Towards improved information quality: The integration of body area network data within electronic health records

John O'Donoghue, John Herbert, Philip O'Reilly, David Sammon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An Electronic Health Record (EHR) is internationally recognised as the primary digital format to communicate and store patient clinical information. The vast majority of patient vital sign monitoring solutions provide limited if any opportunities to seamlessly integrate real-time patient vital sign readings e.g. ECG in a coherent or unified approach. In this paper, we highlight the data quality benefits of integrating remote patient monitoring solutions i.e. a Body Area Network (BAN) datasets within patient EHR solutions. The presented Data Management System-Tripartite Ontology Medical Reasoning Model (TOMRM) solution demonstrates how patient care may be improved through the reduction of false alarm generations.

Original languageEnglish
Title of host publicationAmbient Assistive Health and Wellness Management in the Heart of the City - 7th International Conference on Smart Homes and Health Telematics, ICOST 2009, Proceedings
Pages299-302
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event7th International Conference on Smart Homes and Health Telematics, ICOST 2009 - Tours, France
Duration: 1 Jul 20093 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5597 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Smart Homes and Health Telematics, ICOST 2009
Country/TerritoryFrance
CityTours
Period1/07/093/07/09

Keywords

  • Body Area Networks and Data Quality
  • Electronic Health Records

Fingerprint

Dive into the research topics of 'Towards improved information quality: The integration of body area network data within electronic health records'. Together they form a unique fingerprint.

Cite this