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Overview

Validating data from Health IT systems is the cornerstone of effective Health IT Enabled QI. Ensuring that Health IT-generated reports and data reflect an accurate picture of the care and outcomes of your population ensures that data is actionable for quality improvement, monitoring as well as many other purposes. This validation must be ongoing as system , provider, workflow, and other changes, can all impact accuracy of data. This section provides worksheets, guides, and tips for validating data.

Data Accuracy Resources
Managed Care Data Checklist for FQHCs

Managed Care Data Checklist for FQHCs

Companion Document to Video Module: Payer Data: The Managed Care Data. Prepared by Starling Advisors for the HITEQ Center in July 2022.

How to Use This Checklist:
This is a supplement to our Module 2: The Managed Care Data Set, which uses the HCP-LAN APM Framework as its basis. Review both before using this checklist. There are terms used throughout that may be new to you or may benefit from detailed explanations—please visit our Value Based Payment Glossary for basic definitions for a host of key terms.


This document assists organizations in understanding the necessary data and data-related tools for managing population health within a managed care environment. It is a primer on the types of best-practices that are necessary to maximize care delivery models that are responsive to value-based payment programs. Follow this checklist to further your understanding of these considerations and to help flag any outstanding issues for legal and/or consultant review prior to execution.


It is important to understand, contracts can be complicated and no one tool can effectively address all possible contract configurations and their potential issues. Use this as a guide with other resources, access outside expertise when needed, and apply your own knowledge and understanding of your business. It also never hurts to ask the health plan representatives if something is not clearly understood.

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Documents to download

Acknowledgements

This resource collection was compiled by the HITEQ Center staff with guidance from HITEQ Advisory Committee members and collaborators of the HITEQ Center.