Artificial Intelligence in Healthcare Has Benefits, But Also Challenges That Must Be Rectified: Experts

The technology needs to be examined to ensure it doesn’t create inequities in healthcare, panel hears.

Artificial Intelligence in Healthcare Has Benefits, But Also Challenges That Must Be Rectified: Experts
Screenshot of the Atlantic event in late June

WASHINGTON, July 11, 2022 – While the use of artificial intelligence in healthcare has been lauded by some, experts said at an Atlantic event late last month they are concerned that inaccurate data can also hamper progress in the field.

Artificial intelligence has been used widely across the medical field to analyze relationships between medical providers and patients to improve equality of care, including providing patient risk identification, diagnostics, drug discovery and development, transcribing medical documents, and remotely treating patients.

Carol Horowitz, founder of the Mt. Sinai Institute of Health and Equity Research, argued that while AI plays a substantial role in diagnosing health problems at earlier stages, diagnosing patients more quickly, providing second opinions in diagnoses, enhancing scheduling abilities, stimulating hospital workflow, and finding drug availability for a patient as in dermatology, therapeutics, or population health, it’s not a golden ticket.

She reasoned that it “can reflect and really exaggerate inequities in our system,” negatively affecting healthcare equity among patients.

She stated that AI tools have led to inaccurate measurements in data that have proved harmful to individuals’ health. Horowitz shared the example of faulty AI technology during March 2020 meant to allow individuals to self-monitor their own oxygen levels as a precautionary method to the COVID-19 pandemic but led to inaccurate pulse readings for those with darker skin, and inaccurate data gathering, resulting in delayed treatment for many in need.

Michael Crawford, associate dean for strategy of outreach and innovation at Howard University, added that if these certain mismeasurements and flaws in the technology are not addressed, “AI could increase disparities in health care.”

Alondra Nelson, head of the White House Office of Science and Technology Policy, said when it comes to assessing AI technology innovation for the future, there are both cost and benefits, but we must find “where can we move forward in ways that don’t harm human society but that maximize human benefits.”

As we grapple with how to implement this technology, “we must do science and technology policy that always has equity at the center” for future innovation, said Nelson.

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