CAUSAL IMPACT + ATTRIBUTABLE ROI
Show what worked.
Know what it was worth.
Causalytics helps healthcare organizations and technology vendors determine whether an intervention caused better outcomes and whether the attributable value exceeded the full cost.
Observe the work. Change the workflow together. Measure outcomes.
ONE QUESTION, THREE PERSPECTIVES
Did the intervention create real value?
The evaluation method is shared. The decision it informs depends on who needs the evidence.
Did our intervention improve outcomes?
Evaluate a care, access, equity, operational, or member intervention against a credible alternative and its full cost.
Is the vendor creating value?
Test whether a vendor deployment changed the outcome, how much value is attributable to it, and whether renewal or expansion is justified.
Can we support a credible impact claim?
Build evidence that customers, procurement teams, and executives can inspect without relying on adoption, testimonials, or modeled savings alone.
THE EVIDENCE LAYER
Activity is observed.
Impact is estimated.
Usage, throughput, and reported time saved can show that something happened. They do not establish what would have happened without the intervention. Causalytics fixes the question and decision rules before interpreting the result.
01 / DEFINE
Measurement Contract
Fix the intervention, population, outcome, comparison, costs, uncertainty, and claim threshold before results are known.
02 / ESTIMATE
Causal analysis
Use the strongest design the evidence can support. Examine assumptions, diagnostics, sensitivity, and variation in effects.
03 / REPORT
Impact Passport
Carry the estimate, attributable value, limitations, lineage, and exact permitted claim. Withhold the claim when the evidence is inadequate.
MEASUREMENT-READY IMPLEMENTATION
Better evidence can begin in the work itself.
When evidence is fragmented or key facts are not captured, Causalytics can help design a bounded, governed implementation that records exposure, context, decisions, costs, and outcomes. The synthetic interface below shows how measurement can be designed into consequential work without replacing systems of record.
CONNECTED EVIDENCE
The case is assembled before the clock is lost.
Elasticsearch resolves the case and retrieves relevant records across operational systems. Source links, timestamps, and retrieval context stay attached.
- Existing systems remain authoritative
- Evidence is retrieved with lineage
- Regulatory gates remain visible
GROUNDED ASSISTANCE
AI works inside the approved framework.
The assistant searches the indexed policy corpus, cites the governing passage, proposes the next action, and leaves disposition to an authorized human.
- Policy version is explicit
- Recommendations carry citations
- Human authority is recorded
CAUSAL SCIENCE
Improvement is estimated, not assumed.
A pre-deployment Measurement Contract defines the outcome, comparison, assumptions, and value calculation before results are known.
- Identification logic is inspectable
- Uncertainty travels with the estimate
- ROI claims can be supported or withheld
THE DIFFERENCE
A vendor can report what its system did. Causal analysis tests what changed because it was there.
ACCOUNTABILITY, BUILT IN
The record becomes a by-product of doing the work.
Resolve the subject
Identity, source records, clock, and relevant evidence are assembled into one governed case.
Apply the right framework
The active policy version, required gates, and permitted human authority appear in context.
Capture the decision
Actor, action, rationale, citation, timestamp, and artifact version enter the ledger as work happens.
Measure the result
The agreed causal design determines what can be claimed about outcomes, value, and equity.
PORTABLE GOVERNANCE
Two passports. One contract.
Every instrument carries an assurance record. Every measured effect carries an evidence record. The design connecting intervention to outcome is agreed before deployment.
CONTROL PASSPORT
Can this artifact operate as intended?
MEASUREMENT CONTRACT
What evidence must exist before a claim?
IMPACT PASSPORT
What does the observed evidence support?
ARCHITECTURE
Keep the systems of record.
Your operational systems remain authoritative. Causalytics becomes the accountable decision and measurement layer across them. Elasticsearch provides fast retrieval across indexed evidence and policy. The instrument preserves source lineage, enforces gates, and writes the operational record.
WHO IT IS FOR
Built for the decision team, not one department.
A consequential workflow crosses operational, compliance, security, and financial responsibilities. The instrument gives each owner a view of the same case and the same evidence.
Keep the case moving
See the active clock, missing evidence, required next gate, and assigned human decision while action is still possible.
Inspect what governed the work
Trace the policy version, NIST SP 800-53 profile, inherited responsibility, control evidence, and artifact identity.
Separate activity from impact
Use a fixed measurement design to distinguish throughput, observed change, causal effect, and attributable ROI.
EVALUATION PARTNERSHIP
One intervention.
One decision.
Start with the program or vendor deployment that matters now. The work is bounded around the causal question, available evidence, full cost, and the decision the result must inform.
Evidence readiness
Map the intervention, population, exposure, outcomes, costs, baseline, and credible comparison options.
Evaluation design
Fix the causal graph, estimand, assumptions, diagnostics, refusal conditions, value model, and claim threshold.
Analysis and decision record
Estimate the effect, challenge the assumptions, calculate attributable value, and issue the Impact Passport.
Commercial model: a bounded evaluation fee. Payment does not depend on a favorable result.
OPEN WORK
Inspect the artifacts, not just the claims.
Measurement Contract
A usable template for fixing the intervention, counterfactual, outcomes, full costs, refusal conditions, and claim rules before results are interpreted.
READ + DOWNLOAD → SPECIFICATION / V0.1Impact Passport
An open specification and usable template for carrying effect estimates, uncertainty, value, limits, and lineage.
READ + DOWNLOAD → SYNTHETIC EXAMPLE / V0.1Control Passport
A generated NIST SP 800-53 example showing the control profile, tailoring, evidence bindings, and unresolved gaps.
COMMON QUESTIONS
What a decision maker should know before the first conversation.
What is attributable ROI?
Attributable ROI uses the estimated causal effect, eligible volume, and an agreed unit value to calculate benefit, then subtracts the full approved cost. It is different from modeled savings based only on usage or reported time saved.
Can Causalytics verify a vendor we already use?
Sometimes. Causalytics does not replace the vendor. We assess baseline, rollout, exposure, comparison options, outcomes, and full costs to determine what the evidence can support.
Can Causalytics evaluate an internal program?
Yes. The same method can evaluate care delivery changes, access and equity programs, member interventions, and operational redesign when the intervention and decision are bounded.
Do we need a randomized trial?
No. Randomization is preferred when feasible and ethical, but credible quasi-experimental designs can use phased rollout, longitudinal data, matching, weighting, interrupted time series, or other justified comparisons.
Does every evaluation produce an ROI number?
No. Attributable ROI is issued only when the causal effect and cost inputs meet the Measurement Contract. Otherwise, the Impact Passport limits or withholds the claim and records why.
What if important evidence is not being captured?
Causalytics can define a prospective evidence and rollout plan. When appropriate, we can also help design a bounded, governed implementation that captures exposure, context, decisions, costs, and outcomes.
When does Causalytics make an ROI claim?
Only when the agreed design has produced sufficient evidence. When identification or diagnostics are inadequate, the Impact Passport limits or withholds the causal and ROI claim.
PUBLIC BENEFIT
Better decisions should leave better evidence.
Causalytics is a public benefit company developing accountable ways to measure whether healthcare interventions and vendor deployments improve outcomes and create attributable value. We design for the people doing the work, the people affected by it, and the people responsible for acting on the evidence.