Description
Clinical practice guidelines (CPGs) are distributed in a variety of formats, though rarely are they easily computer processable. This is problematic as there is a continued push for the creation of computer interpretable guidelines (CIGs), and efforts to automate this task require the input files to be in a standard, easily processable, form. Most guidelines contain textual information, formatted as a structured document with sections, headings, lists, and figures. Many guidelines also contain figures meant to illustrate portions of the diagnosis or care algorithm, often using graphs of some sort. We presentr a method using the Journal Article Tag Suite (JATS) and GraphML to represent guidelines in a standard form.
Learning Objective: A person attending this session should better understand the computational challenges associated with how clinical practice guidelines are currently formatted, along with a possible solution.
Authors:
Michal Patriak (Presenter)
SUNY Oswego
Daniel Schlegel, SUNY Oswego
Presentation Materials: