Reviewing the integration of patient data: how systems are evolving in practice to meet patient needs

• Type: Article in International Scientific Journal
• Date: 2007

Authors

Cruz Correia, RJ (Author) FMUP; Vieira Marques, PM (Author) FMUP; Ferreira, AM (Author) FMUP; Almeida, FC (Author) Other; Wyatt, JC (Author) Other; Costa Pereira, AM (Author) FMUP

Journal

Title: BMC Medical Informatics and Decision Making

Vol. 7

Final page: 14

ISSN: 1472-6947

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 42 Citations

Scopus - 58 Citations

Pubmed / Medline

Other information

Authenticus ID: P-004-9CY

DOI: 10.1186/1471-6847-7-14

Abstract (EN): Background: The integration of Information Systems (IS) is essential to support shared care and to provide consistent care to individuals - patient- centred care. This paper identifies, appraises and summarises studies examining different approaches to integrate patient data from heterogeneous IS. Methods: The literature was systematically reviewed between 1995- 2005 to identify articles mentioning patient records, computers and data integration or sharing. Results: Of 3124 articles, 84 were included describing 56 distinct projects. Most of the projects were on a regional scale. Integration was most commonly accomplished by messaging with predefined templates and middleware solutions. HL7 was the most widely used messaging standard. Direct database access and web services were the most common communication methods. The user interface for most systems was a Web browser. Regarding the type of medical data shared, 77% of projects integrated diagnosis and problems, 67% medical images and 65% lab results. More recently significantly more IS are extending to primary care and integrating referral letters. Conclusion: It is clear that Information Systems are evolving to meet people's needs by implementing regional networks, allowing patient access and integration of ever more items of patient data. Many distinct technological solutions coexist to integrate patient data, using differing standards and data architectures which may difficult further interoperability.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11