Film elimination, physician satisfaction still tops for radiologists choosing PACS

Article

PACS continues to proliferate in radiology departments across the globe. For many radiologists, the ability to reduce or eliminate film costs and to improve referring physician satisfaction remain its top selling points.When PACSweb polled readers on

PACS continues to proliferate in radiology departments across the globe. For many radiologists, the ability to reduce or eliminate film costs and to improve referring physician satisfaction remain its top selling points.

When PACSweb polled readers on this topic in a survey that closed last year, more than 27% of the 366 respondents choose film elimination as their primary reason for purchasing a PACS. Another 27% hoped that a PACS purchase would keep their referring physicians happy.

Three other areas evenly split up the rest of the vote:
? reducing storage space, costs, and the number of lost images
? increasing technologist productivity
? improving patient satisfaction

Revisiting the question this year, the survey found that 25% of the poll's 167 respondents valued lower film costs the most, and 20% valued improved referring physician satisfaction the most. The remaining votes were split evenly between reduced storage, fewer lost images, increased technologist productivity, and improved patient satisfaction.

In an era of continued economic uncertainty, the savings a PACS installation promises to bring to a radiology department's bottom line remains too good to pass up.

Recent Videos
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD
Can AI Assessment of Longitudinal MRI Scans Improve Prediction for Pediatric Glioma Recurrence?
A Closer Look at MRI-Guided Adaptive Radiotherapy for Monitoring and Treating Glioblastomas
Incorporating CT Colonography into Radiology Practice
What New Research Reveals About Computed Tomography and Radiation-Induced Cancer Risk
What New Interventional Radiology Research Reveals About Treatment for Breast Cancer Liver Metastases
New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection
Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
Employing AI in Detecting Subdural Hematomas on Head CTs: An Interview with Jeremy Heit, MD, PhD
Related Content
© 2025 MJH Life Sciences

All rights reserved.