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Data Quality

Data Quality

Issued on August 18, 2020 by AIRA, CT, ND, OR

Select AIRA 2020 National Meeting Presentations: Learn about several data quality initiatives throughout the IIS community

SmartyStreets Address Cleansing and Geocoding Orientation

An orientation session designed to help IIS get started with SmartyStreets

CDC Panel Discussion: Advancing IIS Together

CDC Panel Discussion: Advancing IIS Together

Issued on August 4, 2020 by AIRA, CDC

Select AIRA 2020 National Meeting Presentations: CDC leadership shares their vision for advancing IIS together, with Q&A after the panel discussion

AIRA Discovery Session: Monitor Data Quality by Provider with the Data at Rest (DAR) Tool - A Pilot Update

A Discovery Session webinar focusing on the Data at Rest (DAR) pilot project and the data quality tools available to IIS to monitor data quality by provider

Progress, Successes: IIS Measurement and Improvement

This document highlights the progress and successes of IIS found through an independent, third party method of IIS evaluation, where AIRA partnered with the National Institute of Standards in Technology (NIST) and the Measurement for Assessment and Certificati...

AIRA Data Quality Practices Guide

AIRA Data Quality Practices Guide

Issued on September 28, 2017 by AIRA

Webinar | AIRA's Assessment Steering Committee introduced the IIS Data Quality Practices – Monitoring and Evaluating Data Submissions guide. Webinar speakers included Erin Roche, lead consultant/writer for the guide and former manager of the Minnesota IIS, a...

IIS Data Quality Practices - Monitoring and Evaluating Data Submissions

This resource for the IIS community focuses on the ongoing data monitoring and evaluation process for incoming data submissions

AIRA Discovery Session: The Immunization Calculation Engine (ICE) and IIS Data

Webinar | This Discovery Session featured an epidemiologist from Colorado who shared how they use an open source forecasting tool called the Immunization Calculation Engine (ICE) within the Colorado IIS

IIS Implementation Guidance for a Shared Address Cleansing & Geocoding Service

How an IIS can use and integrate the SmartyStreets address cleansing and geocoding service into its organization. Interested IIS can find more information about the service and how to enroll in it on the Address Cleansing Service webpage.

HL7 Data Quality Tool: Transformation to a General Purpose Open- Source Tool

National Meeting Presentation | HL7 Data Quality Tool: Transformation to a General Purpose Open- Source Tool

ICE Update: Product Governance, Roadmap, and Use

ICE Update: Product Governance, Roadmap, and Use

Issued on April 26, 2017 by HLN Consulting, LLC

National Meeting Presentation | ICE Update: Product Governance, Roadmap, and Use

Leveraging a Multi-State Collaborative for Developing Immunization Information System Enhancements:  An Evolving Model

National Meeting Presentation | Leveraging a Multi-State Collaborative for Developing Immunization Information System Enhancements: An Evolving Model

Automating Electronic Health Record (EHR) Integration

Automating Electronic Health Record (EHR) Integration

Issued on September 20, 2012 by Atlantic Management Center, Inc.

National Meeting Presentation | Automating Electronic Health Record (EHR) Integration

Navigating the Challenges of HL7 Data Exchange:  What They Should Send, What They Could Send, What They Do Send

National Meeting Presentation | Navigating the Challenges of HL7 Data Exchange: What They Should Send, What They Could Send, What They Do Send

Continuing Evolution: California’s Two-pronged Approach to IIS and Interoperability

National Meeting Presentation | Continuing Evolution: California’s Two- pronged Approach to IIS and Interoperability

EHR-IIS Interoperability: Progress to Date and Preliminary Outcomes

National Meeting Presentation | EHR-IIS Interoperability: Progress to Date and Preliminary Outcomes

Interoperability Benefits Can Lead to Great Unintended Benefits and Improved Data Quality

National Meeting Presentation | Interoperability Benefits Can Lead to Great Unintended Benefits and Improved Data Quality