Common Data Elements in Head and Neck Radiology Reporting

Anandh G Rajamohan; Vishal Patel; Nasim Sheikh-Bahaei; Chia-Shang J Liu; John L Go; Paul E Kim; Wende Gibbs; Jay Acharya

doi:10.1016/j.nic.2020.05.002

Common Data Elements in Head and Neck Radiology Reporting

Neuroimaging Clin N Am. 2020 Aug;30(3):379-391. doi: 10.1016/j.nic.2020.05.002. Epub 2020 Jun 11.

Authors

Anandh G Rajamohan¹, Vishal Patel², Nasim Sheikh-Bahaei³, Chia-Shang J Liu³, John L Go³, Paul E Kim³, Wende Gibbs⁴, Jay Acharya³

Affiliations

¹ Department of Radiology, Division of Neuroradiology, University of Southern California, Keck School of Medicine, 1500 San Pablo Street, Second Floor, Los Angeles, CA 90033, USA. Electronic address: anandh.rajamohan@med.usc.edu.
² Department of Radiology, Division of Neuroradiology, University of Southern California, Keck School of Medicine, 1500 San Pablo Street, Second Floor, Los Angeles, CA 90033, USA; USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Keck School of Medicine, 2025 Zonal Avenue, Los Angeles, CA 90033, USA.
³ Department of Radiology, Division of Neuroradiology, University of Southern California, Keck School of Medicine, 1500 San Pablo Street, Second Floor, Los Angeles, CA 90033, USA.
⁴ Department of Radiology, Mayo Clinic School of Medicine, 18522 North 96th Way, Scottsdale, AZ 85255, USA.

PMID: 32600638
DOI: 10.1016/j.nic.2020.05.002

Abstract

Radiologists must convert the complex information in head and neck imaging into text reports that can be understood and used by clinicians, patients, and fellow radiologists for patient care, research, and quality initiatives. Common data elements in reporting, through use of defined questions with constrained answers and terminology, allow radiologists to incorporate best practice standards and improve communication of information regardless of individual reporting style. Use of common data elements for head and neck reporting has the potential to improve outcomes, reduce errors, and transition data consumption not only for humans but future machine learning systems.

Keywords: Artificial intelligence; Common data elements (CDEs); Informatics; Quality improvement; Standardization; Structured reporting; Value in radiology.

Publication types

Review

MeSH terms

Common Data Elements*
Head and Neck Neoplasms / diagnostic imaging*
Humans
Magnetic Resonance Imaging / methods*
Radiology Information Systems / standards*
Tomography, X-Ray Computed / methods*