Title: Definition of a metadata model for a multi-layered clinical practice guideline representation framework

Authors: Matthew Kim; Zachary Turechek; Aziz Boxwala; Tonya Hongsermeier; Michael Krall; Frank Sonnenberg; Adam Wright; Blackford Middleton; Saverio Maviglia

Addresses: Partners HealthCare System, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA ' Partners HealthCare System, Boston, Massachusetts, USA ' University of California, San Diego, USA ' Partners HealthCare System, Boston, Massachusetts, USA ' Kaiser Permanente Northwest, Portland, Oregon, USA ' UMDNJ Robert Wood Johnson, Medical School, New Brunswick, New Jersey, USA ' Partners HealthCare System, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA ' Partners HealthCare System, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA ' Partners HealthCare System, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA

Abstract: Representatives from a consortium of academic institutions, healthcare organisations, and commercial entities have collaborated to implement and evaluate a multi-layered representation framework targeted to promote the sharing and distribution of clinical practice guideline knowledge artefacts. Definition of a metadata model for knowledge artefacts submitted to a shared repository based on this framework proceeded through an iterative process that sought to strike a balance between the need to provide enough specification to allow for efficient indexing and retrieval and recognition of the potential burden imposed by excessive requirements.

Keywords: metadata modelling; clinical guidelines; multi-layered knowledge representation; knowledge sharing; knowledge artefacts.

DOI: 10.1504/IJFIPM.2012.050427

International Journal of Functional Informatics and Personalised Medicine, 2012 Vol.4 No.1, pp.47 - 55

Published online: 20 Nov 2012 *

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