- Is your organization prepared to take on risk?
- Do you have the tools to manage At-Risk patients across all the dimensions of the continuum of care to maximize the revenues?
- Do you know who your highest risk patients are?
- Are you concerned about the Medical-Loss ratios?

We help health care providers and payers maximize service line margins. We accomplish this by identifying high risk patient populations along with the risk factors by using proprietary predictive analytics,
then optimizing on interdependent and conflicting triple-aim objectives (reduce cost, improve outcomes
and patient experience) across the continuum-of-care (acute and ambulatory).
Our Solutions
Population Predictive Analytics for ACOs’
Stratify your population into risk pools based on real time clinical data from EMRs
(and not retrospective claims data). Identify high risk patients and design
individualized care programs to prevent hospitalizations. Design an optimal ACO
network with the right mix of PCPs and specialists.
Pay-for-Performance for PCMOs
Track the population State-of-Health (SOH) scores by chronic condition to
determine the effectiveness of a care management intervention. Ability to understand
the impact of primary care on the per-member-per-month (PMPM) patient costs
across the continuum of care. Develop strategic plans to forecast demand for
procedures and specialist resources. Optimize provider network to lower costs and
improve quality to maximize pay-for-performance incentives.
Clinical Integration for Hospital Systems
Minimize cost-quality-risk variances along multiple dimensions across the continuum of
care. Estimate the impact of standardizing on best practices with real time “what-if”
scenario planning. Understand the link between quality, cost and outcome (Triple Aim)
across each dimension in order to align clinical teams, and meet performance goals for
the new bundled payment models.
Lowering Medical Loss Ratios for Payers
Powerful interactive multi-dimensional claims analysis with “what-if” modeling
capabilities to identify cost and quality improvement opportunities. Lower your business
analyst staff with “out-of-box” analytics to maintain margins under the new medical-loss
requirements. Identify provider network opportunities to lower costs and improve quality
to design optimal pay-for-performance incentives.




