Paper Info
Title
ccML, a new mark-up language to improve ISO/EN 13606-based electronic health record extracts practical edition.
Abstract
Objective The objective of this paper is to introduce a new language called ccML, designed to provide convenient pragmatic information to applications using the ISO/EN13606 reference model (RM), such as electronic health record (EHR) extracts editors. EHR extracts are presently built using the syntactic and semantic information provided in the RM and constrained by archetypes. The ccML extra information enables the automation of the medico-legal context information edition, which is over 70% of the total in an extract, without modifying the RM information. Materials and Methods ccML is defined using a W3C XML schema file. Valid ccML files complement the RM with additional pragmatics information. The ccML language grammar is defined using formal language theory as a single-type tree grammar. The new language is tested using an EHR extracts editor application as proof-of-concept system. Results Seven ccML PVCodes (predefined value codes) are introduced in this grammar to cope with different realistic EHR edition situations. These seven PVCodes have different interpretation strategies, from direct look up in the ccML file itself, to more complex searches in archetypes or system precomputation. Discussion The possibility to declare generic types in ccML gives rise to ambiguity during interpretation. The criterion used to overcome ambiguity is that specificity should prevail over generality. The opposite would make the individual specific element declarations useless. Conclusion A new mark-up language ccML is introduced that opens up the possibility of providing applications using the ISO/EN13606 RM with the necessary pragmatics information to be practical and realistic.
Year
DOI
Venue
2013
10.1136/amiajnl-2011-000722
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
Field
DocType
Volume
Data mining,Formal language,Pragmatics,Computer science,Grammar,XML schema,Natural language processing,Artificial intelligence,Constructed language,Ambiguity,Syntax,Markup language
Journal
20
Issue
ISSN
Citations 
2
1067-5027
2
PageRank 
References 
Authors
0.41
2
8
Name
Order
Citations
PageRank
Ricardo Sánchez-de-Madariaga140.77
Adolfo Munoz2703.74
Jesús Cáceres Tello331.19
Roberto Somolinos420.41
Mario Pascual541.45
Ignacio Martínez6333.55
Carlos Hernández Salvador771.74
Jose Luis Monteagudo8448.51