Land the Healthcare Data Job. Hit the Ground Running Once You Do.

The Epic Clarity SQL Interview Guide — 50 annotated SQL queries across 6 clinical modules, written by a 12-year healthcare analytics veteran. Every query in both Oracle and SQL Server.

Instant PDF download · Oracle + SQL Server · One-time payment

About the author

Written by Steve Holvick — 30+ years in IT, 12+ years in healthcare analytics. I've written production SQL against Epic Clarity at health systems across the country. This guide is built from that experience, not from documentation.


Everything inside the Epic Clarity SQL Interview Guide

  • 50 fully annotated SQL queries — every query explained in plain English

  • All 50 queries in both Oracle SQL and SQL Server (T-SQL)

  • Module 1 — Scheduling & Access Analytics (Q1–Q9)

  • Module 2 — Encounters & Patient Activity (Q10–Q18)

  • Module 3 — Orders & Clinical Analytics (Q19–Q30)

  • Module 4 — Diagnoses & Problem Lists (Q31–Q38)

  • Module 5 — Provider & Workforce Analytics (Q39–Q44)

  • Module 6 — Quality & Population Health (Q45–Q50)

  • Introduction & User Guide — two reading paths, one for job seekers, one for new analysts

  • Appendix — ZC_ lookup reference, Oracle vs. SQL Server cheat sheet, key table relationships, performance tips, and a complete question index

  • Schema setup guide for Oracle — how to find your schema name and set it before querying

  • Epic Clarity concepts glossary — 14 terms every analyst needs to know

  • ZC_ Lookup Table Notices on every query that uses category list codes — with ready-to-run discovery queries

Delivered as a single PDF via email instantly after purchase.


This guide is for you if...

You have an interview coming up

  • You're interviewing for a healthcare data analyst or clinical analytics role

  • You want to walk in knowing the real query patterns, not just generic SQL

  • You need to speak confidently about Clarity, ZC_ tables, and schema setup

  • You want to know what hiring managers actually ask — not what textbooks say

You just started a new Clarity role

  • Your first report request is due and you're not sure which tables to join

  • You know SQL well but the Epic data model is new and overwhelming

  • You want production-ready templates you can adapt immediately

  • You need the healthcare-specific context that no SQL course covers

One honest disclaimer: This guide assumes you already know SQL — JOINs, GROUP BY, WHERE clauses. If you're brand new to SQL, take a fundamentals course first and come back. What this guide teaches is the Epic Clarity data model and healthcare-specific query patterns that no generic SQL tutorial will cover.

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Common Questions

Do I need to already know Epic Clarity?

No. The guide includes an introduction that explains what Clarity is, how it relates to Chronicles, and what the key tables do. You do need to know SQL already — this teaches the healthcare data model, not SQL from scratch.

Does this work for Oracle and SQL Server?

Yes. Every query is in both Oracle SQL and SQL Server T-SQL, side by side in the same document. The guide also walks you through how to set your Oracle schema before running any query.

Will the queries work exactly in my environment?

They're written against standard Epic Clarity defaults. Every query that uses category list codes includes a discovery query so you can verify the values match your environment before running anything in production.

I have an interview next week — will this help?

Yes, specifically. The introduction maps the most common Clarity interview questions directly to the queries that prepare you to answer them.

What format is the download?

A single PDF delivered instantly after purchase. It opens in any PDF reader — Adobe, Preview, browser, phone, anything.

Are more guides coming?

Yes. This is the first in a series of healthcare data and technical guides. You'll be notified at your purchase email address when new guides are released.


sqlhired.com is a series of practical guides for healthcare data professionals — built by someone who has done the work, not someone who has read about it.

© Steve Holvick · sqlhired.com