image: Artificial intelligence (AI)-driven healthcare has potential to transform medical decision-making and treatment, but AI algorithms must be thoroughly tested and continuously monitored to avoid unintended consequences to patients. In JAMA Network Open, Regenstrief Institute President Peter Embí, M.D., calls for algorithmovigilance (a term he coined for scientific methods and activities relating to evaluation, monitoring, understanding and prevention of adverse effects of algorithms in healthcare) to address inherent biases in healthcare algorithms and their deployment. view more
Credit: Regenstrief Institute
INDIANAPOLIS -- Artificial intelligence (AI)-driven healthcare has the potential to transform medical decision-making and treatment, but these algorithms must be thoroughly tested and continuously monitored to avoid unintended consequences to patients.
In a JAMA Network Open Invited Commentary, Regenstrief Institute President and Chief Executive Officer and Indiana University School of Medicine Associate Dean for Informatics and Health Services Research Peter Embí, M.D., M.S., strongly stated the importance of algorithmovigilance to address inherent biases in healthcare algorithms and their deployment. Algorithmovigilance, a term coined by Dr. Embí, can be defined as the scientific methods and activities relating to the evaluation, monitoring, understanding, and prevention of adverse effects of algorithms in healthcare.
"We wouldn't think of treating patients with a new pharmaceutical or device without first ensuring its efficacy and safety," said Dr. Embí. "In the same way, we must recognize that algorithms have the potential for both great benefit and harm and, therefore, require study. Also, compared with drugs or devices, algorithms often have additional complexities and variations, such as how they are deployed, who interacts with them, and the clinical workflows where interactions with algorithms take place."
The commentary was in response to a study from IBM scientists evaluating different approaches to debiasing healthcare algorithms developed to predict postpartum depression. Dr. Embí stated the study suggests that debiasing methods can help address underlying disparities represented in the data used to develop and deploy the AI approaches. He also said the study demonstrates that the evaluation and monitoring of these algorithms for effectiveness and equity is necessary and even ethically required.
"Algorithmic performance changes as it is deployed with different data, different settings and different human-computer interactions. These factors could turn a beneficial tool into one that causes unintended harm, so these algorithms must continually be evaluated to eliminate the inherent and systemic inequities that exist in our healthcare system," Dr. Embí continued. "Therefore, it's imperative that we continue to develop tools and capabilities to enable systematic surveillance and vigilance in the development and use of algorithms in healthcare."
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"Algorithmovigilance--Advancing Methods to Analyze and Monitor Artificial Intelligence-Driven Health Care for Effectiveness and Equity" was published in JAMA Network Open.
Peter Embí, M.D., M.S.
In addition to serving as the president and CEO of Regenstrief Institute, Peter Embí, M.D., M.S. is the Leonard Betley Professor of Medicine and associate dean for informatics and health services research at Indiana University School of Medicine, associate director of informatics with Indiana Clinical and Translational Sciences Institute and vice president for Learning Health Systems with Indiana University Health.
About Regenstrief Institute
Founded in 1969 in Indianapolis, the Regenstrief Institute is a local, national and global leader dedicated to a world where better information empowers people to end disease and realize true health. A key research partner to Indiana University, Regenstrief and its research scientists are responsible for a growing number of major healthcare innovations and studies. Examples range from the development of global health information technology standards that enable the use and interoperability of electronic health records to improving patient-physician communications, to creating models of care that inform practice and improve the lives of patients around the globe.
Sam Regenstrief, a nationally successful entrepreneur from Connersville, Indiana, founded the institute with the goal of making healthcare more efficient and accessible for everyone. His vision continues to guide the institute's research mission.
About IU School of Medicine
IU School of Medicine is the largest medical school in the U.S. and is annually ranked among the top medical schools in the nation by U.S. News & World Report. The school offers high-quality medical education, access to leading medical research and rich campus life in nine Indiana cities, including rural and urban locations consistently recognized for livability.
Journal
JAMA Network Open