An algorithm to predict data completeness in oncology electronic medical records for comparative effectiveness research.

ABSTRACT:

Introduction

Electronic health record (EHR) discontinuity (missing out-of-network encounters) can lead to information bias. We sought to construct an algorithm that identifies high EHR-continuity among oncology patients.

Methods

Using a linked Medicare-EHR database and regression, we sought to 1) measure how often Medicare claims for outpatient encounters were substantiated by visits recorded in the EHR, and 2) predict continuity ratio, defined as the yearly proportion of outpatient encounters reported to Medicare that were captured by EHR data. The prediction model...s performance was evaluated with the coefficient of determination and Spearman...s correlation. We quantified variable misclassification by decile of continuity ratio using standardized difference and sensitivi

SUBMITTER: Merola D 

PROVIDER: S-EPMC9741728 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature