Data & Integrations
Claritus.One doesn’t want to be your system of record.
You are not going to replace an EMR because an intelligence vendor would find it convenient. Every platform that has asked a clinic network to do that has lost the deal, and rightly.
Claritus.One sits above your systems. It reads what it needs, resolves it into one model of the organization, and writes decisions back where they belong.
The honest version
We list system categories here, not partner logos. Claritus.One integrates by category and by interface; which specific platforms are connected for a given organization is a scoping conversation, not a marketing claim.
The architecture
Signals rise. Nothing is asked to move house.
Select any system category to see what Claritus.One actually reads from it. The list is deliberately short — operational questions need less data than people expect.
Intelligence
Briefs, anomalies, forecasts, explanations
Operations
Workflows across scheduling, flow, revenue cycle
AI Workforce
Agents executing inside their permissions
Operational context layer
One model of locations, providers, shifts, visits, hours, and money
Every system names things differently. This is where a provider, a site, a shift and a visit become the same entity regardless of which platform reported them.
Select a system category to see what Claritus reads from it
Systems of record
- EMR
- Scheduling
- HRIS
- Payroll & Time
- Revenue Cycle
- CRM & Engagement
- Contact Center
- BI & Warehouse
- Spreadsheets
Operational context layer
A provider, a site, a shift and a visit become the same entity no matter which platform reported them.
What Claritus does with it
Intelligence
Briefs, anomalies, forecasts, explanations
Operations
Workflows across scheduling, flow, revenue cycle
AI Workforce
Agents executing inside their permissions
The context layer
Four resolutions, and everything else depends on them.
This is the part of the product that never demos well and decides whether any of it works. A point-to-point integration moves data. It does not decide that two records describe the same person.
Until identity, place, time and definition are resolved, every cross-system statement is a guess with a decimal point on it.
- Identity
- The “Dr. J. Okafor” in the scheduler, the “OKAFOR, JAMES” in payroll and the NPI in the credentialing file are one provider. Until something decides that, every cross-system number is wrong in a way nobody notices.
- Place
- Westlake, WLK, site 0417 and “Store #17” are one location. Networks accumulate three or four naming conventions through acquisitions, and none of them get retired.
- Time
- A visit date, a pay period, a shift block and a fiscal week do not line up. Comparing labor to volume requires deciding which clock wins, consistently, forever.
- Definition
- Two systems both report “wait time” and mean different things. The context layer holds one definition per measure and records which source it came from, so a number can be argued with.
Back the other way
A decision that stays inside Claritus.One is not a decision.
When a shift is approved it appears in the scheduler your providers open. When a member ID is corrected, it is corrected in the system that will submit the claim. Write-back is not a later phase — it is the difference between an operating layer and a reporting layer.
- Published shift changesScheduling system of record
- Corrected demographics and coverageEMR / practice management
- Exceptions and their resolutionWherever your team already works them
- Overflow routing changesContact center platform
- Metric definitions and resultsYour warehouse, for reuse in BI
How it connects
Whatever the system can actually do.
Healthcare software was not built with this in mind, so integration has to meet each system where it is rather than insisting on a standard nobody implemented.
- APIs, where they exist
- Read and write against documented interfaces, on the cadence the system supports.
- Warehouse and database reads
- If your data already lands somewhere modeled, that is usually the cheapest and most reliable place to read it.
- Scheduled file exchange
- Plenty of healthcare systems still speak in nightly extracts. That is a legitimate integration, not a workaround.
- The spreadsheets your team maintains
- The regional overtime tracker is real operational data. Excluding it because it is not a system is how a platform ends up less informed than a district manager.
Data principles
How we think about your data.
These are design commitments rather than a compliance page. Your security and legal teams will have a longer list, and that is the right conversation to have directly.
Least data, not all data
Claritus reads what the operating questions require. There is no benefit to pulling clinical detail that no operational decision depends on, and real cost to holding it.
The system of record stays authoritative
Claritus does not become the place your schedule lives. Changes are written back, and if Claritus were switched off tomorrow your operation would still have its schedule.
Every write is attributable
Any change Claritus or an agent makes carries who or what made it, under which policy, and the analysis behind it — retrievable later, not just logged.
Access mirrors your org structure
A regional operator sees their region. Permissions are modeled on the organization you actually have, including the parts that do not roll up cleanly.
Categories Claritus.One reads from
EMR
Practice management and clinical record systems
Scheduling
Provider and staff scheduling platforms
HRIS
Human resources information systems
Payroll & Time
Timekeeping and payroll systems
Revenue Cycle
Claims, clearinghouse, and RCM platforms
CRM & Engagement
Patient CRM and engagement tools
Contact Center
Telephony and contact center software
BI & Warehouse
Data warehouses and BI platforms
Spreadsheets
The trackers your team actually maintains
Scoping conversation
Tell us what you run. We’ll tell you what the first integration looks like and what it would make possible.
The useful version of this conversation is specific: which EMR, which scheduler, whether payroll is in the same system as timekeeping, and what already lands in a warehouse. From there the sequence is usually obvious.