I study how healthcare-associated infections and antimicrobial resistance can be prevented, using large claims, EHR, and surveillance datasets. With a pharmacy degree and an MPH in epidemiology, I design studies, link data sources, and program the analyses behind evidence that CDC and its partners act on.
Evaluating how well C. difficile surveillance cases link to Medicare claims across multiple states from 2016 to 2022, stratified by state, year, and epidemiologic onset class. The linked data are the foundation of a CDC Foundation-funded resource for HAI prevention and early detection.
Found that an inherited analysis had assigned survey records to the wrong calendar quarters, then rebuilt the pipeline in SAS: facility-day cleaning, harmonized survey instruments, validation checks, and GEE models relating IP activities to facility characteristics.
Reconciled EHR problem-list codes against testing and daily census data for 31,136 residents in 76 nursing homes. Positive predictive value was 92% for residents continuously present in the facility but 24% for those who were not.
Read the publication →HAI and antimicrobial resistance epidemiology, infectious disease surveillance, and case-based analysis, from frontline field work to federal research.
View →Feasibility, protocols, and SAPs for real-world studies across claims and EHR data, including healthcare resource utilization and cost outcomes.
View →Clinical trial programming (SDTM/ADaM, DSMB outputs) and observational modeling: survival analysis, GEE, propensity scores, and test-negative designs.
View →SQL, R, Python, and Spark pipelines on Databricks and Snowflake, record linkage at scale, and Truveta platform subject-matter expertise.
View →Scientific Data Analyst, Contractor
Chenega Professional Services, supporting CDC's Division of Healthcare Quality Promotion (DHQP), Epidemiology Research and Innovations Branch · Atlanta, GA · June 2022 to present
I design and deliver research on preventing healthcare-associated infections and antimicrobial resistance across acute and non-acute care settings. That work runs from feasibility checks on Truveta, PointClickCare, and MarketScan, through protocols and statistical analysis plans, to linking surveillance data with Medicare claims and programming the analyses in SAS and R: propensity scores, survival models, GEE, and test-negative designs.
I also manage the governance behind each study (IRB, data use agreements, CMS ResDAC) and am my team's Truveta subject-matter expert. I learned Truveta Studio and its Prose language within about three months of early access and have since trained more than five colleagues to work in it independently.
Full role detailPatel A, Payne AB, Currie DW, et al. J Am Med Dir Assoc. 2025;26:105440.
Hatfield K, Wiegand R, Reddy S, Patel A, et al. Vaccine. 2024;42:126112.
I started in pharmacy, testing antimicrobial drug-loaded wound dressings at the University of Tartu, and moved into public health from there: an MPH in epidemiology, Hepatitis C research at Tampa General Hospital, COVID-19 field epidemiology at the Florida Department of Health, vaccine trial data at Emory, and since 2022, HAI and antimicrobial resistance research in support of CDC.
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