Antibiotic Resistance Microbiology Dataset (ARMD): A De-identified Resource for Studying Antimicrobial Resistance Using Electronic Health Records
Journal:
arXiv
Published Date:
Mar 8, 2025
Abstract
The Antibiotic Resistance Microbiology Dataset (ARMD) is a de-identified
resource derived from electronic health records (EHR) that facilitates research
into antimicrobial resistance (AMR). ARMD encompasses data from adult patients,
focusing on microbiological cultures, antibiotic susceptibilities, and
associated clinical and demographic features. Key attributes include organism
identification, susceptibility patterns for 55 antibiotics, implied
susceptibility rules, and de-identified patient information. This dataset
supports studies on antimicrobial stewardship, causal inference, and clinical
decision-making. ARMD is designed to be reusable and interoperable, promoting
collaboration and innovation in combating AMR. This paper describes the
dataset's acquisition, structure, and utility while detailing its
de-identification process.
