event-icon
Description

Allergy modules in most current electronic health records rely on commercial or local dictionaries whose adverse reaction lists are often incomplete, ambiguous, and static. This has resulted in many blank or free-text reaction entries, potentially leading to inefficient prevention of adverse reactions. To improve allergy documentation, we propose a novel, data-driven “dynamic” pick list created by sorting a comprehensive reaction value set according to the strength of association between the reactions and a given allergen.

Learning Objective: 1. Understand the issues of allergy entries in most current electronic health records.
2. Learn the approaches for generating dynamic reaction pick list for improving clinical documentation of patient allergies.

Authors:

Liqin Wang (Presenter)
Brigham and Women Hospital

Suzanne Blackley, Partners HealthCare
Carlos Ortega, Brigham and Women Hospital
Diane Seger, Partners HealthCare
Zfania Tom Korach, Brigham and Women Hospital
Kenneth Lai, Brandeis University
Foster Goss, University of Colorado School of Medicine
Paige Wickner, Brigham and Women Hospital
Kimberly Blumenthal, Harvard Medical School
Li Zhou, Brigham and Women Hospital

Presentation Materials:

Tags