Northstar Architecture
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Some Barriers and Challenges to the CDC's Data Modernization Initiative
As we have discussed in earlier posts, the Centers for Disease Control and Prevention (CDC) has launched a Data Modernization Initiative (DMI) focused on improving the data management capacity of public health in the United States. The major focus of this initiative is on investments in both people as well as systems and data to improve public health response. Though Congress has appropriated a significant amount of funding for Federal and state, territorial, local, and tribal (STLT) public health agencies, there are some sizable barriers and challenges to seeing the vision for DMI come to fruition:
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The Changing Face of Public Health System Procurement
The development and acquisition of public health systems is poised to change. Historically, public health agencies had the classic choice when it came to acquiring a new data system. Either they developed the system themselves – usually based on a belief that their requirements were “unique” – or they licensed a COTS/GOTS product from the limited choices available in a small market. Typically, agencies that chose to develop solutions were forced to use a waterfall approach as government procurement is not well suited to the flexibility of Agile systems development. Some agencies have been able to leverage open source offerings. While most do not have the wherewithal to support open source products themselves, many have formed strong partnerships with other organizations, both for-profit and nonprofit, to take advantage of these systems.
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