xPert for Cancer Care™
All cancer treatment team members, including the surgeon, radiation oncologist, medical oncologist, and radiologist among others, provide input to determine all of the necessary data elements captured and reported for cancer cases. Checklists, similar in nature to those from the College of American Pathologists for xPert for Pathology™, are authored for each clinical specialty on the cancer treatment team.  Data elements from each of the reports are seamlessly shared in real time with other treatment team members. 

mTuitive is working with specialists in all of these areas to complete the necessary checklists.  Departments can begin using these applications independently or all together in order to speed and improve communication and data flow to the managing physician and cancer databases.  Using the mTuitive xPert Authoring Environment™, physicians can modify sets of checklists to fit the intricacies of their departments' needs and workflows.

Benefits

Data captured in each of the checklists are automatically coded and sent to the cancer registry.  This process goes beyond increasing efficiency and accuracy by automating the data collection process. The full product set provides the means to improve communication between treatment team members in a near real time manner to ensure the optimum patient treatment. Accuracy of data is preserved downstream all the way to the tumor registry simply because it is captured once at the point of diagnosis. 

The AJCC requirement presents an opportunity to transform the arcane process of data abstraction into a clinical tool for patient treatment - streamlining and improving the quality of data collected.  The basic premise is that the most accurate, efficient and valuable place to collect data is at the point where the decision is made.  Not only is it more accurate and beneficial for statistical research purposes, but structured synoptic reports are made available to treatment providers and cancer registry systems on a nearly real time basis.

The elimination of inefficiencies associated with transcription, data mining, abstracting and re-entry into cancer registry software provide an immediate ROI.