Operational Intelligence
Your EHR records what happened. It was never built to tell you what changed.
Native EHR reporting is genuinely good at what it is for — pulling the record, producing the required output, answering a defined question. Performance analysis across that data is a different job, and it is the one that keeps landing in a queue.
Read-only connectivity to Epic, Cerner / Oracle Health, Athena, MEDITECH, Allscripts, NextGen, eClinicalWorks, SystmOne and EMIS — or start from an export.
The problem
Every question goes through the one person who can write the report.
The pattern is close to universal. Your EHR holds the data. Getting a non-standard question answered from it requires someone who knows the reporting tool — Reporting Workbench, CCL, a report builder, a SQL extract — and that person has a queue.
So the organization develops a rhythm around the constraint. Standard reports run because they are already built. Novel questions get triaged: important enough to join the queue, or not important enough to ask. Over time people stop asking, which is read as demand falling rather than as unmet need.
Meanwhile the analysis that would actually find problems — comparing this month to the trailing pattern, across every service line, every payer, every ward — is not something a report request model can produce. Nobody has time to request four hundred reports a month on the chance one of them shows something.
- Any question outside the standard report set requires a ticket and a wait
- One or two people are the only route to non-standard EHR data, and they are always busy
- Reports get built, used twice, and then maintained forever because nobody knows who still relies on them
- Clinical and operational leaders keep private spreadsheets extracted from the EHR
- Analysis stops at the boundary of the EHR — payer files, cost data and workforce data live elsewhere
- You have never systematically checked whether a metric moved, because there is no mechanism that would
Capabilities
What Vizier surfaces from EHR data
Vizier reads your EHR data and evaluates it continuously across performance domains, surfacing what changed rather than waiting for a report request.
Operational movement
Length of stay, throughput, discharge timing and utilisation shifting within specific units, service lines or provider groups.
Documentation and coding drift
Where clinical documentation or coding patterns have moved away from your own historical baseline, and what that implies downstream.
Quality signal change
Measure performance and outcome indicators moving within cohorts, before the aggregate reflects it.
Cross-domain connection
Linking what the EHR records to what happens after it — denials, reimbursement, readmission — so a documentation change and its financial consequence are visible together.
Plain-language investigation
Follow-up questions asked and answered directly, without a report request, by the person who has the question.
Reporting that still exists
The standing reports your committees expect, produced alongside findings — so this is not a second system to run.
What a finding looks like
This finding exists inside EHR data that the organization already had. Producing it as a report would have required somebody to suspect it, request it, and know to separate discharge order time from actual departure time.
Instead it arrived with the unit named, the case mix explanation already tested and rejected, and the delay located in a specific window. That is a process fix, not a clinical one.
Length of stay has risen on one unit while the case mix explanation does not hold.
- Mean length of stay rose from 4.1 to 5.3 days over ten weeks on one unit.
- Case mix index for the unit is essentially unchanged across the same period.
- The increase is concentrated in the final 48 hours of stay rather than spread across the admission.
- Discharge orders are being written at a similar time; the delay is between order and departure.
Review the discharge process on unit 4 between order and departure, starting with transport and pharmacy turnaround in the afternoon window.
The reporting gap
Why native EHR reporting cannot close this gap
This is not a criticism of Epic, Cerner or any other vendor's reporting tools. They are built to report on the record, and they do that job well. Performance analysis across the record is a different problem with different requirements.
- Report-request models scale with the number of questions asked, not the number worth asking.
- Native tools are optimised for retrieving the record, not for detecting change against a baseline.
- Specialist skills gate access, so the constraint is one person's availability.
- Analysis stops at the EHR boundary, and most root causes involve data from outside it.
- Nothing prompts — if nobody requests the report, the trend continues undetected.
- Report sprawl accumulates, and nobody can safely retire anything.
What this replaces
This replaces the report request queue
The queue is the real cost, and it is mostly invisible because it never appears as a line item. It shows up as delayed decisions, as leaders working from stale spreadsheets, and as analysts spending their careers building variations of reports that already exist.
Vizier does not replace your EHR or its reporting module. It changes what has to go through them. Routine performance questions get answered directly by the person asking, and the queue shortens to the work that genuinely needs a specialist.
- The report request backlog for routine operational and clinical questions
- Report builds that consume specialist time and are used twice
- Private spreadsheets maintained because the official report does not answer the question
- External consulting for analysis your EHR data could already support
- The organizational habit of not asking, because asking takes three weeks
Who this is for
Same EHR data. Three teams that currently cannot get to it.
Analytics / Data
How do we shorten the report queue without losing control of the definitions?
- Consistent definitions so two leaders asking the same question get the same answer
- Self-service investigation that does not generate another ticket queue
- Governance, access control and audit logging that survive review
COO / Operations
Where is operational performance moving, and what is causing it?
- Throughput and patient flow constraints identified by location and service line
- Performance variability between sites made visible rather than averaged away
- Operational deterioration flagged while it is still a trend, not a crisis
CFO / Finance
What is happening in clinical operations that will show up in the financials next quarter?
- Revenue leakage surfaced with the exposure quantified
- Reimbursement and payer performance movement, early
- Financial impact ranked so the biggest number gets attention first
Getting your data in
Connect read-only, or start from an export.
Direct EHR connectivity is a step, not a prerequisite. Most engagements start from a file while the connection is scoped through your normal governance process.
- An export you already produce — encounters, discharges, or a service line extract.
- Scheduled extracts over secure transfer on whatever cadence your team already runs.
- Read-only connectivity via FHIR R4, HL7 v2 or vendor APIs. Vizier reads; it never writes back.
01
Upload
CSV, Excel, or an export you already produce. Drop it in and Vizier reads it. This is where most organizations start, and it is enough to see real findings against your own numbers.
02
Scheduled
A recurring feed over secure transfer, on whatever cadence your team already runs. No one re-uploads anything by hand, and nothing about your source systems has to change.
03
Connected
Direct read-only connectivity to your EHR or source systems via FHIR R4, HL7 v2, or vendor APIs. Vizier reads; it never writes back.
Connect your EHR when you’re ready. See supported systems.
Security and governance
The page your CIO will ask for
Security questions get answered before a demo, not after procurement stalls.
HIPAA compliant
PHI handled under HIPAA Security Rule safeguards.
BAA included
Executed within one business day, on every plan.
Encrypted throughout
AES-256 at rest, TLS 1.3 in transit.
Read-only access
Vizier reads from source systems. It never writes back.
Role-based access control
Scoped permissions with SSO available.
Audit logging
Every query logged with account, timestamp and result size.
Tenant isolation
Your data is segregated from every other customer's.
SOC 2 Type II audit underway
Not yet certified. Report available under NDA on completion.
FAQ
Questions buyers ask
Does Vizier write anything back to our EHR?
No. Connectivity is read-only, always. Vizier does not modify orders, create encounters, alter documentation or touch clinical decision support. Every credential is scoped to read permission on the source, and every query is logged with account, timestamp and result size so your team can audit exactly what was accessed.
Which EHRs do you connect to?
Direct read-only connectors are live for Epic, Cerner / Oracle Health, AthenaHealth, Allscripts / Veradigm, MEDITECH, NextGen, eClinicalWorks, SystmOne (TPP) and EMIS Health, via FHIR R4, HL7 v2 or vendor APIs. If yours is not on that list, scheduled feeds and uploads work regardless of source system.
Do we need our EHR vendor's approval?
You will need to follow your organization's normal process for granting third-party read access, which usually involves your IT and information governance teams and sometimes the vendor. That process is why we do not treat connectivity as a prerequisite — starting from an export means the value is proven before anyone is asked to approve anything.
How is this different from Epic Reporting Workbench or Cerner CCL?
Those are built to retrieve and report on the record, and they are good at it. Neither is built to continuously evaluate performance across the whole dataset and tell you what changed without being asked. The practical difference for most organizations is who can use it: native reporting requires a specialist, which creates the queue. That queue is what this replaces.
Will it work if our EHR data is messy?
Within reason, yes — that is a normal starting condition rather than a disqualifying one. Vizier is built to work with imperfect and partial data and to be explicit when the evidence for a finding is thin. What it will not do is invent confidence it does not have; where the data cannot support a conclusion, it says so.
Can we combine EHR data with data from elsewhere?
Yes, and that is usually where the most useful findings come from. Most root causes cross the EHR boundary — a documentation change shows up as a denial in the remittance file, a staffing change shows up as length of stay. Connecting those is the point.
Related reading
See what Vizier finds in your EHR data.
Start with an export — no connector, no IT project, no waiting. Thirty minutes against your own numbers.
Start with the data you already have. Connect your EHR when you’re ready.