Automatic detection of patient data inconsistencies on integrated Health Information Systems

• Type: Article in International Conference Proceedings Book
• Date: 2006

Authors

Cruz Correia, R (Author) FMUP; Vieira Marques, P (Author) FMUP; Ferreira, A (Author) FMUP; Oliveira Palhares, E (Author) Other; Costa, P (Author) Other; Araujo, F (Author) Other

Conference proceedings International

Title: ACTAS DA 1A CONFERENCIA IBERICA DE SISTEMAS E TECNOLOGIAS DE INFORMACAO, VOL I

Pages: 689-696

1st Iberian Conference on Information Systems and Technologies

Ofir, PORTUGAL, JUN 21-23, 2006

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 1 Citation

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-004-NS5

Abstract (EN): Currently there is a great interest in Health Information Systems (IS) integration. One of its main challenges is to gather parts of the medical record without jeopardising patient data quality. We aim to assess a method to detect patient data inconsistencies, namely with patient identification, on integrated systems. We have developed a Virtual Patient Record that integrates patient data from different Departmental IS (DIS) using multi-agent technologies. On reception of a clinical report, patient identification is cross-checked between systems. When errors occur, clinical reports aren't archived and a warning is sent to the DIS administrator. Patient identification errors have been found in all integrated DIS. In our opinion distributed systems may be better to assess and guarantee patient data quality through information cross-checking between systems. If proper checking methods are in place, the number of inconsistencies in integrated systems tends to decrease.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8