2010
Duarte, J.; Salazar, M.; Quintas, C.; Santos, M.; Neves, J.; Abelha, A.; Machado, J.
Data quality evaluation of electronic health records in the hospital admission process Proceedings Article
Em: pp. 201-206, Yamagata, 2010, ISBN: 9780769541471, (cited By 23; Conference of 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 ; Conference Date: 18 August 2010 Through 20 August 2010; Conference Code:82351).
Resumo | Links | BibTeX | Etiquetas: Candidate solution; Complex entities; Critical problems; Data quality; Electronic health record; Extended logic programming; Hospital admissions; Hospital settings; Interoperations; Logic programs; Quality of information; Virtual worlds, Health; Hospitals; Information science; Logic programming; Records management; Social networking (online); Virtual reality, Quality control
@inproceedings{Duarte2010201,
title = {Data quality evaluation of electronic health records in the hospital admission process},
author = {J. Duarte and M. Salazar and C. Quintas and M. Santos and J. Neves and A. Abelha and J. Machado},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-78649311213&doi=10.1109%2fICIS.2010.97&partnerID=40&md5=39a72e5691605095d85a94bfad5f005f},
doi = {10.1109/ICIS.2010.97},
isbn = {9780769541471},
year = {2010},
date = {2010-01-01},
journal = {Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010},
pages = {201-206},
address = {Yamagata},
abstract = {Data Quality Evaluation is a critical problem, specially in Healthcare, where people may take decisions based on confident, acceptable and secure information. In this paper we show how data quality can be evaluated from electronic health records, in particular in a hospital setting. We construct a dynamic virtual world of complex entities or agents, driven by one criterion alone, intelligence, for the provision of healthcare. This virtual world will witness the emergence and will be based on a versatile and powerful paradigm, where the candidate solutions (here understood as agents) are seen as evolutionary logic programs or theories, being the test if a solution is optimal based on a measure of the quality-of-information that stems from them. © 2010 IEEE.},
note = {cited By 23; Conference of 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 ; Conference Date: 18 August 2010 Through 20 August 2010; Conference Code:82351},
keywords = {Candidate solution; Complex entities; Critical problems; Data quality; Electronic health record; Extended logic programming; Hospital admissions; Hospital settings; Interoperations; Logic programs; Quality of information; Virtual worlds, Health; Hospitals; Information science; Logic programming; Records management; Social networking (online); Virtual reality, Quality control},
pubstate = {published},
tppubtype = {inproceedings}
}