- Modernizing the Data Warehouse of a Statewide Healthcare System
Modernizing the Data Warehouse of a Statewide Healthcare System
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5月 23, 2024
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A statewide healthcare system engaged FTI Consulting to assess its current technology platform, identify key gaps and design a future-state architecture.
Our Impact:
- FTI Consulting conducted an independent and accelerated review of the clients’ critical needs for the transformation to a data-driven approach to health services.
- Our experts identified a cloud-based technology target that would provide the client with increased capabilities for advanced analytics, AI, machine learning (“ML”) and the processing of new data types.
- The team documented detailed architecture for the future state and developed estimates, an implementation roadmap and change management requirements for key functions.
- FTI Consulting positioned the client for the acquisition of flexible capabilities that will support its ongoing journey to Healthcare Information and Management Systems Society (“HIMSS”) Analytics Management maturity.
Our Role
- FTI Consulting interviewed more than 40 key stakeholders to gather diverse views on the client’s future-state data needs, in addition to rationalizing key needs and prioritizing capabilities for the future state.
- Our experts identified key use cases for clinical, operational and research data and documented additional data sources and new types of information available from the client’s ongoing adoption of the Epic EMR, including external sources, population health metrics and key quality indicators.
- The team inventoried cloud-based logical data warehouse capabilities in the marketplace and conducted targeting sessions with the client functional and technical teams to isolate key components of the future-state architecture.
- FTI Consulting documented resource capabilities and transformation activities necessary for the advanced analytics center to support the updated capabilities and designed a roadmap and timeline for the client’s modernization of the data warehouse.
出版
5月 23, 2024