Browsing by Subject "Population surveillance"

Now showing 1 - 3 of 3
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    An Evaluation of the Rates of Repeat Notifiable Disease Reporting and Patient Crossover Using a Health Information Exchange-based Automated Electronic Laboratory Reporting System
    (American Medical Informatics Association, 2012) Gichoya, Judy; Gamache, Roland E.; Vreeman, Daniel J.; Dixon, Brian E.; Finnell, John T.; Grannis, Shaun; Family Medicine, School of Medicine
    Patients move across healthcare organizations and utilize services with great frequency and variety. This fact impacts both health information technology policy and patient care. To understand the challenges faced when developing strategies for effective health information exchange, it is important to understand patterns of patient movement and utilization for many healthcare contexts, including managing public-health notifiable conditions. We studied over 10 years of public-health notifiable diseases using the nation's most comprehensive operational automatic electronic laboratory reporting system to characterize patient utilization patterns. Our cohort included 412,699 patients and 833,710 reportable cases. 11.3% of patients had multiple notifiable case reports, and 19.5% had notifiable disease data distributed across 2 or more institutions. This evidence adds to the growing body of evidence that patient data resides in many organizations and suggests that to fully realize the value of HIT in public health, cross-organizational data sharing must be meaningfully incentivized.
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    Supporting Health Equity Through Data-Driven Decision-Making: A Local Health Department Response to COVID-19
    (American Public Health Association, 2021) Hansotte, Elinor; Bowman, Elizabeth; Gibson, P. Joseph; Dixon, Brian E.; Madden, Virgil R.; Caine, Virginia A.; Epidemiology, Richard M. Fairbanks School of Public Health
    COVID-19 highlights preexisting inequities that affect health outcomes and access to care for Black and Brown Americans. The Marion County Public Health Department in Indiana sought to address inequities in COVID-19 testing by using surveillance data to place community testing sites in areas with the highest incidence of disease. Testing site demographic data indicated that targeted testing reached populations with the highest disease burden, suggesting that local health departments can effectively use surveillance data as a tool to address inequities.
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    Tomorrow's academic health sciences library today
    (Medical Library Association, 2012) McGowan, Julie J.; Ruth Lilly Medical Library, School of Medicine