WHAT WE DO
Convert Data Into Insight
Data Capability Enablement
Make your data actionable with
- Data strategy
- Data management
- Data governance
- Capability definition
- Solution design
Rapidly deploy cloud-based and cost effective advanced analytics applications for healthcare.
Analytics driven advantage.
Using our Mind Assessment management solution methodology, we build analytics use cases that capture value, seize opportunities and avoid costly project mistakes.
With a clear strategy, we achieve buy-in from the front lines to the executive suite.
Better decisions, better outcomes.
We transform your organization’s value with solutions designed to work across populations and individual levels. We build competitive advantage through deeper insight, personalization and earlier interventions.
Business intelligence, at scale
Our Analytics as a Service cloud platform manages healthcare's digital transformation with:
Rapid analytics deployment and scalability
Advanced IT capabilities - machine learning and predictive analytics
Lower IT cost
Enhanced data privacy and security
New White Paper Available
The Keys to Achieving Healthcare Value
Rebuilding the delivery system with new infrastructure, processes, and data.
Our newest white paper explores how many of healthcare's problems stem from a foundation never designed for modern medicine. By rebuilding our delivery system now; new infrastructure, processes and data capabilities can accommodate required foundational analytics - those based on quality and care, not hype and unfulfilled promise.
This white paper serves to provide a brief history of the costs and programs which led us to our current healthcare environment; it explains what “value-based care” actually entails and the processes, technologies, and analytics required to enable this new model through various stages of adoption and risk.
News + Views
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Healthcare organizations need to invest in insight platforms and advanced analytics to deliver more effective care… https://t.co/hG2RQvH5cr
Artificial intelligence and machine learning are on the brink of becoming major forces in the healthcare industry.… https://t.co/kSTLMFd4Cz
4 big reasons why healthcare needs data science: 1) hospital claims data, 2) clinical data, 3) pharma R&D data, 4)… https://t.co/x7XxAbfXy8
Without robust, accurate, timely, clean, and complete data, healthcare organizations will not be able to move beyon… https://t.co/vxzTKw8BxQ
While adoption of EHRs is increasing at a rapid rate, adoption of analytics technology has been much slower. Provid… https://t.co/kZj4H0LToD