By improving patient flow, a hospital can save money on staffing; decreases wait times, boost patient and provider satisfaction and can be ready for the busiest day of the year. Patient flow software helps hospital collect and analyse historical data, improve throughput.

Use data to predict patterns. Flow Control software collects and analyses data, which improves the hospital’s ability to predict staffing needs, patient volume and other trends. There is some predictability. The ability to predict staffing levels on a particular day saves the hospital money by reducing staffing waste and decreases patient wait time by assigning the correct number of providers to the predicted volume. Mondays are called ‘ER Mondays’ all over the country.

Pay attention to rapidly growing specialities. Because clinical groups do not always grow at the same speed, your hospital may have to adjust beds and staffing over time to keep up with the demands of a certain specialty.

So the hospital uses historical data and fed into their simulation modelling Medical billing Software and tests various alternatives. By using simulation software to determine where beds and providers could be expanded, the hospitals came up with a plan to use a portion of the medical/surgical unit and train those nurses in caring for non-chemotherapy oncology patients.

Set internal benchmarks based on ‘painful’ months. In order to create a productivity benchmark, look at the historical productivity in your busiest months and work from there. The flow control software helps to find out how many patient placements each employee did in a particular month. The hospital uses the most painful months as a productivity target for the busy days and creates an internal benchmark for an appropriate staffing level.

Examine the biggest portals of entry to your hospital.  To be able to balance patient placement from different admission sources, hospital looks at data on the speed of patient placement from each source. They look at the data and prediction on the monthly basis to decide how they need to manage themselves.

These strategies can help the hospitals decrease the wait time and improve the throughput by analysing the data.

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