Acceso usuarios
Laura Slaughter, Christopher Friis Berntsen, Linn Brandt, Chris Mavergames
In clinical medicine, secondary research that produces systematic reviews and clinical practice guidelines is key to sound decision-making and quality care. Having machine-readable primary study publications, namely the methods and results of published human clinical trials can greatly improve the process of summarizing and synthesizing knowledge in medicine. In this short introduction to the problem, we provide a brief review of the related literature on various efforts to produce semantic technologies for sharing and reusing content from clinical investigations (RCTs and other clinical primary studies). Using an illustrative case, we outline some of the necessary metadata that needs to be captured in order to achieve some initial automation in authorship of systematic reviews and clinical guidelines. In addition, we list desiderata that we believe are needed to reduce the time and costs of maintaining these documents. These include linking provenance information to a much longer scientific investigation lifecycle, one that incorporates a single study's role all the way through its use in clinical guideline recommendations for patient treatments.
