Design A Model To Build A Computerized Guideline To Detect Breast Cancer

Medical guidelines are an important tool for improving health care quality. Studies have shownimplementation oncology guidelines improve clinical outcomes in patients overall survival and inpreventing cancer from returning. But overall adherence to guidelines in format of paper text isvery low. One way to change the presentation guideline s content is a variety of computer methodsfor representation of knowledge. The first step in computerization of paper guidelines is convertedthe knowledge of them to electronic format. Compliance of paper based guidelines on breast cancer,is close to 51 percent, while we know the computerized guidelines can reduce cost of medical errorsand can help doctors make better decisions by providing the right information at the point ofdecision-making and to provide specific reminders can improve patient care and patient safety. Inthis study we want design a model to detect breast cancer through computerized guideline. In thisstudy, we design a computerized model of breast cancer IBCRC guideline. In the first step we haveseveral meetings with clinicians (oncologist and Surgeon) to study guideline and identify ambiguityand reach agreement to solve them. In the next step we produce ontology of guideline to designOntology Based model, completely. After all, evaluation can done by the clinician via real scenariosof patients. In first phase of study, it is time consuming to collect participant and investigate a boutguideline. .e collect the opinion of participant, identify ambiguity and bottleneck of guideline.Then we build computerized model and the findings of evaluation was acceptable. Using ofcomputer guidelines could possibly reduce the costs associated with medical errors and increasethe quality of care for patients.