Novel data mart dashboard may help improve outcomes, stakeholder feedback after TJA
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Key takeaways:
- An enhanced recovery after surgery program was associated with decreased opioid use and pain postoperatively.
- The dashboard may also provide better feedback to stakeholders.
PHILADELPHIA — Outcomes from a total joint replacement enhanced recovery after surgery program indicated that a novel data mart dashboard may improve outcomes for an institution and its ability to provide feedback to stakeholders.
“This strategy reduces the need for manual extraction, but it does require significant buy-in because it does use a lot of resources to build these systems,” Elliott Bennett-Guerrero, MD, vice chair for clinical research and medical director of perioperative quality and patient safety at Stony Brook Medicine, said in his presentation at the Anesthesiology Annual Meeting.
Utilizing a novel data mart dashboard, Bennett-Guerrero and colleagues performed an electronic medical record data analysis of patients who underwent total joint replacement and compared pre- and post-enhanced recovery after surgery (ERAS) program outcomes.
Outcomes measured included use of IV acetaminophen, NSAIDs, multimodal agents and oral morphine; hours to first flatus or bowel movement; pain scores; acute kidney injury; urinary catheter use and insertion; and length of stay.
Bennett-Guerrero said patients overall had an increased use of multimodal agents and decreased opioid consumption, time to first flatus or bowel movement, urinary catheter use and insertion, length of stay and pain scores post-ERAS vs. pre-ERAS.
However, the ERAS program was associated with a potential increase in acute kidney injury based on levels of delta creatinine, according to Bennett-Guerrero.
“In summary, the approach that we have taken has allowed us to collect discrete fields from the EMR,” Bennett-Guerrero said. “One of the limitations is we are limited to what is in the EMR. If there is something we are interested in that is not in the EMR, we have to then lobby [information technology] IT to build that into the EMR and also perhaps make it a mandatory field in some cases if we want a lot of data to capture.”
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Singh S, et al. Paper A1223. Presented at: Anesthesiology Annual Meeting; Oct. 18-22, 2024; Philadelphia.
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