A new algorithm developed by the Technion – Israel Institute of Technology helps doctors select more effective, personalized antibiotic treatments for patients. After doctors at Maccabi Healthcare Services adopted the algorithm for patients with urinary tract infections (UTIs), they saw a 35% drop in the need to switch a patient’s antibiotic regimen.
Maccabi first applied the algorithm to patients with urinary tract infections (UTIs) – the most common bacterial infection among women. Around 30% of women suffer from UTIs at least once during their lifetimes, and up to 10% experience recurrent infections. Until now, in most cases general treatment has been administered based on clinical guidelines and medical judgment. Sometimes, the bacteria prove to be antibiotic resistant, resulting in the need to change the treatment plan.
Yet after treating tens of thousands of cases with the new algorithm, Maccabi doctors saw a significant drop in the number of patients who need to switch antibiotic regimens, demonstrating that the algorithm is successfully identifying the right antibiotic for the patient.
