@inproceedings{5fd07a030ef444cbb7d144c9ee1dc520,
title = "Developing a Standards-Based Information Model for Representing Computable Diagnostic Criteria: A Feasibility Study of the NQF Quality Data Model",
abstract = "The lack of a standards-based information model has been recognized as a major barrier for representing computable diagnostic criteria. In this paper we describe our efforts in examining the feasibility of the Quality Data Model (QDM)-developed by the National Quality Forum (NQF)-for representing computable diagnostic criteria. We collected the diagnostic criteria for a number of diseases and disorders (n=12) from textbooks and profiled the data elements of the criteria using the QDM data elements. We identified a number of common patterns informed by the QDM. In conclusion, the common patterns informed by the QDM are useful and feasible in building a standards-based information model for computable diagnostic criteria.",
keywords = "Diagnostic Criteria, ICD-11 Content Model, ISO 11179 Model, Quality Data Model (QDM)",
author = "Guoqian Jiang and Solbrig, {Harold R.} and Jyotishman Pathak and Chute, {Christopher G.}",
note = "Publisher Copyright: {\textcopyright} 2015 IMIA and IOS Press.; 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 ; Conference date: 19-08-2015 Through 23-08-2015",
year = "2015",
doi = "10.3233/978-1-61499-564-7-1097",
language = "English (US)",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "1097",
editor = "Andrew Georgiou and Sarkar, {Indra Neil} and {de Azevedo Marques}, {Paulo Mazzoncini}",
booktitle = "MEDINFO 2015",
}