Inside the digital twin strategy reshaping capacity decisions at Froedtert ThedaCare, Children's Mercy and Providence Swedish
Health systems face mounting pressure to optimize capacity, improve patient flow and time capital investments correctly. Traditional planning tools rely on averages that flatten the real variability of patient acuity, arrivals and clinical decision-making, leaving leaders with incomplete insight into how operational changes will actually play out.
Purpose-built healthcare digital twins give executives a dynamic way to test operational, staffing and facility scenarios before committing resources. Froedtert ThedaCare used one to align clinical, operational and financial teams around acute care strategy and later, tower design decisions. Children's Mercy Kansas City applied digital twin modeling to prepare for pediatric seasonal surges. Providence Swedish leveraged it to determine optimal bed mix and unit configuration during a $1.3 billion campus expansion.
This new report explores how these systems are using digital twin technology to reduce decision risk and align stakeholders across clinical, operational and financial functions.
Inside the report:
Purpose-built healthcare digital twins give executives a dynamic way to test operational, staffing and facility scenarios before committing resources. Froedtert ThedaCare used one to align clinical, operational and financial teams around acute care strategy and later, tower design decisions. Children's Mercy Kansas City applied digital twin modeling to prepare for pediatric seasonal surges. Providence Swedish leveraged it to determine optimal bed mix and unit configuration during a $1.3 billion campus expansion.
This new report explores how these systems are using digital twin technology to reduce decision risk and align stakeholders across clinical, operational and financial functions.
Inside the report:
- How digital twin scenarios are informing capital planning and facility design
- A six-phase approach to launching a digital twin program
- How leaders are using simulation to optimize staffing, patient flow and bed utilization
- Why purpose-built models outperform generic simulation in healthcare
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