
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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What is the Data Modernization Initiative?
Public health needs data that can move faster than disease. Every system needs to communicate in real time—from local communities, to states, to national and global networks—to stay ahead of the next emerging threat. Legacy, antiquated public health systems limit the efficiency, timeliness and sharing of quality data necessary to positively impact population health. Restructuring those systems to integrate the latest technologies and approaches is a key factor in accelerating public health surveillance.
The Data Modernization Initiative (DMI) is a Centers for Disease Control and Prevention (CDC)-led effort dedicated to unlocking the full potential of data for disease detection and elimination. It is the first comprehensive strategy focused on modernizing data, technology and workforce capabilities to facilitate public health decision-making and deliver timely public health services. The ultimate goal of this initiative is to ensure data is at the forefront and is a driving force behind public health action, guiding decisions efficiently, flexibly, rapidly and with impact.
CDC’s DMI initiative addresses key questions:
- How can timeliness and quality of data be improved?
- How can data activities and systems be better coordinated?
- How can the burden on data partners be reduced?
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