Artificially Intelligent Platforms Significantly Help Reduce LWBS & Length of Stay
Innovative and intelligent optimization platforms incorporate advanced analytics and interactive dashboards within their optimization engines to garner unlimited insights based on small reports or large lakes of data. This can help healthcare leaders navigate a better path in patient flow such as consolidating patient time and acuity data from registration, for continual intelligence reporting of interdepartmental system performance. An optimization platform like Bernoulli OptimizerTM adds in the capacity to model simple to complex hospitals including multi-track, acuity, mid-levels, scribes and alerts of possible bottlenecks hours before they happen, enabling the Emergency Department to prepare well in advance with workflow improvements.
Leadership can model and simulate the department environment in an intelligent way considering variables such as weather or events and enable virtual “What-if” scenarios with changes to flow for optimal staffing recommendations based on resource restrictions. Insights from sources like this can uncover resolutions to hidden issues. For example, by moving the start time of the midnight shift by 2 hours, you may not see that patient bottleneck mid-morning and may not actually need that agency contractor you were about to hire. Heatmaps and other analytic reports located in the same system help with the determination of who is coming into the ED and when and can even break it down by ESI level, gender etc. Optimization Engines recommend the best options for refining and streamlining processes to reduce key metrics such as Length Of Stay for admitted or discharged patients, and how to prevent patients from walking out the door before treatment is complete. For Healthcare leadership and providers this translates to better patient outcomes, streamlined processes and greater satisfaction overall.