Automated Diabetes Case Identification Using Electronic Health Record Data at a Tertiary Care Facility.

ABSTRACT:

Objective

To develop and validate a phenotyping algorithm for the identification of patients with type 1 and type 2 diabetes mellitus (DM) preoperatively using routinely available clinical data from electronic health records.

Patients and methods

We used first-order logic rules (if-then-else rules) to imply the presence or absence of DM types 1 and 2. The "if" clause of each rule is a conjunction of logical and, or predicates that provides evidence toward or against the presence of DM. The rule includes International Classification of Diseases, Ninth Revision, Clinical Modification diagnostic codes, outpatient prescription information, laboratory values, and positive annotation of DM in patients' clinical notes. This study was conducted from March 2, 2015, thro

SUBMITTER: Upadhyaya SG 

PROVIDER: S-EPMC6135013 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature