Tag : ELECTRONIC HEALTH RECORD

Severe hypoglycemia (SH), a dangerously low blood glucose level (<70mg/dL) that requires assistance from a third party, is a major concern for older adults with diabetes. Beyond the immediate medical emergency, SH is associated with a range of serious consequences, including prolonged hospitalizations, higher healthcare expenditures, increased risks of cardiovascular disease, falls, cognitive decline and elevated mortality. In response to this clinical challenge, researchers from CU Medicine developed a novel machine learning (ML) model capable of predicting the one-year risk of SH requiring hospitalization in older adults with diabetes. This predictive tool has the potential to enable targeted interventions and improve diabetes management outcomes in this high-risk population.