OUTCOMES ANALYZER℠
Every vendor says their program works.
How do you know they're right?
Outcomes Analyzer℠ delivers independent, vendor-agnostic outcomes measurement across your entire program portfolio, showing what works, for whom, under what conditions, and why programs succeed or fall short.
Independent. Defensible. Decisive.
THE PROBLEM
Why Vendor-Reported ROI Falls Short
Organizations invest heavily in care management, wellness, and digital health programs, but most of the evidence for what those programs deliver comes from the vendors themselves.
Vendors Grade Their Own Work
Each vendor measures its own results with its own methods and definitions, so programs can't be compared side by side.
Short Windows, Missing Costs
Evaluations often cover only a few months, ignore baseline risk differences, or leave out costs that change the answer.
Activity Reported as Outcomes
Enrollment, outreach, and engagement counts are presented as impact, while clinical and financial results go unmeasured.
Too often, programs are renewed on promises rather than proof.
WHAT OUTCOMES ANALYZER DOES
Independent Evidence, Across Every Program
Independent and
Vendor-Agnostic
One consistent methodology across your entire program portfolio, regardless of which vendor runs each program.
The Gold Standard for Measuring Impact
Propensity score matching compares participants with similar non-participants, so results reflect the program, not differences in who enrolled.
Beyond
ROI
Clinical outcomes, care gap closure, equity gaps, and the drivers behind success or failure: for whom, and under what conditions.
Enterprise and
Account-Level Reporting
Plan-wide, employer-group, and client-specific results from a single platform, recalculated each refresh cycle.
1.92:1
ROI at 12 months
p < .01
Statistically significant
1,864
Matched program graduates
2-3 months
From data load to results
Independently validated behavioral health program evaluation.
HOW IT WORKS
A Proven, Statistically Valid Methodology
Outcomes Analyzer formalizes evaluation within governed configurations, so every result is traceable, reproducible, and aligned to a defined methodology. As new claims mature, results recalculate within the same configuration, preserving comparability across reporting periods.
Savings are measured as the difference in post-program costs between participants and their matched comparison group.
INSIDE THE PRODUCT
Transparent Configuration. Defensible Results.
Study and comparison groups are defined, preserved, and recalculated consistently across reporting cycles. Matching variables, baseline balance, and financial calculations stay visible, so every result is audit-ready.
See the Full Picture of Results
Program results show ROI, savings, and cost trends for the matched groups, plus the clinical quality measures behind each number. Break results out by segment to see what works, for whom.
Build a Comparison Group You Can Defend
Cohort matching profiles the study group against a matched comparison group, side by side. Select or deselect variables to test match quality live, and approve the final groups before results are calculated.
AI ADVISOR℠ · BUILT INTO OUTCOMES ANALYZER
Ask About Any Program. Get An Answer in Seconds.
AI Advisor helps every user interpret results and decide what to do next, without waiting on an analyst.
Rank programs by ROI, savings, and ER reduction
Get a plain-language read on cohort balance and match quality
Summarize any page and highlight key takeaways
Draft executive summaries and recommended next steps
The AI enhances interpretation. It never changes the statistical methodology.
Every configuration change is timestamped, attributed, and version-locked, and your team approves results before they're final.
IN PRACTICE
Evaluation Outcomes in Practice
Configuration-driven evaluation across diverse healthcare stakeholders.
CASE STUDY 1 · REGIONAL HEALTH PLAN
The Challenge
The plan needed to demonstrate measurable ROI across healthcare initiatives for its employer groups. Evaluations were episodic, built by hand, and hard to reproduce, so results were difficult to defend under finance or underwriting review.
What We Did
Established a standardized matched-cohort framework using integrated medical, pharmacy, eligibility, and participation data. Evaluations recalculate as new claims mature, keeping cohorts consistent and aligned with employer reporting cycles.
The Result
Reproducible ROI measurement across employer groups
Less analyst time rebuilding one-off studies
Documentation ready for finance-level review
Stronger employer conversations, better retention, and a differentiated position in competitive bids.
CASE STUDY 2 · MATERNITY SUPPORT PROGRAM
The Challenge
The vendor reported a 1.8 : 1 ROI after two months, but the window was short, baseline risk wasn't adjusted, and neonatal costs were excluded. Consultants, actuaries, and CFOs questioned the result.
What We Did
The vendor reported a 1.8 : 1 ROI after two months, but the window was short, baseline risk wasn't adjusted, and neonatal costs were excluded. Consultants, actuaries, and CFOs questioned the result.
The Result
Short-term savings confirmed, but they flattened over time
Low-risk deliveries sustained savings; higher-risk C-sections showed limited savings
A single headline ROI became credible, segmented evidence, strengthening renewals and buyer trust.
DEPLOYMENT
Lightweight to Start. Built to Last.
Outcomes Analyzer works with the standard data you already have (medical and pharmacy claims, enrollment, and program data) with no changes to existing systems or programs.
Embedded Deployment (Preferred)
Deployed within your existing data environment, using your data warehouse, security protocols, and access controls. Data movement is minimized and aligned with your compliance standards.
Managed Deployment
Where embedded deployment isn't feasible, a secure managed model delivers the same workflow and methodology, with clearly defined data governance.
Results in 2-3 Months
Once data is loaded, a full program evaluation is typically complete within two to three months.
Refresh Cadence
Evaluations are typically recalculated quarterly. Saved configurations keep every period consistent and enable longitudinal monitoring.
SEE IT IN ACTION
See the Evaluation Framework in Practice
Explore how configuration-driven evaluation produces durable , audit-ready outputs.
WHO IT’S FOR
Designed for Enterprise Healthcare Accountability
Health Plans & Payors
Standardize evaluation across employer groups and point solutions.
Configure, validate, and refresh evaluations centrally, then deliver consistent, defensible results across hundreds of employer accounts.
Employers
Make program evaluation an ongoing capability, not a one-time study.
Define methodology once and monitor performance each refresh cycle, supporting renewal decisions, vendor accountability, and executive reporting.
Point Solution Providers
Prove performance with a consistent, statistically valid framework.
Monitor impact across client populations over time and produce renewal-ready reporting grounded in matched-cohort methodology.
Start the Conversation
Find out which of your programs are actually delivering value.
In a first conversation, we'll cover:
Your current programs and vendor reporting · Where evaluation is getting stuck · What your own data can show