Capacity and Utilization Management

Test resilience plans to ensure that patients will get the best possible care. From understanding increased demand that occurs during winter time to determining how new interventions will affect your healthcare system, simulation allows you to test these changes risk free.

How Can Simulation Support Capacity and Utilization Management?

With simulation you can to take into account the variation in demand on a daily and hourly basis on different healthcare provider organizations to make evidence based decisions.

Setting optimal utilization targets depends on a number of complex factors such as your market, your patients, and your goals.

Simulation can be used to pinpoint the right target for your facility. With a Simple simulation you can run many scenarios in order to understand the trade-off between total cost and the number of staff.

With these results, you can identify how many staff you need, understand what utilization targets should be and anticipate your annualized staffing costs.

You need to be sure that you have the staff and resources available for any initiatives or service redesign you are planning and that these costs can be met. Simulation allows you to test out ideas risk free and ensure you have a solution that's right for your organization, staff and most importantly patients.

With simulation you can:

  • Determine the optimal utilization level of your staff
  • Understand your capacity constraints
  • Understand the trade-off between staff and costs
  • Engage stakeholders with a visual representation of the process
  • Test different improvement ideas without impacting patient care

Learn More About Simulation for Capacity and Utilization Management

Staff and workforce planning

Planning the healthcare workforce required to meet the health needs of the population, while providing service levels that maximize the outcome and minimize the financial costs, is a complex task.

Simulation can be used to improve staff utilization levels and increase service levels for patients


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Improving Emergency Care Systems with Simulation

Discover competing and complementary theories on how to improve the whole emergency care system due to political and public pressure.




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Bed Capacity Management

Variability in arrivals and lengths of stay and ensuring that patients are able to access the right inpatient unit for their condition add to the complexity of managing beds, all factors that simulation can help manage.


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Organ Supply

Johns Hopkins Medical Institute - The number of chronic disease cases is growing at phenomenal rates as our general population ages. End-stage diseases of all the major organs: heart, lung, liver, kidney and pancreas ultimately rely on transplantation as the only means remaining to return a patient to reasonable health.

SIMUL8 Partner, Novasim, used SIMUL8 to help Johns Hopkins understand how all of the complex elements involved in transplant care fit together, enabling them to better use their limited resources to the advantage of their patients.


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Outpatient Rehab Staffing - How many do you Need?

Staff are the largest ongoing operational expense in healthcare and of course, we want to get the most from this investment in human capital. Often, this takes the form of a high utilization tarHowever 100% utilization is not a realistic - nor desirable - outcome. So how do we set an optimal utilization target?

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Geisinger Release 8% of Time Back to Patient Care

Geisinger Health System (GHS) are a large regional medical center, that have been on the forefront of innovative solutions to clinical and operational issues.

Prior research indicated that nurses on inpatient units spend upward of 15% of their time on logistics/supply chain tasks. A project was put in place to determine the actual nursing time spent doing logistics/supply chain tasks and to develop a new model for logistics inside the hospital.




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