Artificial intelligence has CDK representative acknowledging productivity boost, reporting a savings of 41,000 labor hours for the organization's workforce.
The Centers for Disease Control and Prevention (CDC) and the Department of Health and Human Services (DHHS) have taken significant strides in implementing artificial intelligence (AI) projects, with the CDC's 1CDC data platform being deemed crucial by Travis Hoppe, the CDC's acting AI chief.
The 1CDC data platform, an initiative aimed at unifying data and moving away from data silos, has been instrumental in this endeavour. The CDC was the first federal agency to make AI technology available for all of its workers in 2023, with the CDC also writing the first generative AI guidance and sharing it with other agency partners.
One of the successful AI use cases is TowerScout, a computer vision project that uses satellite imagery to detect potential Legionnaires disease outbreaks by identifying cooling towers. Another example is FluSight, a tool that analyses hospital data to inform decisions about potential flu outbreaks.
ChatGPT, a generative AI technology, has also been rolled out to all DHHS workers over a week ago, making the CDC the first federal agency to do so. The technology is estimated to have saved CDC's workers an estimated 41,000 hours.
Travis Hoppe has highlighted the importance of data for AI, emphasising the need for core work on data modernization and interoperability. He has also touted the success of the technology, with the CDC expected to report twice as many AI use cases in the upcoming annual public inventories compared to the previous year.
Notably, the DHHS has also made ChatGPT available to all of its workers. CDC's workers have logged 1.2 million chats with its existing generative AI offerings. The General Services Administration cut a deal for agencies to buy ChatGPT for $1, making it accessible to a wider range of federal employees.
However, no new information about the deal with the General Services Administration, the initial investment, savings in terms of time, or ROI, usage statistics, or cost was provided in these announcements. Hoppe reviewed the usage and ROI statistics when he became acting chief AI officer.
These developments mark a significant step forward in the integration of AI technology in public health services, with the potential to revolutionise disease detection, data analysis, and decision-making processes.
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