Building on Routinely Collected Health Data for Precision Population Care in Inflammatory Bowel Disease.

Authors

Gemma Postill, Eric I Benchimol

Published in

Healthcare quarterly (Toronto, Ont.). Volume 29. Issue 2. Pages 6-9.

Abstract

The growing burden of multimorbidity among individuals with inflammatory bowel disease (IBD) presents a critical challenge for health systems, as it signals the need to shift from single-disease-focused care to integrated multimorbidity-focused care. Recent Canadian population-based research has demonstrated that multimorbidity in IBD follows distinct patterns and that these patterns can be leveraged using machine learning (ML) to predict premature mortality. This column draws on two recent studies evaluating populations with IBD - one identifying multimorbidity clustering among individuals with IBD and another applying ML to predict premature death from non-IBD chronic conditions - to explore how these findings can inform health system planning, clinical care and policy decision-making.

PMID:
42669634
Bibliographic data and abstract were imported from PubMed on 31 Aug 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.