Today, Dr. Achuff can dig into her patient data with Tableau to understand best practices for a wide range of patients—leading to more personalized, proactive care for her patients.
“I can start with the year of admission, go to the day of surgery, and then drill down to the detail of the very hour or minute a medication is given. Looking at a baby's constructed individual profile, it is obvious what patterns are evident. By looking at the historical patterns, we can affect change on the current patients and improve on what we’ve done in the past.”
Dr. Achuff took it a step further by creating a dashboard that included all patients and sedation doses administered. With this, she discovered that on a daily basis, a practice pattern emerged of a very high frequency of doses given at specific hours of the day: 4 a.m., 7 a.m. and 7 p.m.
“When this was shared with the entire care team, we wanted to understand the peaks of med use, or rescue doses, during the day. A rescue (or breakthrough) dose is a dose of medication given to treat spontaneous or incident pain. Everyone, including doctors, nurses and ancillary staff were a little taken aback because we thought maybe there was probably a pattern happening, but now we actually know and can see it right in front of us. And so now we can intervene and make systematic changes.”
With this new access to data, the nursing team introduced an objective sedation scale, transforming the CVICU’s approach to rescue doses. This intervention helps the care team refocus their attention to the bedside practice, and rely more on objective factors to drive medication management.
“Now that we've introduced this scale, the original pattern with high peaks of rescue doses given during specific hours of the day has changed.”
Instead of waiting six to eight months for a static report, hospital staff can parse through current data and dive deeper into patient-level data, helping refine best practices and spark conversations between physicians and the team. The result? Improved hospital performance, more effective delivery of care and superior patient outcomes.
“People want to understand and analyze data every single day because there is information in there that's going to affect our decisions at the bedside; it’s going to affect the babies and children we take care of every day. That is always the primary goal; it’s all about the kids.”