Heuristic Evaluation of Digitized PGMI Assessment in Mammography Screening

Introduction: Mammography screening provides one of the best possible ways to improve image quality to optimally visualize the breast for diagnosis purposes. The current mammography screening using Perfect, Good, Moderate, Inadequate (PGMI) assessment is done manually on paper-imposed issues due to inability to reproduce and retrieve the data which are crucial for image quality management. Therefore, this study proposed to develop a digital PGMI assessment-based platform tool for assessment image quality in digital mammography images. Materials and Methods: The platform tool called MAMMOScreen and evaluated by three evaluators who have experienced in software development using heuristic evaluation by answering the heuristic questionnaire in a Google form to rate the severity of usability problems. Results: The results show that the severity rating scale of MAMMOScreen is 1 (cosmetic problem), which indicates that the repair problem was given a low priority. However, for the visibility of the system status, the repair of MAMMOScreen has a high priority. The redesign then takes into account the high priority problems and the recommendations of the evaluators. Conclusion: MAMMOScreen is the first platform tool for PGMI assessment that provides results based on user input and can document PGMI results to fully review previous information. The introduction of a digital evaluation using platform tools has the potential to provide efficient reproducibility and minimize potential errors.