Back to results

University of Missouri--Kansas City

Distributed querying of clinical documents modeled as HL7 version 3 standard

Abstract

dc:description.abstract

We present a software tool called Collaborative Data Network (CDN) for distributed querying of clinical documents modeled using HL7 v3 standard (e.g., Clinical Document Architecture). HL7 Version 3 standard was developed to enable semantic interoperability in healthcare data interchange. XML is used to encode the data. In this thesis, we focus on the design, implementation, and evaluation of three key components in CDN. The first component supports distributed XQuery processing in a peer-to-peer network once the publishers of relevant documents are known. The second component enables secure exchange of messages and data during query processing by applying wellknown cryptographic techniques. This is necessary for HIPAA compliance. Third component provides a user interface for posing clinical queries by clinicians and researchers. A comprehensive performance evaluation of CDN has been conducted on a local cluster using real-world clinical discharge summaries that were modeled using HL7 CDA standard.

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Computer Science (UMKC)
Grantor dc:publisher
University of Missouri--Kansas City
Year dc:date.issued
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Komaraswami, Tivakar
Advisor dc:contributor.advisor
  • Rao, Praveen R.

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10355/12570
OAI identifier oai:identifier
oai:mospace.umsystem.edu:10355/12570

Chain of custody

source
Harvested from
University of Missouri - Kansas City
Base URL
mospace.umsystem.edu/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Komaraswami, Tivakar. Distributed querying of clinical documents modeled as HL7 version 3 standard. Masters thesis, University of Missouri--Kansas City, 2012. http://hdl.handle.net/10355/12570