Automated generation of comparator patients in the electronic medical record.

ABSTRACT:

Background

Well-designed randomized trials provide high-quality clinical evidence but are not always feasible or ethical. In their absence, the electronic medical record (EMR) presents a platform to conduct comparative effectiveness research, central to the emerging academic learning health system (aLHS) model. A barrier to realizing this vision is the lack of a process to efficiently generate a reference comparison group for each patient.

Objective

To test a multi-step process for the selection of comparators in the EMR.

Materials and methods

We conducted a mixed-methods study within a large aLHS in North Carolina. We (1) created a list of 35 candidate variables; (2) surveyed 270 researchers to assess the importance of candidate variables; and (3) built consensus ran

SUBMITTER: Rigdon J 

PROVIDER: S-EPMC10797581 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature