Developing an algorithm across integrated healthcare systems to identify a history of cancer using electronic medical records.

ABSTRACT:

Objective

Tumor registries in integrated healthcare systems (IHCS) have high precision for identifying incident cancer but often miss recently diagnosed cancers or those diagnosed outside of the IHCS. We developed an algorithm using the electronic medical record (EMR) to identify people with a history of cancer not captured in the tumor registry to identify adults, aged 40-65 years, with no history of cancer.

Materials and methods

The algorithm was developed at Kaiser Permanente Colorado, and then applied to 7 other IHCS. We included tumor registry data, diagnosis and procedure codes, chemotherapy files, oncology encounters, and revenue data to develop the algorithm. Each IHCS adapted the algorithm to their EMR data and calculated sensitivity and specificity to evaluate the

SUBMITTER: Gander JC 

PROVIDER: S-EPMC9196704 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature