The APEXamenity rounding tool identifies patients at a high risk for not-top-box responses on HCAHPS questions and tracks patients through the confirmation and resolution of patient concerns. Without AI, a nurse will need to visit as many as 50 patients to find one who’s actually going to provide a not-top-box reponse. For most hospitals, HCAHPS response rates have fallen to as little as 25%. The percentage of not-top-box varies from 5% to 40% meaning that all of your negative responses are coming from less than 10% of the population and, in some cases, less than 2%. Even if a rounding nurse actually visits a future complainer, we’ve found that many hesitate to report their issues. With a little persistence — and the insight to know which patients need it — your staff can give these Silent Saboteurs a voice and fix their issues before they show up on an anonymous HCAHPS survey.AI Provides Targeted Therapy for PEX
A Needle in A Haystack