Debbie, the ED's charge nurse, was constantly looking at data to figure out whether they were going to run out of capacity.
With analyticsMD, that monitoring is done for her. The system knows it’s a week before Thanksgiving, it’s cold outside and Dr. Smith just came on board; he’s slower and orders more labs. Capacity will run out in the next two hours. Debbie's relevant ancillaries get a nudge in the form of a text: Congestion Likely. Prioritize Discharges. This allows them to refocus resources and coordinate a response. Not only does analyticsMD allow Debbie to solve problems immediately, it also helps create a powerful culture of teamwork and empowerment.
Natividad Medical Center is a 172-bed acute care hospital located in Salinas. Safety net hospitals like Natividad make up only 15 of California’s more than 450 hospitals and health care systems yet provide 50% of all hospital care for California’s 6.6 million uninsured. Natividad had recently seen rising patient volumes. Improvements in patient flow and throughput were needed to meet increased demand. Natividad began a strategic initiative in its ED to improve patient flow and productivity with strong engagement from its frontline providers and nurses. With analyticsMD, Natividad saw a 42% decrease in LWBS rate, a 20% reduction in door to doc time and a 30 minute (8%) reduction in a patient’s total length of stay. These improvements will provide an estimated 850 additional visits yearly, and a projected $425,000 in additional revenue.
Mercy Hospital Fort Smith, a 336-bed acute care hospital, engaged analyticsMD to improve emergency department flow. The ED receives around 50,000 visits per year and analyticsMD helped to achieve a 30 percent decrease in "left without being seen" rate. The hospital also saw a 24 minute reduction in length of stay and a 20 percent reduction in door-to-door time. The ED was able to accommodate 3,000 additional visits per year after the workflow update and is projected to report $1.3 million in additional annual revenue and savings through the increased capacity and reduced length of stay. Additionally their patient satisfaction scores increased substantially, allowing them to move from 29th among the Mercy systems thirty-one Emergency Departments to top three in the system. As a result of this success, we have expanded efforts to more broadly support the Mercy network.
El Camino Hospital engaged analyticsMD to help enhance their performance improvement efforts in areas such as patient safety and patient experience. With the help of analyticsMD’s Patient Falls Prevention platform, the clinical teams at El Camino Hospital introduced a new proactive method for fall prevention. El Camino Hospital’s Performance Improvement teams worked with analyticsMD to evaluate data inputs from multiple sources (for example, call button and bed movement data) in real time, and then could apply advanced algorithms to predict exactly which patients were at risk for an imminent fall. Care teams were alerted of at-risk patients in real-time through wireless communication devices such as Vocera, and could then take immediate action prior to the potential injury or fall. The result: since the inception of the entire fall prevention program in December of last year, El Camino Hospital experienced a 39% reduction in falls within a six month period.