Healthcare Data Dictionary for the Modern Data Stack

The Healthcare Data Dictionary
for dbt, Snowflake, Databricks & BigQuery

100,000+ ISO-11179 standard healthcare data terms for dbt projects, Snowflake schemas, Databricks lakehouses, and BigQuery datasets. Free tools for healthcare data engineers.

Search healthcare terms, abbreviations, codes…
100K+
Terms & Abbreviations
11
Engineering Tools
1,000+
Data Professionals
32+
Reference Guides

Works with

dbt
dbt
SF
Snowflake
DB
Databricks
BQ
BigQuery

Built by healthcare data engineers with experience at Epic, Optum, and CMS meet the team →

New

AI-Powered Data Modeling

Generate production-ready healthcare data models in seconds. 8 architectures, 8 platforms, 100K+ healthcare terms as context.

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Coverage

Every healthcare data domain, standardized

Built for the full healthcare data ecosystem — from provider enrollment to pharmacy claims and clinical quality reporting.

Provider Data

NPI, taxonomy classifications, credentialing, and provider network schemas. Production-ready standards for healthcare organizations.

NPITaxonomyCredentialingNetwork

Claims & Billing

ICD-10, CPT, EDI 837/835, carrier payments, and adjudication workflows. Complete coverage from submission to remittance.

ICD-10CPTEDIAdjudication

Pharmacy

NDC codes, dispensing data, CSTD safety protocols, and PBM integration standards for medication data pipelines.

NDCDispensingPBMRxNorm

Clinical & Quality

HCC risk adjustment, HEDIS measures, FHIR resources, LOINC, SNOMED CT, and Stars ratings data models.

HCCHEDISFHIRStars

Product Preview

See the tools in action

Purpose-built for healthcare data workflows — from SQL auditing to HL7 message parsing.

mdatool.com/tools/sql-linter

SQL Input

SELECT
  p.patient_id,
  p.first_name,
  p.last_name,
  d.description,
  c.clm_id,
  c.total_charge_amount
FROM patients p
JOIN claims c
  ON p.patient_id = c.patient_id
JOIN diagnoses d
  ON c.clm_id = d.claim_id
WHERE p.status = 'A'

Lint Results

Naming violation

description — use standard abbr desc

Performance warning

Implicit JOIN on clm_id — verify index exists

Naming convention

total_charge_amount — prefer total_chg_amt

Parameterization — OK

No string concatenation or injection risk detected

1 error2 warnings1 passed

SQL Linter

Security violations, missing parameterization, naming non-compliance, and performance issues flagged inline — before they reach production.

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How it works

From definition to deployment

mdatool fits into the healthcare data engineer's workflow at every stage — from naming a column to validating a full DDL migration.

01

Search the Standard Library

Look up any healthcare data term — from NPI and ICD-10 to HCC codes and NDC. Every entry includes the canonical abbreviation, full definition, and domain context (Provider, Claims, Pharmacy, Clinical).

100,000+ terms across provider, member, claim, and RX domains

02

Run Your Data Through the Tools

Use the engineering toolkit to lint SQL for security and performance issues, convert DDL across databases (Snowflake, BigQuery, Oracle, SQL Server), audit column naming compliance, and sanitize bulk column lists against the glossary.

7 tools: SQL Linter, DDL Converter, Bulk Sanitizer, Naming Auditor, Name Generator, AI Modeling, HCC Calculator

03

Export and Implement Standards

Download your standardized naming conventions as CSV or Excel, export validated DDL scripts ready for deployment, and share a consistent data dictionary with your team — from data engineers to analytics leads.

CSV, Excel, and SQL export · Pro API access · Team collaboration

Why mdatool

Why teams choose mdatool

Purpose-built for healthcare data — not adapted from a generic tool.

Built for Healthcare

Not a generic data dictionary. Every term, abbreviation, and naming convention is healthcare-specific — covering provider, claims, pharmacy, and clinical domains end to end.

Engineer-First

Tools designed for data engineers, not just analysts or business users. SQL linting, DDL conversion, schema diffing — built for the data warehouse, not a slide deck.

Ready to Deploy

Export-ready DDL, CSV, and API access — not just a reference doc. Drop standardized schemas directly into Snowflake, BigQuery, Oracle, or any SQL platform.

Standardize your healthcare data — starting today

Free forever for individuals. No credit card required.