Hospital studies identify better way to prescribe best antibiotic for patient

In clinical trials involving 220,000 patients at 59 HCA Healthcare hospitals, algorithm-driven computerized alerts helped clinicians better identify the appropriate antibiotic for 28% of patients with pneumonia and 17% of patients with urinary tract infections, according to studies funded by the Centers for Disease Control and Prevention published April 19 in JAMA. To reduce antibiotic resistance, physicians treating patients with a low risk for antibiotic-resistant bacteria were prompted to give standard-spectrum antibiotics.

"Pneumonia and urinary tract infections are two of the most common infections requiring hospitalization and a major reason for overuse of broad-spectrum antibiotics," said Sujan Reddy, M.D., medical officer in CDC's Division of Healthcare Quality Promotion. "The INSPIRE trials have found a highly effective way to help physicians follow treatment recommendations to optimize antibiotic selection for each patient. These trials show the value of harnessing electronic health data to improve best practice."