Conversational Analytics

Ask Your Data Like You Are Talking to a Colleague

Vizier understands clinical language. ICD-10 codes, CPT codes, quality measure terminology, payer names, provider NPIs — type the question the way you think it and get a chart or table within seconds. No SQL. No pivot tables. No BI analyst required.

Try a Demo QueryHow It Works

The Dashboard Problem

Dashboards Answer the Questions Someone Thought to Ask Three Months Ago

Every dashboard was designed for a question that made sense when it was built. The moment your focus shifts — a new quality program, a payer contract change, a CMS rule update — the dashboard you have does not answer your new question. You log a request with IT. Six weeks later a new panel appears. By then the question has changed again.

Conversational analytics inverts this entirely. You ask the question you have right now, using the language you use in clinical meetings. The system answers it. If the answer raises another question, you ask that one too. There is no dashboard to maintain, no IT ticket to file, and no delay between a question forming in your mind and an answer appearing on your screen.

Dashboards are not inherently wrong. Vizier lets you save any query result as a persistent view — a "living dashboard" that reruns automatically on each data upload. The difference is that these views emerge from real questions rather than being pre-built by analysts who anticipated what you might eventually want to see.

The typical dashboard lifecycle:

Quality director asks a question

Day 0

IT logs the dashboard request

Day 1

Analyst scopes the data sources

Day 7

Draft dashboard sent for review

Day 28

Revisions and approval cycle

Day 42

Dashboard published

Day 56

Original question no longer relevant

Day 60

With Vizier: Day 0 → Answer in 8 seconds.

Real Query Examples

Twelve Queries. Twelve Answers. No SQL Written.

Each example below shows the query as typed, the result type Vizier returns, and the clinical context that makes the answer meaningful. All examples reflect real questions submitted by clinical quality teams.

Output: Rate Card + Patient List

"What's our 30-day readmission rate for diabetic patients?"

21.3% — 94 of 441 diabetic patient discharges readmitted within 30 days. CMS national average: 17.8%. Patient list available for care management follow-up.

Directly relevant to the HRRP (Hospital Readmissions Reduction Program) under ACA §3025. Excess readmissions can trigger CMS payment reductions of up to 3% on Medicare base payments.

Output: Trend Line Chart

"Show A1C trends for patients over 65 in the last 12 months"

Mean A1C across 318 qualifying patients fell from 8.4 (Jan) to 7.6 (Dec). 28% remain above 9.0. Month-by-month trend line shown with volume overlay.

Relevant to HEDIS measure HbA1c Control for Patients with Diabetes (CDC). A1C above 9.0 is the NCQA threshold for poor control.

Output: Ranked Table

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

Dr. Okafor: 34% (89/261). Dr. Bergmann: 29% (71/245). Dr. Chaudhry: 26% (58/223). Practice mean: 19%. National primary care benchmark: 18–23%.

Each percentage point of no-show rate above 20% represents approximately $8,400 in lost revenue per full-time provider annually at average E&M reimbursement.

Output: Score Card

"What's our MIPS score as of today?"

Estimated composite MIPS score: 67.4 out of 100. Quality: 42.1/45. Promoting Interoperability: 12/25. Improvement Activities: 13.4/15. Cost: not yet calculated. Score as of last data upload Feb 14.

A MIPS score below 75 results in a payment penalty; above 85 qualifies for a positive adjustment. CY 2024 exceptional performance threshold is 89.

Output: Comparison Bar Chart

"Show denied claims by payer this quarter"

UnitedHealthcare: 14.2% denial rate ($218,400 denied). Aetna: 11.8% ($164,200). BCBS: 9.1% ($142,600). Medicare: 4.3% ($87,100). Medicaid: 16.1% ($93,400).

Medicaid's 16.1% denial rate is significantly above the 5–7% industry benchmark. Top denial codes shown: CO-4 (incomplete modifier), CO-97 (not separately payable).

Output: Sorted Table

"Which diagnosis codes have the longest average length of stay?"

DRG 291 (Heart Failure): 6.8 days vs. 4.7-day geometric mean (+2.1). DRG 871 (Septicemia): 8.2 days vs. 6.1-day geometric mean (+2.1). DRG 194 (COPD): 5.4 days vs. 3.8-day geometric mean (+1.6).

Length of stay above geometric mean affects CMI-adjusted reimbursement under MS-DRG. Excess days are not fully compensated, representing direct margin compression.

Output: Action List

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

387 Medicare patients due for AWV (CPT G0438 or G0439) in February. 141 have had no AWV in 24+ months. 246 are due for their subsequent AWV. Estimated billable value: $67,200.

AWVs (G0438 initial, G0439 subsequent) reimburse at approximately $174 and $111 respectively under 2024 Medicare Fee Schedule. No cost-sharing to patient under ACA preventive care provisions.

Output: Proportion Chart + Patient List

"What percentage of our hypertensive patients have BP readings above 160 systolic?"

18.4% of hypertensive panel (214 of 1,163 patients) had most recent reading ≥160 systolic. 87 of these had no BP reading recorded in the past 6 months.

HEDIS CBP measure (Controlling High Blood Pressure) uses <140/90 as the target. JNC 8 guidelines recommend BP <150/90 for patients 60+ as the primary threshold for pharmacological intervention.

Output: Distribution Chart

"Show CPT 99213 and 99214 billing distribution by provider for Q4"

Practice mean: 31% 99213, 54% 99214, 9% 99215. Dr. Williams: 12% 99213, 71% 99214 — statistically high 99214 rate may warrant documentation audit. Dr. Park: 61% 99213 — may be undercoding.

E&M coding distribution outliers (2+ SD from peer mean) can trigger MACs (Medicare Administrative Contractors) to initiate post-payment review. Internal audits at 12-month intervals are standard compliance practice.

Output: Patient List

"Which patients with COPD had an ED visit in the last 90 days?"

43 patients with ICD-10 J44.x who had an ED encounter in the past 90 days. 18 were subsequently admitted (COPD-related hospitalization rate: 41.9%). 11 had no follow-up visit within 7 days of discharge.

Post-discharge follow-up within 7 days for COPD patients is a HEDIS FUH measure component and a CMS quality reporting metric under the IPFQR program.

Output: Trend Line + Summary

"What is our average days to close for patient complaints this year?"

Mean time to complaint resolution: 12.4 days YTD. Longest category: billing disputes (18.7 days). Shortest: scheduling (4.2 days). 7% of complaints exceeded 30 days — CMS QAPI standard requires 30-day closure.

CMS Conditions of Participation (42 CFR §482.13) require hospitals to have a grievance process. QAPI programs under §482.21 track complaint resolution time as a performance improvement indicator.

Output: KPI Dashboard

"Show revenue cycle KPIs: AR days, clean claim rate, and denial rate"

AR Days: 34.2 (target <35). Clean Claim Rate: 91.4% (industry benchmark 95%+). First-pass Denial Rate: 10.8% (target <5%). Net Collection Rate: 94.2%. Days in Accounts Receivable over 90 days: 18.3%.

A clean claim rate below 95% and denial rate above 5% are widely cited industry underperformance thresholds. Each additional AR day represents approximately $28,000 in working capital tied up for a 100-physician group practice.

Clinical Language Intelligence

Why Clinical Language Matters in Healthcare Analytics

Generic natural language query tools — including Microsoft Power BI's Q&A feature and Tableau's Ask Data — are designed for business data. They understand "revenue by region" and "units sold last quarter." They do not understand "HEDIS CDC measure," "CMS-HCC risk score," "DRG geometric mean length of stay," or "30-day readmission under the HRRP."

Vizier's natural language layer is trained on clinical and healthcare operations terminology. It resolves ICD-10 codes and code ranges (J44.x for all COPD variants). It understands that "diabetic patients" means patients with ICD-10 E10.x, E11.x, or E13.x. It knows that "annual wellness visit" maps to CPT G0438 and G0439.

When you ask "which providers are outliers on 99214 billing," Vizier calculates the peer distribution, applies statistical outlier detection, and flags providers who are 1.5 or more standard deviations above the practice mean — without you needing to specify that calculation.

Vizier vs. Generic NLQ Tools

"Show me diabetic patients with poor control"

VIZIER

Resolves to ICD-10 E10.x, E11.x, E13.x AND A1C > 9.0. Returns patient-level results.

OTHERS

Returns an error or asks "what does diabetic mean?"

"What are our MIPS quality measures?"

VIZIER

Matches your data to applicable 2024 MIPS quality measures by specialty and patient population.

OTHERS

Cannot resolve MIPS — no healthcare regulatory context.

"Which DRGs are above geometric mean?"

VIZIER

Pulls CMS FY2024 geometric mean LOS table, compares against your encounter data, ranks by variance.

OTHERS

Cannot resolve DRG or geometric mean without manual reference data upload.

"Show J44.x encounters this quarter"

VIZIER

Expands J44.x to all COPD subcategories (J44.0, J44.1, J44.9), returns encounter list.

OTHERS

Requires exact code. Cannot interpret ICD-10 wildcard ranges.

Healthcare Vocabularies

What "Understands Healthcare" Actually Means

Every analytics vendor claims their AI understands healthcare. The real test is whether the system natively resolves the vocabularies, code systems, and measure specifications that clinical and operations teams use every day. The eight categories below are the ones Vizier handles inline — without requiring you to upload reference data, write code-system crosswalks, or stitch together external scoring services.

HEDIS measure denominators

When you ask "what is our HEDIS CDC performance," Vizier applies NCQA-published denominator logic — patients 18–75 with two outpatient encounters or one inpatient stay carrying a diabetes diagnosis during the measurement year or year prior, continuous enrollment, applicable exclusions. The denominator is not the same as "rows with E11.x in the diagnosis column" — and getting it wrong inflates or deflates your rate against the national benchmark.

MIPS measure exclusions

MIPS Quality #001 (HbA1c Poor Control >9%) excludes patients in hospice, deceased during the measurement period, gestational diabetes (O24.4x), and steroid-induced diabetes (E09.x). MIPS #122 (Adult Kidney Disease) excludes patients on chronic dialysis. Vizier applies the CMS-published exclusion logic for each quality ID alongside the inclusion criteria — exclusions are not optional to compute, but they are commonly missed in homegrown SQL.

LACE+ readmission scoring

LACE+ combines Length of stay, Acuity (admission through the ED, yes/no), Charlson Comorbidity Index from prior diagnoses, and ED visits in the past 6 months. Vizier computes the score per discharge from existing claims and encounter data — no external scoring API, no chart abstraction. Any readmission-prevention query can surface patients above your LACE+ threshold (most programs use 60 or higher as the high-risk cohort).

ICD-10-CM hierarchy

Vizier expands code ranges (J44.x → J44.0, J44.1, J44.9 for COPD subcategories), rolls up to chapter level on request (Chapter J = all respiratory diseases, J00–J99), distinguishes acute from chronic (I21 acute MI vs. I25 chronic ischemic heart disease), and respects the laterality and severity suffix structure introduced with ICD-10. "Diabetic complications" expands to E08–E13 with .2x–.9x suffix patterns.

RxNorm drug normalization

A query for "metformin" matches RxNorm ingredient code 6809 — covering all dosages (500mg, 850mg, 1000mg, 750mg ER), brand names (Glucophage, Glumetza, Fortamet, Riomet), and combination products that contain metformin (Janumet, Glucovance, Metaglip, Synjardy). The reverse is also true: a query against a specific brand resolves to its RxNorm components so that medication-adherence and polypharmacy analyses are not fragmented by spelling and product variants.

LOINC laboratory codes

A1C results map to LOINC 4548-4 (Hemoglobin A1c/Hemoglobin.total in Blood) and LOINC 17856-6 (IFCC method). LDL cholesterol resolves to 13457-7 (calculated) or 18262-6 (direct measurement). Vizier reconciles encoded lab results across these representations and also matches the loosely-coded labs that some EHRs send as description text without a LOINC code attached — common when results arrive via interface engines from outside reference labs.

SNOMED CT clinical concepts

A query for "diabetic patients" against FHIR or international EHR data matches SNOMED 73211009 (Diabetes mellitus) and all descendant concepts via the SNOMED IS-A hierarchy — 44054006 (Type 2), 46635009 (Type 1), 11530004 (Brittle diabetes). Important for non-US deployments and Epic / Cerner FHIR exports that use SNOMED problem-list coding rather than ICD-10. Vizier maintains the SNOMED-to-ICD-10 crosswalk so queries written either way return identical cohorts.

CPT modifiers

CPT modifiers change billing meaning. Modifier 25 (significant separately identifiable E&M on the same day as a procedure) means a 99214-25 should not be counted as a routine 99214. Modifier 59 (distinct procedural service) affects bundling and NCCI edits. Modifier 91 (repeat clinical diagnostic lab) and 76 (repeat procedure by same physician) drive duplicate-claim denial patterns. Vizier separates billings by modifier when computing provider distributions or denial analyses.

None of these vocabularies are exotic — they are the working language of every quality director, revenue cycle manager, and population health team in US healthcare. Most generic NLQ tools require you to translate them into raw column names and value lists before they answer. Vizier does that translation as the first step of every query.

Contextual Conversation

Each Answer Opens the Next Question

Vizier maintains context within a session. After an initial answer, follow-up questions can reference "those patients," "that provider," or "the same time period" without repeating the full specification.

You

What is our readmission rate for CHF patients discharged in Q4?

Vizier

18.4% — 34 of 185 CHF discharges readmitted within 30 days. National CMS benchmark: 15.2%. Do you want to see the patient list or break this down by provider?

You

Break it down by attending physician.

Vizier

Dr. Holloway: 26.7% (8/30). Dr. Tanaka: 22.2% (6/27). Dr. Mbeki: 14.8% (4/27). Dr. Santos: 12.5% (3/24). Remaining 4 attendings: 11–14%. Dr. Holloway is 8.3 percentage points above practice mean.

You

Show me Dr. Holloway's readmitted patients — what were their discharge dispositions?

Vizier

Of Dr. Holloway's 8 readmitted patients: 5 were discharged to home without services, 2 to home health, 1 to SNF. 6 of the 8 were readmitted within 10 days, suggesting early decompensation rather than post-SNF decline.

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