• AI
  • Molecular Imaging
  • CT
  • X-Ray
  • Ultrasound
  • MRI
  • Facility Management
  • Mammography

Critical imaging data fall through cracks in IT

Article

Referring clinicians failed to acknowledge over one-third of abnormal imaging results in an outpatient setting, even when a computerized system designed to alert them was used, according to Dr. Hardeep Singh and colleagues at Baylor College of Medicine.

Referring clinicians failed to acknowledge over one-third of abnormal imaging results in an outpatient setting, even when a computerized system designed to alert them was used, according to Dr. Hardeep Singh and colleagues at Baylor College of Medicine.

Researchers analyzed 1017 outcomes of abnormal imaging alerts in an ambulatory multispecialty clinic that were transmitted to providers via the electronic medical record. Over one-third of these cases were not acknowledged by the referring clinicians, while 4% of critical imaging results remained unnoticed for about a month (J Am Med Inform Assoc 2007;14[4]:459-466).

Recent Videos
Current and Emerging Insights on AI in Breast Imaging: An Interview with Mark Traill, Part 1
Addressing Cybersecurity Issues in Radiology
Computed Tomography Study Shows Emergence of Silicosis in Engineered Stone Countertop Workers
Can an Emerging AI Software for DBT Help Reduce Disparities in Breast Cancer Screening?
Skeletal Muscle Loss and Dementia: What Emerging MRI Research Reveals
Magnetoencephalopathy Study Suggests Link Between Concussions and Slower Aperiodic Activity in Adolescent Football Players
Radiology Study Finds Increasing Rates of Non-Physician Practitioner Image Interpretation in Office Settings
Assessing a Landmark Change in CMS Reimbursement for Diagnostic Radiopharmaceuticals
Addressing the Early Impact of National Breast Density Notification for Mammography Reports
2 KOLs are featured in this series.
Related Content
© 2024 MJH Life Sciences

All rights reserved.