChatGPT how to solve global healthcare challenges . The Health Information Management Systems Society (HIMSS) organizes this conference annually.
While Wolf jokingly posed the question to ChatGPT, Microsoft’s global chief medical officer, David Rhew, said in an interview on CNBC that generative AI could really be “transformative” to solve big problems in the healthcare industry. says it’s possible.
“There are so many opportunities to apply these large-scale language models and artificial intelligence to clinical workflows that we need to do it responsibly,” he said.
For Rhew, that means starting with “high-impact, low-risk” uses of technology, such as streamlining administrative tasks.
Developing diagnostic or direct-to-patient generative AI applications is risky as it poses significant regulatory challenges for companies, academic institutions, and federal agencies such as the Food and Drug Administration.
Rhew said AI thinks as if the healthcare industry had just been introduced to cars, and stop signs, traffic lights and roads hadn’t been created yet.
“We still have to figure out how to do this together,” he said.
But for the time being, less regulatory oversight is required for administrative or “back office” tasks, and efficient solutions are truly needed.
A 2016 study funded by the American Medical Association found that for every hour doctors spent with their patients, they spent an additional two hours on administrative tasks. Physicians are more likely to spend an additional hour or two on office work outside of work hours, according to the study.
Similarly, in 2017, the Journal of the Association of American Medical Colleges published a study, in which respondents said about 24% of their work hours were spent on administrative tasks. More than two-thirds of his surveyed physicians report that administrative responsibility “has a negative impact on their ability to provide quality care.”
A HIMSS attendee told CNBC that he believes generative AI can help with these tasks.

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