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Patient Flow Analysis Hospital overcrowding is a serious condition that threatens patient quality and a health system's bottom line. Overcrowding is not a new problem for hospitals, but in light of the Affordable Care Act, which expanded the insured base, health care leaders face a greater challenge than ever. ProModel's predictive analytics for healthcare enables healthcare organizations to improve patient flow in high revenue patient care areas such as the emergency department and OR. Improved operational efficiencies include:. Optimize patient throughput, LOS and resource utilization processes. Smooth patient demand to avoid census peaks.
Synchronize work flow to optimize resources and reduce cost. Enhance facility expansion/renovation – demand capacity planning for cost containment 'A significant value for healthcare is that simulation allows one to evaluate a problem in terms of whole-systems thinking, as it accounts for how actions in one part of a patient's pathway might impact other parts of that pathway and other patients' care. What our customers say: 'Administration, the Nurse Manager and Front End Supervisor all agreed that the model was a very fair representation of how the center actually operated'. Patient Flow Hospital Patient Flow Optimization Situation The leadership team at a hospital in the Mid-Atlantic U.S.
Found themselves in a peak census situation several times a year where they did not have enough beds to accommodate the demand. With a daily average census of over 600 throughout the facilities, this issue would send the clinic into crisis mode which included crisis management committee meetings and micro-managing the transfers and discharges until the situation resolved itself. They did not have a way to effectively proactively study patient flow behavior during these peak times in order to evaluate potential solutions to reduce or eliminate the peak census states. Because of the many variables such as volume of arrivals, timings of arrivals, service line specialty of admitting physician, acuity level of patient at time of admission, bed capacity among the nursing units, transfer center's distribution of patients, patients' length of stay on each unit and patients' movement between nursing units, the leadership team faced difficulty analyzing their patient flow. Objectives.
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Quickly and accurately evaluate the impact of various operational proposals to improve patient flow. Experiment with the system behavior without experimenting with the actual system Results Using ProModel's patient flow analysis solution they developed the capability to get answers to patient flow what if questions in minutes versus days, weeks or months. They now have a flexible environment that is adaptable to answer future patient flow questions. They are expecting to see the following improvements from their first phase:.
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Length of Stay (LOS) reductions from their nursing unit discharge initiatives. Avoided the extra cost of just building extra PCU units.