In general, the more data you enter into a risk model, the more accurate the risk calculation will be. On the other hand, the more data you ask users to enter, the less likely they will be to use the model for all the patients who need the calculation.
In an interview with dailyRx News, Kevin Hughes, MD, Co-Director of Avon Comprehensive Breast Evaluation Center at Massachusetts General Hospital, explained which women are typically recommended for genetic screenings. Screening may be recommended, said Dr. Hughes, if a woman has "a strong family history of breast cancer, multiple relatives with breast or ovarian cancer, a family member who had breast or ovarian cancer
CRA Health's software can interface with any EHR, radiology information system (RIS) or software program that is Health Level 7 (HL7) compliant.
Unfortunately, EHRs have very limited capabilities when it comes to genetics or risk assessment, so while CRA Health can push data into any EHR, most EHRs lack the functionality to receive that data in a useful or meaningful way.
From the American Society of Breast Surgeons, the Mastery of Breast Surgery Risk Module. Watch the video here.
There is increasing interest in breast density as a risk factor for breast cancer, in part generated by laws in over 18 states mandating that women be told their breast density when they have a mammogram. The obvious question for the patient and her doctors is, “Does this density increase the risk of breast cancer?” This is not an easy question to answer using just density in isolation.
There are a number of breast cancer risk models, each with their own set of strengths and weaknesses (Breast Cancer Risk Models: Which One Is Accurate?)Ideally, all risk models should be run on all individuals to be sure that the clinician has all the data needed to properly care for the patient. Unfortunately, this is a time consuming process, as each model often has its own unique interface, each requiring entry of the same or similar data over and over again.