Module 1 Overview
Unit 1
Module 2 Introduction
Unit 1
Unit 2
Module 3 Instructions
Unit 1
Module 4 Establish a Data Modernization Team
Unit 1
Module 5 Engage Partners
Unit 1
Unit 2
Unit 3
Unit 4
Module 6 Make the Value Case
Unit 1
Unit 2
Unit 3
Module 7 Build Strategic Sustainability for Data Modernization
Unit 1
Unit 2
Technology Development and Acquisition
Unit 3
Unit 4
Unit 5
Module 8 Assess Current State and Opportunities
Unit 1
Unit 2
Unit 3
Unit 4
Unit 5
Unit 6
Module 9 Prioritize Projects
Unit 1
Unit 2
Unit 3
Unit 4
Module 10 Develop the Plan
Unit 1
Module 11 Implement
Unit 1
Unit 2
Unit 3
Module 12 Immunization Information System (IIS) Modernization
Unit 1
Unit 1
Unit 1
Module 13 Data Modernization Appendices
Unit 1
Unit 2
Module 14 Data Modernization Planning Resources
Unit 1

Assess governance and policy

Governance and policy are important parts of the data and systems environment and should be implemented at the beginning of the data modernization planning to avoid major investments that diverge from the evolving strategy. Governance is a broad category of processes and principles. Health departments should consider both data governancehow to protect, secure, and accurately gather each piece of dataand information governancethe process and systems needed to use the data to make decisions about public health practice. Policy includes federal, state, local and organizational guidelines related to data, information technology, privacy and security. 

Success implementing data modernization projects will require health departments to work within the governance and policy constraints of the jurisdiction. Notably, data modernization can include implementing policy. 

Working across agencies to share data

Chicago Department of Public Health and Chicago Public Schools formed a partnership to share data among the two agencies. See how the agencies navigated laws, such as the Family Educational Rights Privacy Act and created an agreement that allowed for data sharing.

Resource: Data governance for public health

This interactive learning opportunity addresses challenges faced by data modernization teams in implementing data governance with an emphasis on the people, policy, legal, and technological considerations.

Resource: Metadata governance framework

The Council for State and Territorial Epidemiologists (CSTE) released a comprehensive framework for defining and assessing metadata governance practices to support interoperability and enable secure data sharing. 

Resource: Information governance principles to lead healthcare toward better data management

The American Health Information and Management Association (AHIMA) created an information governance framework specific to the healthcare industry which establishes a foundation of best practices for information governance programs in the form of eight principles.

Resource: Information governance for public health

A critical topic for data modernization is information governance. This reference will inform the process of making information governance a component of the DMI plan.

Data Modernization