evidence-based data analysis to improve outcomes and treatment processes for common conditions. “ Well-known examples include inpatient pneumococcal vaccination, venous thromboembolism prophylaxis requirements and achieving quick door-to-balloon time for ST- elevation myocardial infarction” (Bennett, 2016). These core measures were all made a priority after the input from clinical professionals, health care organizations, and health care consumers was analyzed and there was an obvious need for process improvement to better outcomes. There has to be measurable elements and indicators to track issues and then once identified to track progress. Statistical application is happening in the background in the hospital setting all the time without nurses even realizing it. Sepsis infections and death rates in hospitals where rising due to sepsis infections. Data was then collected. An example in the Long-Term Acute Care setting is Sepsis Screening that uses algorithms as values (heart rate, blood pressure, respiratory rate, white blood cell count, temperature, blood sugar, is there a known infection, and is there altered mental status) are put into the health record to help early detection for patients who may be at risk for sepsis. Sepsis can be difficult to diagnose and accounts for 750,000 hospital admissions each
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- Spring '14
- Health care provider, Sepsis