Mammography Image Comparison Analysis – Improving Early Detection Of Breast Cancer. Mica is Automated Comparison alert platform of new and changed breast tissue. A decision support information Hub and Medical Record platform for the Breast Cancer prevention arena. Provides the user with a Personalized Journey app and access for his own mammograms.
Mica is Automated Comparison alert platform of new and changed breast tissue. A decision support information Hub and Medical Record platform for the Breast Cancer prevention arena. Provides the user with a Personalized Journey app and access for his own mammograms.
The challenge was to create a UI that could include a lot of information on one screen, highlighting the following:
– Creating a convenient interface in order to expedite the diagnosis process
– Unable quick and accessible navigation between users
– Provide access to patient information such as: medical record, diagnosis history and comparing diagnoses.
To map the project, we mapped out all relevant factors that will be involved in the system such as: the patient, the radiologist, the second radiologist who verifies the diagnoses, the back-office personnel, the senior physician, etc. During the second step, we created an experience path for each user and stops that each goes through to complete the process.
Pick a Target
Picking a target is a design sprint method that helps the team narrow down on a focus for the sprint. This exercise is all about finding the point in the customer journey that is most critical to get right. It’s where the highest risk of failure and biggest opportunity for success lies. The rest of the sprint flows from this decision.
Home screen, I have compiled all the important patient information so that the radiologist has a clear snapshot of each patient before treatment. In addition, I added a filter that filters patients by was diagnosed / wasn’t Diagnosed.
On the top right you can see two controls, “Radiologist” and “Mika Helper” are the diagnosis of the mammogram. In order to the differentiate between the two, the radiologist’s spot is in white circle and Mika’s is in a green square.
The radiologist will always know where the diagnostic information originates from, as soon as they hover over the text, they will see a zoom in on the proper area, while the rest of the images remains at a normal size.
Comparison screen – comparing previous years images of the same breast with the current year image located on the left. On this screen I created a red sign that indicates of new lumps that were not in previous screenings. Another sign I created on this screen indicates lump growth compared to previous years, including growth percentages below the diagnosis (in white).