See past the individual claim
Bring providers, members, facilities, timing and related activity into the same view so investigators can see patterns a single record would miss.
For medical schemes
Evaluating Sequrin in a medical-scheme integrity team
Sequrin is designed to complement the claims-integrity work already under way in a medical scheme. A useful evaluation tests whether connected context improves a defined review task under the scheme's own operating and governance conditions.
Where Sequrin fits
An investigation layer alongside existing claims systems
Sequrin is not a replacement for core administration, payment or clinical systems. It is an investigation layer for authorised integrity teams that need to work across claims, relationships and evidence without losing the thread of a case.
Roles and decision boundaries remain subject to the scheme's existing controls; see our governance principles.
Point time at what matters
Prioritised signals can help limited investigative capacity move toward activity that actually deserves a closer look.
Keep the investigation together
Signals, relationships, evidence and case history can stay in one operating view instead of being pieced together across disconnected tools.
Start small, on purpose
Design an evaluation that can produce a credible answer.
The evaluation should fit inside a defined operational boundary and be small enough to compare with current practice. Sequrin's product workflow is documented on the Approach page; the work here is to establish the conditions for testing it fairly.
A bounded scope
Choose one claims-integrity question and document the dataset, time period, participants and access conditions needed to examine it.
Investigator review
Have the people who do the work assess which signals were relevant, which relationships added context and where the product created friction.
Comparable measures
Agree a baseline before the evaluation, then compare relevance, noise, time to context and verified operational outcomes.
What we'd need from you
Enough context to give the product a fair test.
- A clear claims-integrity question or review objective
- Relevant data with stable identifiers for the entities in scope
- Investigators or subject-matter experts who can judge whether the output is genuinely useful
- Someone who owns privacy, access and governance boundaries
- Agreement on the evaluation measures before results are interpreted
A practical next step
Plan an initial evaluation discussion.
Bring a concrete review objective and a rough picture of the available data. We can use the conversation to identify what a fair, bounded test would require.