The StartBox No Go function serves as a means to evaluate near misses, generate data and predictive analytics. Near misses can be categorized into risk zones based on how close they are to the start of the procedure. Data analytics allow leadership to easily identify trends and make appropriate operational changes to positively shift a risk profile.
A published peer-reviewed study (Gloystein. Front Surg. 2020) has demonstrated success of the StartBox System. In addition to preventing patient harm, the system tracked a number of near misses, revealing potential issues prior to bad outcomes occurring. Furthermore, longitudinal use of the system has demonstrated its ability to reduce No Gos (near misses) to zero as adoption progressed.
Kim Kramer will lead StartBox in capitalizing on its goals of mitigating risk, reducing medical liability costs and increasing healthcare operational efficiencies.
Strategic alliance launched to prevent wrong site surgery and reduce costs at ASCs
Innovative Technology System to Prevent Wrong Site Surgery and Capture Near Misses: A Multi-Center Review of 487 Cases