Platform Overview

Connect. Ask. Answer.

Three ways to get your data into Vizier — direct EHR connector, scheduled CSV/SFTP feed, or manual upload. Then ask in plain clinical English. Then get an answer in 60 seconds. No data warehouse. No middleware. No six-month implementation project.

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01

Connect or Upload

Connect Vizier directly to your EHR via FHIR R4, HL7 v2, or a scheduled CSV/SFTP feed — and let Vizier pull data on the cadence you set or on demand when a question needs fresh numbers. Or drag a CSV/Excel file in for ad-hoc analysis. Vizier supports all three paths simultaneously: a quality director can ask a live question against a connected Epic instance and upload last month's payer file in the same session.

02

Ask a Question

Type your question the way you would ask a colleague: "What is our 30-day readmission rate for CHF patients?" or "Which providers have the highest no-show rates this quarter?" Vizier understands clinical terminology, ICD-10 codes, CPT codes, and quality measure language.

03

Get Your Answer

Vizier returns a chart, table, or narrative summary within seconds. Every answer cites the exact rows and columns it used. You can ask follow-up questions, drill into subgroups, or set a threshold alert so you are notified if the metric changes next month.

Schema Intelligence

Vizier Reads Whatever Your EHR Sends

Every EHR represents the same clinical fact differently. Epic Clarity calls admission timestamps “HOSP_ADMSN_TIME.” Cerner Millennium calls them “Admit_DtTm.” Allscripts uses “admitDate.” FHIR represents the same fact as Encounter.period.start. HL7 v2 carries it in PV1-44. A traditional analytics tool requires a data engineer to reconcile all of this manually.

Vizier's schema intelligence layer reads whatever format the data arrives in — Clarity columns, FHIR resources, HL7 segments, or a manually uploaded CSV — and maps each field to a standard healthcare concept covering patient identifiers, encounter timing, diagnosis and procedure codes, provider NPIs, payer information, claim financials, lab results, vital signs, and over 200 additional concepts.

The mapping is shown to you before any analysis runs, so you can confirm or correct it. Once confirmed, it is saved as your organization's schema profile — every subsequent connector pull, feed drop, or upload maps automatically.

Column Mapping Example — Epic Clarity

PAT_ENC_CSN_IDEncounter ID99%
CONTACT_DATEEncounter Date98%
DX_IDICD-10 Diagnosis Code97%
PROV_NPIProvider NPI99%
HOSP_ADMSN_TIMEAdmission DateTime96%
DISCH_DISP_CDischarge Disposition95%
LOSLength of Stay (Days)98%

FHIR Resource Mapping Example

Encounter.period.startAdmission DateTime99%
Encounter.subject.referencePatient Identifier99%
Condition.code (ICD-10-CM)Diagnosis Code98%
Observation.code (LOINC)Lab Result Code97%
Procedure.code (CPT)Procedure Code98%
Practitioner.identifier (NPI)Provider NPI99%
Encounter.hospitalization.dischargeDispositionDischarge Disposition96%

Conversational Analytics in Practice

Questions Quality Directors Actually Ask

Every example below is drawn from real queries submitted by clinical quality teams during pilot programs. The answers come back in under eight seconds.

"What is our 30-day readmission rate for CHF patients discharged in Q4?"

18.4% — above the national CMS benchmark of 15.2%. 34 of 185 discharges readmitted within 30 days.

Output: Rate card + patient list

"Show me A1C trends for patients over 65 with a diagnosis of Type 2 diabetes."

Mean A1C declined from 8.7 to 7.9 over 12 months across 412 qualifying patients. 23% remain above 9.0.

Output: Trend line chart

"Which three providers have the highest no-show rates this quarter?"

Dr. Okafor: 31%. Dr. Huang: 27%. Dr. Patel: 24%. Practice average: 18%.

Output: Ranked table

"What is our claim denial rate for CPT 99214 billed to UnitedHealthcare?"

11.3% denial rate — 67 of 593 claims denied. Top denial reason: missing modifier (CO-4, 41%).

Output: Breakdown chart

"Which DRGs have the longest average length of stay compared to geometric mean?"

DRG 291 (Heart Failure): +2.1 days over geometric mean. DRG 194 (COPD): +1.7 days.

Output: Comparison table

"How many Medicare patients are due for their Annual Wellness Visit this month?"

214 patients — 89 with no AWV in 24+ months. Estimated recovery: $38,200 in preventive reimbursement.

Output: Action list

Threshold Alerts

Set It Once. Know When It Matters.

After any query, click “Set Alert” to tell Vizier the threshold that matters to your team. Whenever new data arrives — from a scheduled connector pull, an on-demand FHIR query, an SFTP feed drop, or a manual upload — Vizier checks every active alert and sends a notification only when a threshold is crossed.

Alerts are deliberate. You choose what to watch. The system does not generate noise — it generates signal. See our full threshold alert documentation for clinical examples including RPM billing compliance monitoring.

30-day readmission rate

Trigger: above 15%

Email quality director + add to agenda

Denial rate — CPT 99214

Trigger: above 10%

Email billing manager + list denied claims

A1C above 9.0

Trigger: more than 5% of diabetic panel

Email care coordinator + patient list

No-show rate

Trigger: above 20% any provider

Email practice manager + provider detail

EHR Compatibility

Works with Every Major EHR

Vizier connects to every major EHR through FHIR R4, HL7 v2, OAuth-based APIs, or scheduled exports. Pick the integration pattern that fits your IT environment — no middleware vendor, no six-month integration project.

EpicOracle Health (Cerner)Allscripts / VeradigmAthenaHealthNextGeneClinicalWorksMeditechSystmOneEMIS Health

Direct connector

FHIR R4 + HL7 v2

Bulk FHIR ($export) included. No per-pull size cap. Refresh: real-time, scheduled, or on-demand.

Scheduled feed

CSV / XLSX / XLS / JSON

Fixed-width also supported. Unlimited file size via SFTP. Refresh on the cadence you set.

Manual upload

Up to 500 MB / 5M rows

CSV, XLSX, XLS. For ad-hoc analysis, non-EHR data, or proof-of-value before connector approval.

Schema mapping

200+ concepts

Auto-mapped across all three paths. Confirm or correct once, then it's saved as your profile.

See the Three-Step Process with Your Own Data

Connect your EHR live for the demo, or bring an export — either works. We'll map your schema, run your first query, and show you a threshold alert in one session.

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