| Module 1 | Overview |
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| Module 2 | Introduction |
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| Module 3 | Instructions |
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| Module 4 | Establish a Data Modernization Team |
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| Module 5 | Engage Partners |
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| Module 6 | Make the Value Case |
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| Module 7 | Build Strategic Sustainability for Data Modernization |
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| Module 8 | Assess Current State and Opportunities |
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| Module 9 | Prioritize Projects |
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| Module 10 | Develop the Plan |
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| Module 11 | Implement |
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| Module 12 | Data Modernization Appendices |
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| Module 13 | Data Modernization Planning Resources |
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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 governance—how to protect, secure, and accurately gather each piece of data—and information governance—the 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
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.
