|Computer Guided Training Modules|
|Module 1: Sensitivity Training I|
|• Normal nodularity
• Solid lesions
• Surface lesions
• Mid-depth lesions
• Chest wall lesions
• Movable and fixed lesions
|Module 2: Sensitivity Training II|
|• Examination pressures
• Examination pattern and perimeter
• Lesion detection within complex breast tissue
|Module 3: Specificity Training I|
|• Discriminating suspicious lesions from normal tissue
• Monitoring and eliminating false alarms (false detections)
|Module 4: Specificity Training II|
|• Detecting suspicious lesions (<5mm) in dense breast tissue
• Monitoring and eliminating false alarms (false detections) in dense breast tissue
Average time to complete: 2 hours (excluding breaks)
Getting practice on these models is MUCH more helpful than just learning about it! You never really know what “lumps” feel like until you get a chance to touch them.
– Vanderbilt student
Great module/way to learn! Definitely recommend to clinicians just starting out and those of all levels to enhance CBE skills.
– University of Vermont student
The sim training was very difficult, but I learned a great deal during the experience.
– University of Florida student
Love the testing program. It was super helpful in determining the difference between lumps and nodularities, as well as ensuring I was actually covering all of the breast tissue.
– Vanderbilt student
I feel that practicing with the sensors help to differentiate between normal and abnormal.
– Binghamton University student
The MammaCare CBE Simulator-Trainer is a self-administered, palpation training platform that produces and validates breast examination skill. The computer’s operating program is based on published quality-standard examination protocols.
The simulator-trainer advances clinical sensitivity and specificity via progressively more complex breast models. The hands-on examination programs teach basic palpation and advanced tactile discrimination skills. A digital “clinical instructor” guides the student through the training modules, assessing progress and providing corrective feedback.
Clinical Breast Examination Competency Network
Angelo State University
Case Western Reserve Univ.
Central Michigan University
FSU College of Medicine
Grand Valley State University
Beth Israel Deaconess Medical Center
James Madison University
Mercy Health Partners
Mount Carmel Health
Southeastern Louisiana Univ.
Southern Adventist University
Stony Brook University
SUNY Downstate Med. Center
Texas Tech University
University of Alaska
University of Cincinnati
University of New Mexico
University of Pittsburgh
Univ. of Pittsburgh at Bradford
Univ. of San Francisco
Univ. of South Florida Health Science Center
Univ. of Vermont
Univ. of Wisconsin – Milwaukee
Women Veterans Health Program
Western Kentucky University