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[Health record linkage: Andalusian health population database]. / Conexión de registros sanitarios: base poblacional de salud de Andalucía.
Muñoyerro-Muñiz, Dolores; Goicoechea-Salazar, Juan Antonio; García-León, Francisco Javier; Laguna-Téllez, Antonio; Larrocha-Mata, Daniel; Cardero-Rivas, Manuel.
Affiliation
  • Muñoyerro-Muñiz D; Subdirección Técnica Asesora de Gestión de la Información, Servicio Andaluz de Salud, Sevilla, España.
  • Goicoechea-Salazar JA; Subdirección Técnica Asesora de Gestión de la Información, Servicio Andaluz de Salud, Sevilla, España.
  • García-León FJ; Subdirección Técnica Asesora de Gestión de la Información, Servicio Andaluz de Salud, Sevilla, España. Electronic address: fjavier.garcia.leon@juntadeandalucia.es.
  • Laguna-Téllez A; Subdirección Técnica Asesora de Gestión de la Información, Servicio Andaluz de Salud, Sevilla, España.
  • Larrocha-Mata D; Subdirección Técnica Asesora de Gestión de la Información, Servicio Andaluz de Salud, Sevilla, España.
  • Cardero-Rivas M; Subdirección Técnica Asesora de Gestión de la Información, Servicio Andaluz de Salud, Sevilla, España.
Gac Sanit ; 34(2): 105-113, 2020.
Article in Es | MEDLINE | ID: mdl-31133300
ABSTRACT

OBJECTIVE:

To describe the development of an information system that connects data from multiple health records to improve assistance to patients, health services administration, management, evaluation, and inspection, as well as public health and research.

METHOD:

Deterministic connection of pseudonymized data from a population of 8.5 million inhabitants provided by a users database, DIRAYA electronic medical records, minimum basic data sets (inpatients, outpatient mayor surgery, hospital emergencies and medical day hospital), mental health information systems, analytical and image tests, vaccines, renal patients, and pharmacy. An automatic coder was used to code clinical diagnoses and 80 chronic pathologies were identified to follow-up. The architecture of the information system consisted of three layers data (Oracle Database 11g), applications (MicroStrategy BI) and presentation (MicroStrategy Web, JavaScript libraries, HTML 5 and CSS style sheets). Measures for the governance of the system were implemented.

RESULTS:

Data from 12.5 million health system users between 2001 and 2017 were gathered, including 435.5 million diagnoses, 88.7% of which were generated by the automatic coder. Data can be accessed through predefined reports or dynamic queries, both exportable to CSV files for processing outside the system. Expert analysts can directly access the databases and perform queries using SQL or directly treat the data with external tools.

CONCLUSION:

The work has shown that the connection of health records opens new possibilities for data analysis.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Registries / Databases, Factual / Electronic Health Records / Health Information Management Type of study: Prognostic_studies Limits: Humans Country/Region as subject: Europa Language: Es Journal: Gac Sanit Journal subject: SAUDE PUBLICA Year: 2020 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Registries / Databases, Factual / Electronic Health Records / Health Information Management Type of study: Prognostic_studies Limits: Humans Country/Region as subject: Europa Language: Es Journal: Gac Sanit Journal subject: SAUDE PUBLICA Year: 2020 Document type: Article