Urinary tract infections (UTIs) impose significant health and financial burdens, AI allows providers to intervene accordingly
Urinary tract infections (UTIs) are the most common infections treated in outpatient settings in the United States (1). UTIs are also the fifth most common type of hospital-acquired infection, with an estimated 62,000 infections occurring annually in acute care hospitals (2). Each year, UTIs are responsible for approximately 400,000 hospitalizations, an estimated seven million office visits, and one million ED visits, resulting in roughly $10 billion in expenditures related to UTI care (3).
UTIs can lead to serious complications, especially for older adults, and may also be difficult to distinguish from asymptomatic bacteriuria (ASB). Catheter-associated urinary tract infections (CAUTIs) can lead to prolonged length of stay, sepsis, and increased costs and mortality. Annually, more than 13,000 deaths are associated with healthcare-acquired UTIs (2). Differentiating UTIs from ASB in older adults is challenging, as ASB is estimated to be found in up to 16% of women older than 65 (4). In long-term care facilities (LTCs), ASB prevalence may be as high as 50% (4). ASB also remains a common reason antibiotics are prescribed, but studies have indicated that up to 75% of antimicrobial use is inappropriate (4). This potential overutilization of antibiotics can lead to serious complications (e.g. C. difficile infection).