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Use of Web-Based Calculator for the Implementation of ACR TI-RADS Risk-Stratification System.

Yee Seng Ng1, Bilal Quadri2, Chris Baker3

  • 1Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA. yeeseng.ng@UTSouthwestern.edu.

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Summary

A new software tool helps radiologists implement thyroid nodule risk stratification using the American College of Radiology Thyroid Imaging, Reporting and Data System. This improves guideline adherence and recommendation congruence for better patient care.

Keywords:
ACR TI-RADSRisk-stratification systemsStructured reportingThyroid nodulesWeb calculator

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Area of Science:

  • Radiology
  • Medical Informatics
  • Health IT

Background:

  • Thyroid nodule risk stratification is crucial for patient management.
  • Implementing standardized reporting systems like the American College of Radiology Thyroid Imaging, Reporting and Data System (TI-RADS) can be challenging.
  • Integrating these systems with existing healthcare infrastructure requires careful technical consideration.

Purpose of the Study:

  • To demonstrate a software-based radiologist reporting tool for implementing TI-RADS.
  • To address technical details, including information security and patient privacy.
  • To assess the practical implementation and impact on guideline adherence.

Main Methods:

  • Development of a software tool for TI-RADS risk stratification.
  • Integration with electronic health records and dictation software.
  • Quality improvement project measuring guideline adherence and recommendation congruence pre- and post-implementation.

Main Results:

  • Successful demonstration of the software tool for TI-RADS implementation.
  • Positive assessment of practical implementation in a quality improvement project.
  • Quantifiable improvements in guideline adherence and recommendation congruence were observed.

Conclusions:

  • The developed software tool facilitates TI-RADS implementation.
  • The open-sourced code can aid future development of similar web-based calculators.
  • This approach enhances thyroid nodule risk stratification and clinical decision-making.