eHospital, Region Zealand
STRATEGY
We assisted Det Nære Sundhedsvæsen in developing a fully model-supported strategy to improve efficiency and scale the eHospital by 600%
CASE
The eHospital is the largest clinical unit for virtual patient treatment in Scandinavia and is facing the challenge of scaling from approximately 900 to 5,500 admitted patients.
To achieve this substantial growth, a model-supported scaling strategy was needed to manage the complexity of clinical treatment and ensure both efficiency and maximum benefit realisation.
RESULTS
Together with Det Nære Sundhedsvæsen, we created a scaling strategy to improve the e-hospital's efficiency and growth. This involved an extensive analysis of existing operations alongside assessing resource and capacity requirements for different volumes, treatment pathways, and patient intake across the region.
Our efficiency improvements resulted in a 21% increase in production within existing capacity. By implementing a range of specific, volume-adjusted operational enhancements that ensure the continuous realisation of economies of scale, we experienced a 148% increase at full scale.
The business case highlights the potential of shifting from conventional to virtual treatment by comparing the economic return on investment (ROI) from investing in the eHospital with that of the region’s physical hospitals.
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The overall outcome of the analysis, strategy, and efficiency improvements shows that the eHospital, with only 5,500 admissions, delivers a 140% better ROI than the region’s other hospitals. This is relevant both regionally and considering Sundhedsstrukturkommisionens’ recommendations. ​​
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DELIVERABLES
The strategy was based on a scalable planning and management model that simulates the impact on all major operational parameters, including patient composition, treatment pathways, procurement costs, and geographical factors.
In addition to a comprehensive simulation module, the model offers a complete framework for managing and addressing operational deviations, including the number or length of visits required for specific diagnoses, time spent on ward rounds, and the referral process for admitted patients.
As a management tool, the model provides detailed production data and several key metrics related to overall production, such as “cost per bed day” and “cost per discharged patient.” These metrics are essential for monitoring over time to achieve benefit realisation.
We facilitated the eHospital’s strategic development through structured analysis, systematic modelling, and our specialised expertise in healthcare, process optimisation, and system development.
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