title: QuickSilver clinical tracker - a risk-management approach.
abstract: While many guidelines strive to automate the high-granular clinical thought process, the resulting risk stratification is often a low-granular management class (i.e. low, medium or high risk). Furthermore, the "low hanging fruit" of guidelines is not in decision support, rather in the subsequent action tracking. Therefore, we believe that only a small amount of data is required to produce significant reminders. In our approach, the clinician risk-stratifies the patient and enters the guideline at the management level. We do not attempt to replicate the clinical thought process; rather we ask the question, "Now that you have decided, how can we help track your decisions?" A risk-management approach encapsulates salient guideline features and provides a framework for basic decision support and data tracking.
authors.affiliation: Laboratory of Computer Science, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
authors.forename: Daniel T
authors.initials: DT
authors.lastname: Rosenthal
authors.forename: Henry
authors.initials: H
authors.lastname: Chueh
mesh_terms: D020000:Decision Support Systems, Clinical; D006801:Humans; D016347:Medical Records Systems, Computerized; D017410:Practice Guidelines as Topic; D017010:Reminder Systems; D012307:Risk Factors; D012308:Risk Management