Clinical and claims data,finally in one place
Your EHR holds the clinical truth, your billing system holds the financial one, and neither agrees on the patient. Add HL7 feeds, scanned records and a HIPAA obligation, and reporting becomes an act of faith.
- Revenue cycleCharge capture through to remittance modelled end to end, with leakage visible.
- Claims & denials837 submission and 835 remittance joined so denial root cause is queryable.
- Patient identityMaster patient index resolving duplicates across every contributing system.
- Clinical warehousingEncounters, diagnoses and procedures conformed to a documented grain.
- Quality measuresHEDIS and internal measures computed from primary data with provenance.
- Population healthCohort identification and risk stratification on governed clinical data.
One objective in.Your whole estate, moving.
The governed layer sits at the centre of your operations. It reads every signal across Clinical records, Patient identity, Claim files and the rest of your estate, and closes every loop back to your business and regulatory goals.
Healthcare Governed Data Layer
IntelliBooks · Platform agnostic · Your cloud · On-prem capable
The right question changes the answer.
Most healthcare teams have modernised in pockets. We start with why those pockets never joined up, and what it takes to run the whole estate on one governed layer.
Patient records are created at registration, at billing, in the lab and in imaging. How many versions of one patient does your organisation hold?
A master patient index resolves duplicates across every contributing system and surfaces genuine ambiguity for human review. Nothing merges silently, because a wrong merge is a clinical safety event.
Denials are usually analysed on a monthly extract. By the time the cause is clear, is the claim still appealable?
With submission and remittance data in one governed model, denial reasons join to the original claim, the coding and the payer contract. Root cause becomes a query rather than an investigation.
Access to patient data is granted across dozens of roles and changes constantly. Could you produce a complete access history for one record if asked?
Every access is logged against the identity that requested it, with the query recorded. Masking is enforced at query time, so a change in permissions takes effect on the next query.
Clinical interface feeds change without notice, often built by people who have since moved on. How quickly would you know if one changed shape today?
Schema drift detection runs on every inbound feed and raises an incident with the diff attached the same day, rather than surfacing weeks later as an unexplained reporting anomaly.
This is how the work actually runs.
Your EHR stays exactly where it is.
Your electronic health record, your billing platform, your lab and imaging systems, your scheduling system. Connect what you have. The clinical system of record does not move.
Scope from the number that is hurting.
Not a transformation programme. A number. "Cut the denial rate by two points." "Close the revenue cycle gap inside one quarter." "Resolve duplicate patient records before the next audit." We work back from that to the estate as it is.
The right agents activate, inside limits you set.
Patient matching, claim validation, coding review, quality measure calculation, denial triage, prior authorisation assembly. Autonomy per process: assistive for anything clinical, delegated for denial triage, autonomous for claim validation.
Claims get paid. Measures hold up. Auditors get answers.
Every quality measure and revenue figure traces to the encounter behind it, and every access to patient data is logged with the identity that requested it.
We map to how you already run.
Tell us which of these hurts most and we start there — not with a platform rollout.
Revenue cycle
Charge capture through to remittance modelled end to end, with leakage visible.
Claims & denials
837 submission and 835 remittance joined so denial root cause is queryable.
Patient identity
Master patient index resolving duplicates across every contributing system.
Clinical warehousing
Encounters, diagnoses and procedures conformed to a documented grain.
Quality measures
HEDIS and internal measures computed from primary data with provenance.
Population health
Cohort identification and risk stratification on governed clinical data.
HL7 / FHIR integration
Interface feeds monitored for schema drift with diffs raised as incidents.
Payer contracts
Contracted versus actual reimbursement compared per service line.
Prior authorisation
Requirement checks and documentation assembly with clinician sign-off.
Referral & network
Leakage and network utilisation tracked across the care continuum.
Capacity & scheduling
Utilisation, no-shows and throughput surfaced for operational decisions.
PHI governance
Classification, masking and access audit enforced at query time.
Your data. Your platform. Your call.
It runs in your environment
Deployed inside your own cloud account or on-premises. PHI does not leave your perimeter, and no patient data trains anyone's model.
Minimum necessary, enforced
Access is evaluated at query time against your existing directory groups, so a clinician, a coder and an analyst see different columns of the same table.
You keep what we build
Models, pipelines, lineage and agent definitions are yours. No proprietary runtime holds your clinical data model hostage.
Audit-ready by default
Every PHI access and every agent action is logged with its query and identity, because reconstructing that after an audit request is not possible.
If you are thinking it, it is answered here.
Set the objective. We will scope it honestly.
Bring us the estate as it actually is, deadlines included. Two to four weeks later you have a costed roadmap you own — whether or not you continue with us.