Sepsis model’s ability to predict depends on hospital factors, finds research

In the fight against sepsis, one of the leading causes of death in hospitalized patients, clinicians are increasingly reliant on prediction tools trained on massive amounts of data stored in electronic health records. One of the most popular tools comes from Epic Systems and is used in more than half of United States hospitals. However, research has shown that its performance varies depending on the hospital in which it’s being used.