How far back do we need to look to capture diagnoses in electronic health records? A retrospective observational study of hospital electronic health record data.

ABSTRACT:

Objectives

Analysis of routinely collected electronic health data is a key tool for long-term condition research and practice for hospitalised patients. This requires accurate and complete ascertainment of a broad range of diagnoses, something not always recorded on an admission document at a single point in time. This study aimed to ascertain how far back in time electronic hospital records need to be interrogated to capture long-term condition diagnoses.

Design

Retrospective observational study of routinely collected hospital electronic health record data.

Setting

Queen Elizabeth Hospital Birmingham (UK)-linked data held by the PIONEER acute care data hub.

Participants

Patients whose first recorded admission for chronic obstructive pulmonary disease (COPD) ex

SUBMITTER: Lewis J 

PROVIDER: S-EPMC10868273 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature