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Standardizing Workflow, Patient Care, and Reimbursement for Radiology Second Opinions.

Akhil Dhamija¹, Matthew Crain², Mohammed Ismail²

¹Department of Radiology, The Ohio State University Medical Center, Columbus, USA. akhil.dhamija@osumc.edu.

Journal of Imaging Informatics in Medicine

|June 24, 2025

Summary

Standardizing radiology second opinions improves efficiency and patient care. The redesigned workflow enhanced user satisfaction and reimbursement rates, demonstrating significant operational improvements.

Keywords:

Billing Diagnostic Imaging Referral and Consultation Relative Value Unit Second Opinion Interpretation Standardization

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Area of Science:

Radiology
Healthcare Informatics
Medical Workflow Optimization

Background:

Second opinions in radiology are vital for diagnosis and patient management but often suffer from a lack of standardization.
This lack of standardization leads to inefficiencies and suboptimal financial reimbursement.

Purpose of the Study:

To redesign and evaluate a standardized second opinion workflow in radiology.
To assess the impact of the redesigned workflow on user-friendliness, timeliness, efficiency, and reimbursement.

Main Methods:

A second opinion workflow was redesigned utilizing existing Electronic Medical Record (EMR) tools.
Data collection included summary statistics, post-implementation surveys of ordering providers and radiologists, and reimbursement analysis (August 2021-October 2022).

Main Results:

The Abdomen division led second opinion exams (47%), with CT scans being the most common modality (64%).
User-friendliness ratings improved significantly (2 to 4.4, p<0.07), particularly for ordering providers (Cohen's d=2.00).
Radiologist-perceived workflow efficiency improved (2.7 to 4, p=0.036), and the new workflow achieved a 91.9% collection success rate.

Conclusions:

Standardizing the radiology second opinion process significantly enhances operational efficiency.
The redesigned workflow led to improved user satisfaction and increased reimbursement rates.
These improvements ultimately contribute to better patient care through more accurate and timely diagnoses.