- A new predictor-informed distribution model that leverages artificial intelligence, developed by researchers at OSF Healthcare and the OSF Innovation group, eased the workflow of cancer patient navigators while limiting burnout and improving work-life balance.
Given the severity of the condition, a cancer diagnosis can be very taxing. In response, cancer patient navigators must dedicate a great deal of time and attention to patients throughout the care process. The demands of the job, however, can be complex as they must provide education, advocacy, and support. These, combined with the growing number of cancer patients, often lead to burnout among navigators.
At the largest hospital within OSF HealthCare, Saint Francis Medical Center in Peoria, Illinois, 15 cancer patient navigators aim to support patients based on their cancer type. However, the workflows often result in certain employees taking on more work than others, according to the press release. Due to the goal of creating and maintaining integral patient relationships, the work is often non-transferable.
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