Predictive Healthcare Modeling
Posted by MOSIMTEC LLC
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Healthcare facilities are a maze of interconnected systems. Without optimization, these systems can hinder output, patient care and customer satisfaction.

MOSIMTEC’s healthcare simulation solutions can improve facility patient care flow, simulate any scenario and help determine the optimal schedule. It can be used by (1) hospitals, outpatient surgery centers and clinics (2) clinical and occupational diagnostic laboratories (3) insurance and payment processing companies and (4) medical device manufacturers.

Examples of potential uses include:

  • Policy selection – Determine a mixture of policies that will lead to the greater number of positive patient outcomes
  • Resource scheduling – Schedule resources to meet demand in a cost-effective manner while considering random variation and turnaround time requirements or goals
  • Patient flow modeling – Leverage insights provided by simulation to improve patient flow to reduce waiting times and increase resource productivity
  • CapEx versus OpEx tradeoffs – Through insights gained with comprehensive predictive modeling, evaluate capital investment options that balance with operating expenses to select the lowest cost option when considering the entire project’s lifecycle
  • Business process improvement – Improve business processes to create a positive impact on procedure to payment time, without increasing labor resources.

MOSIMTEC has extensive experience working with healthcare providers on a wide range of topics. For a medical device manufacturer, we conducted throughput analysis and optimized a scheduling algorithm to understand the throughput impacts of a proposed instrument change. For a hospital, we built a simulation model and conducted analysis of the Emergency Department in its current and future states, examining patient throughput, waiting times, staff utilization and exam room utilization. For a healthcare provider, we developed a simulation model to assess and optimize medication delivery within a hospital (“the last 100 feet” problem). The goal was to determine the best combination of storage location, inventory levels, and process rules to increase patient satisfaction while minimizing labor overhead related to replenishment and medication administration.

MOSIMTEC is staffed by data scientists and industrial engineers with decades of experience helping our clients improve performance. We have performed over 300 projects for a diverse client base, including small, medium and Fortune 500 companies. We can help future-proof your healthcare business.

#healthcare #futureproofyourbusiness #healthcare digital twin

Read More: https://mosimtec.com/industries/healthcare-simulation/