The World Economic Forum held in Switzerland in 2020 took a deep dive into the future of artificial intelligence in health care.
It is also using predictive analysis to develop algorithms that can evaluate COVID-19 patients and identify those at risk of developing more severe symptoms. Creating and evaluating algorithms using AI and ML are a focus of Kaiser’s Division of Research, and the stated goals of its Augmented Intelligence in Medicine Initiative, which is located in Northern California, are “to advance research methods, identify best practices and build capacity for effectively implementing and rigorously evaluating the use of AI/ML algorithms for diagnostic decision- making in real-world settings.”
annual meeting in Switzerland in 2020 predicted three major ways that AI will change health care by 2030. First, AI predictive care will identify factors such as inherited medical conditions, diet, the environment, income and stable housing, which can impact health, allowing physicians to recommend measures that patients can take to help prevent a disease from developing. Second, digital networks will connect health care centers, including hospitals, same-day surgery centers, clinics and even patients’ homes, so
“We see endless opportunities to deliver an even more personal, connected and convenient experience.” — Laura Wilt, Sutter Health chief digital officer
patients can get care at the most appropriate location, and health care personnel can go to the spot where they are needed the most. Third, good experiences aid recovery and create a better workplace, and
In December 2023, AIM- HI announced that it had awarded grants of up to $750,000 to allow five health care organizations across the country to carry out research projects using AI and ML. One project, at Parkland Health in Dallas, involves an AI/ML model for pediatric asthma care
AI will provide better experiences for both patients and staff, as it reduces wait times, improves workflows and takes on more
in safety net health settings, and the use of AI in diabetic retinopathy screening is the focus of another at San Ysidro Health in San Diego. The funding is for three years, and AIM- HI’s advisory committee will provide support by sharing best practices and lessons learned and advancing the use of AI and ML in healthcare. Looking farther into the future, the World Economic Forum’s
administrative tasks to relieve the burden on employees. “By learning from every patient, every diagnosis and every procedure, AI creates experiences that adapt to the professional and the patient. This not only improves health outcomes, but also reduces clinician shortages and burnout, while enabling the system to be financially sustainable,” the report concludes. Innovation and initiatives that explore new uses make the
24 NorthBaybiz
February 2024
Made with FlippingBook. PDF to flipbook with ease