Phillip A Romanski1, Ann M Thomas2, Jay Patel2, Dan Zhang2, Catherine Racowsky2. 1. Department of Obstetrics, Gynecology and Reproductive Biology, Brigham & Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA. par9114@med.cornell.edu. 2. Department of Obstetrics, Gynecology and Reproductive Biology, Brigham & Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Abstract
PURPOSE: To test whether an electronic whiteboard in the IVF laboratory increases the likelihood that critical evaluation procedures are performed within optimum pre-set time ranges. METHODS: A retrospective cohort study of oocyte retrievals in our IVF clinic between 06/01/2012 and 05/31/2018 was included. The electronic whiteboard was introduced on 04/06/2014. Prior to implementation, embryologists strived to adhere to the set evaluation times without a formal guide. The primary outcomes were the proportion of embryologist evaluations performed in optimum time ranges and the proportion of usable embryos per patient. RESULTS: A total of 4645 retrievals met inclusion criteria. Implementation of the whiteboard was associated with (1) an increase in the proportion of fertilization checks performed within the optimum time range for ICSI cycles (+ 5.1%, RR = 1.06, CI = 1.02-1.10); (2) an increase in the proportion of day 3 evaluations performed within the optimum time range, whether assisted hatching was performed (+ 23.6%, RR = 1.48, CI = 1.36-1.60) or not (+ 13.8%, RR = 1.23, CI = 1.12-1.35); and (3) an increase in the proportion of day 5 evaluations within the optimum time range (+ 15.5%, RR = 1.23, CI = 1.12-1.35). Additionally, the mean number of usable embryos per patient increased from 2.8 to 4.5 after the whiteboard was implemented (RR = 1.25, CI = 1.19-1.31). CONCLUSION: The use of an electronic whiteboard that posts optimum times for performing critical procedures significantly increases the proportion of evaluations that occur within these ranges. Such improved standardization led to positive downstream effects on the number of usable embryos per patient. We suggest that electronic whiteboard implementation driven by real-time data collection should be considered in all IVF laboratories.
PURPOSE: To test whether an electronic whiteboard in the IVF laboratory increases the likelihood that critical evaluation procedures are performed within optimum pre-set time ranges. METHODS: A retrospective cohort study of oocyte retrievals in our IVF clinic between 06/01/2012 and 05/31/2018 was included. The electronic whiteboard was introduced on 04/06/2014. Prior to implementation, embryologists strived to adhere to the set evaluation times without a formal guide. The primary outcomes were the proportion of embryologist evaluations performed in optimum time ranges and the proportion of usable embryos per patient. RESULTS: A total of 4645 retrievals met inclusion criteria. Implementation of the whiteboard was associated with (1) an increase in the proportion of fertilization checks performed within the optimum time range for ICSI cycles (+ 5.1%, RR = 1.06, CI = 1.02-1.10); (2) an increase in the proportion of day 3 evaluations performed within the optimum time range, whether assisted hatching was performed (+ 23.6%, RR = 1.48, CI = 1.36-1.60) or not (+ 13.8%, RR = 1.23, CI = 1.12-1.35); and (3) an increase in the proportion of day 5 evaluations within the optimum time range (+ 15.5%, RR = 1.23, CI = 1.12-1.35). Additionally, the mean number of usable embryos per patient increased from 2.8 to 4.5 after the whiteboard was implemented (RR = 1.25, CI = 1.19-1.31). CONCLUSION: The use of an electronic whiteboard that posts optimum times for performing critical procedures significantly increases the proportion of evaluations that occur within these ranges. Such improved standardization led to positive downstream effects on the number of usable embryos per patient. We suggest that electronic whiteboard implementation driven by real-time data collection should be considered in all IVF laboratories.
Authors: Rebecca Randell; Joanne Greenhalgh; Jeremy Wyatt; Peter Gardner; Alan Pearman; Stephanie Honey; Dawn Dowding Journal: Stud Health Technol Inform Date: 2015