gms | German Medical Science

G-I-N Conference 2012

Guidelines International Network

22.08 - 25.08.2012, Berlin

UFuRT Methodology Application for Knowledge Representation in Clinical Practice Guidelines

Meeting Abstract

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  • C.A. Garcia - National Cancer Institute, Bogota, Colombia
  • S. Diaz - National Cancer Institute, Bogota, Colombia
  • J.S. Castillo - National Cancer Institute, Bogota, Colombia
  • F. Sierra - National Cancer Institute, Bogota, Colombia

Guidelines International Network. G-I-N Conference 2012. Berlin, 22.-25.08.2012. Düsseldorf: German Medical Science GMS Publishing House; 2012. DocP147

DOI: 10.3205/12gin259, URN: urn:nbn:de:0183-12gin2598

Veröffentlicht: 10. Juli 2012

© 2012 Garcia et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielfältigt, verbreitet und öffentlich zugänglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Text

Background: The increasingly pervasive computing phenomena in healthcare impacts clinical practice guideline (CPG) implementation projects. Currently, institutions like NICE or SIGN are exploring handheld devices (HD) as platforms for CPG delivery. These HD are portable, can store many different CPG which can be easily updated, are easier to navigate, and provide better knowledge representation through multimedia. These features may improve CPG usage at patient's bedside. GuideVue software allows guideline development with multimedia support oriented to novice users.

Objective: To design an electronic version of the Colombian manual for early detection of breast cancer.

Methodology: Based on UFuRT (User, Function, Representation, Task analysis) methodology a CPG was designed and its impact was measured through a pilot study with 6 medical subjects using the System Usability Scale (SUS).The design of flowcharts with nodes representing basic units of information was performed taking into account the decision making processes of users, followed by a GuideVue representation.

Results: Two groups of users – novice and experts – were identified according to their medical expertise, and characterized based on the use, required time for information finding/localization, need for information disambiguation, support needed, and appropriate decision making representation. Three guidelines were designed: one for experts in PDF format based on the stages of medical attention and two GuideVue-based for novices. Pilot trials showed a SUS score of 82.9 (maximum of 100).

Discussion and Implications: Guideline design should be tailored according to the user's characteristics; in the case of novice users, inclusion of multimedia support proved to be beneficial.