Health Strategy and Analytics

Healthcare organization strategies, like facilities, must be flexible and evidence-based for long-term success. We use a data-driven foundation to understand the market, competitive environment and test scenarios for your clinical enterprise. Geospatial, analysis-based tools translate information into intuitive visual formats that empower decision making to better align planning and strategy with your goals.

Market Demand Modeling

Strategy and Analytics

Network and Target Location Analysis

Capacity Modeling and Utilization Analysis

Service Line Rationalization

Market Demand Modeling

Our market demand modeling process is unique and tailored to each client based on their detailed patient data. It integrates proprietary market research with information from multiple sources, including external vendors and client data.

10-year forecast and cumulative growth rate based on patient data.

Demographic Analysis

Examination of service line growth scenarios based on industry data.

Service Line Growth Scenarios

GIS-based tools combine multiple layers of data, including patient convenience, growth trajectory, traffic patterns and financial metrics to show the most optimal location options. Examining market share and identifying gaps — or duplication — in coverage, we develop service distribution scenarios to project the ideal location for new and existing facilities to achieve alignment between the needs of patients, providers and financial targets.

Network and Target Location Analysis

Based on our database of various benchmarks, we stress test existing facilities against projected volumes, identify operational improvement potential, and perform detailed analyses of shortages, wait times and physician recruitment targets. Capacity models produce the number of key planning units so that facilities’ demands can be translated into space needs.

Capacity Modeling and Utilization Analysis

Capacity Modeling

Variability in Utilization of Resources

Forecasted Space Demands

Our strategy leaders work with health systems to optimize network performance by aligning distribution of services with population needs and the potential to maximize utilization of resources.

Service Line Rationalization

Patient Segmentation Analysis

Network Options/Implementation

Distributed Network

Distributed Nodes Model

Hierarchical Hub and Spoke Model

Implementation

Redirect low-acuity, high-volume services to ambulatory care sites.

Implementation

Specialist, high-volume services to nodal location.

Implementation

Complex, low-volume care to hub locations, balance access with telemedicine support.

Big data informs patient segmentation analysis based on patient acuity, originating location, volume, margin and reimbursement model to distinguish patient needs by segment.

Network Options/ Implementation

Service Line Rationalization

Capacity Modeling and Utilization Analysis

Network and Target Location Analysis

Market Demand Modeling

Healthcare organization strategies, like facilities, must be flexible and evidence-based for long-term success. We use a data driven foundation to understand the market, competitive environment, and to test scenarios for your clinical enterprise. Geospatial-analysis-based tools help us translate information into intuitive visual formats to help you make decisions that align with your goals.