The Missing Link – Making the Data Hospitals Collect, Actionable

Ryan FoxBlog

A student is working towards a college degree and is nearing the end of his term. He has one class left before he is able to graduate. During the course, the teacher informs the students that she will gather all of their work throughout the semester from various exercises and projects, but will not be able to give them a performance score until the very end of the course. The student works throughout the semester and believes he is doing well but has no way to be sure.

At the end of the semester, the professor compiles all the data and returns the performance scores to the students one month after the semester ends. The student comes to the dreadful realization that he did not pass the course, and he will have to take the course over again before he is able to graduate.

Would the student have been better off knowing the scores of the projects throughout the course? Of course he would have, and few would argue otherwise. By knowing his performance after each exercise and project, he is able to learn from his mistakes and improve performance throughout the course. By making the data available instantly, that data becomes actionable.

Although not completely synonymous, we witness a comparable problem in healthcare. Data is gathered from a multitude of sources during a procedure. Abstractors compile that data and send it off to the NCDR, but it is not until much later, approx. 6 months, that those health systems are given their performance scores. By that time, the data is no longer actionable, and not as valuable as it would have been at the time of the procedure. Data is most valuable when it can be compiled and acted upon immediately. With pressures mounting from CMS and other reimbursement organizations to improve quality measures, actionable data is extremely useful in ensuring performance meets standards.

In order to make this data meaningful, the ACC has developed risk models based on the data compiled from the NCDR to help organizations identify patients based on their personal risks. Although the models are undeniably useful, they are still not actionable by many standards. There is no real way to utilize these models in the lab, during the procedure.

ePRISM brings this data into the lab and makes it actionable through various forms including informed consent and displays within the cath lab. In conjunction to this, ePRISM’s new reporting system allows hospitals to review their data promptly and review physician performance shortly after a procedure. The inclusion of ePRISM in the workflow allows healthcare systems the ability to better understand treatment pathways, and how they can be improved on a per patient basis. Learn more about how ePRISM is seamlessly included in the workflow here.