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Data Quality

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Topics for IIS links and resources

 

Data Quality

HIE

HL7

EMREHR

Core Concepts for Data Quality

AIRA National Meeting Presentation on Functional Standards

This presentation presents an overview of the functional standards and operational guidance statements that serve as the building blocks for data quality assurance.

Appendix B – IIS Core Data Elements

This document is an appendix to the Functional Standards, and lists the elements every IIS should store.

CDC: Immunization Information Systems Patient Level Deduplication Best Practices

This document defines best practices related to patient-level deduplication.

Immunization Information Systems Functional Standards, 2013-2017

This document outlines the core functions an IIS should strive to meet by the end of 2017.

Lot Number Validation Best Practices

This microguide was written to improve the quality of lot number capture in IIS.

MIROW Chapter 1: Management of Patient Active/Inactive Status in Immunization Information Systems

This chapter addresses the importance of managing the status and affiliations of client records.

MIROW Chapter 1 Mini Guide: Management of Patient Active/Inactive Status in Immunization Information Systems

This mini guide is a more user-friendly, accessible version of the full chapter above.

MIROW Chapter 2: Vaccine Level Deduplication in Immunization Information Systems

This chapter provides guidance and business rules on merging and resolving duplicates among incoming immunization records.

MIROW Chapter 2 Mini Guide: Vaccine Level Deduplication in Immunization Information Systems 

This mini guide is a more user-friendly, accessible version of the full chapter above.

MIROW Chapter 3: Data Quality Assurance in IIS: Incoming Data

This chapter addresses the importance of high-quality data to build provider confidence and increase data use, and provides guidance and best practices.

MIROW Chapter 3 Mini Guide: Data Quality Assurance in IIS: Incoming Data

This mini guide is a more user-friendly, accessible version of the full chapter above.

MIROW Chapter 7: Data Quality Assurance in Immunization Information Systems: Selected Aspects

This chapter addresses guidance and best practice in most closely identifying the facilities reporting data to IIS.

MIROW Chapter 7 Mini Guide: Data Quality Assurance in Immunization Information Systems: Selected Aspects

This mini guide is a more user-friendly, accessible version of the full chapter above.

MIROW: Lot Number Patterns by Manufacturer and Vaccine Table

This addendum to the microguide above addresses the expected format and sequence of vaccine lot numbers.

PHII: Unique Records Portfolio, 2006

This resource provides guidance for establishing merge/deduplication protocols; it is written for a broader public health audience, but can be very useful for IIS.


The Role of Testing in Onboarding New Data Sources

HL7 Implementation Guide

This document provides guidance on implementing an HL7 interface for data exchange.

HL7 Implementation Guide Addendum

This document updates the HL7 guide with additional guidance.

NIST HL7 Message Testing Resource

This tool was created for EHRs to test their messages for EHR certification; it can also be useful in the IIS DQ process.


Types of Data Quality Intervention

Alaska’s VacTrak Interface Project Stages, 2014

This document outlines the stages needed to develop an electronic health record-IIS interface for data exchange, and includes testing for data quality assurance.

CVX Code Set

This table displays the current accepted code set for vaccine messaging.

Michigan’s Data Quality Improvement Plan, 2015

This plan outlines key data quality principles, and the best practices and resources that support them.

MVX Code Set

This table displays the current accepted code set for messaging vaccine manufacturers.

NDC Crosswalk Tables

This table displays the future accepted code set for vaccine messaging and linking or crosswalking multiple code sets.

Oregon’s Data Quality Protocols, 2013

This plan catalogues one state's procedures to maintain and improve data quality.


These resources are part of a course hosted by the Informatics Academy.