Human Data Science and Antibiotic Overprescribing
Human Data Science and Antibiotic Overprescribing
Data driven insights on antibiotic overuse
Case Study

Human Data Science informs policy decision-making to generate human-centric healthcare solutions. Healthcare policies and programs that mitigate overuse and overprescribing of antibiotics are essential to lower the risk of antibiotic resistant bacteria growing in the general population. 

Using Human Data Science, the CDC analyzed antibiotic use in an inpatient setting and modeled how reductions in antibiotic prescribing impact the incidence of C. difficile infections. These results influenced the uptake of antibiotic stewardship programs (ASPs) in hospitals in the United States leading to a reduction in antibiotic use.

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