The clinical decision support track investigates techniques for linking medical records to information relevant for patient care.
In making clinical decisions, physicians often seek out information about how to best care for their patients. Information relevant to a physician can be related to a variety of clinical tasks such as determining a patient's most likely diagnosis given a list of symptoms, deciding on the most effective treatment plan for a patient having a known condition, and determining if a particular test is indicated for a given situation. In some cases, physicians can find the information they seek in published biomedical literature. However, given the volume of the existing literature and the rapid pace at which new research is published, locating the most relevant and timely information for a particular clinical need can be a daunting and time-consuming task.
In order to make biomedical information more accessible and to meet the requirements for the meaningful use of electronic health records, a goal of clinical decision support systems is to anticipate the needs of physicians by linking medical cases with information relevant for patient care. The goal of the clinical decision support track is to simulate the requirements of such systems and encourage the creation of tools and resources necessary for their implementation.