For years, there has been research done to help advance medicine and aid in helping patients be diagnosed and treated in the most practical way. “Evidence Based Medicine” was a method created to help implement real life practice and research in decision making for clinical care.
Evidence Based Medicine aims to integrate the experience of the clinician, the value of the patient and their preferences, and the best available research at the time in providing patient care. In 2016, a study was done that proposed strategies to overcome challenges to the integration of Clinical Decision Support (CDS) in order to improve adoption rates, patient outcomes, and resource utilization. Some of the components that make up the foundation of Evidence Based Medicine that allow for success of CDS is quality of evidence and the evidence’s consistency with clinical perceptions. The quality of evidence of the CDS tool is a three-step process: derivation of the rule, creation of a mode, validation of the rule that is the model being tested, and the impact of the tool on clinical behavior.
Through the years, EBM became very popular when being used in integrating CDS. Studies were done that showed clinical practices that used EBM and created tools based on clinical effectiveness and ease of detecting, diagnosing, and treatment. This led to the creation of several calculators that can decrease physician burden when treating patients and allow for reduction of unnecessary costs while still maintaining quality care. For example, the creation of the Tuberculosis Clinical Prediction Rule helped assist in minimizing the isolation of patients without Tuberculosis. This help physicians decrease the amount of patients that wont be exposed to TB with using a tool readily available to them that has been validated and successful in use.
Through the use of evidence based medicine the Usability Lab was able to aid in the creation of calculators that simply help increase accuracy of patient assessments and allow for better patient care.