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Assessing the readiness of Turkish health information systems for integrating genetic/genomic patient data: System architecture and available terminologies, legislative, and protection of personal data.
Sik, Ayhan Serkan; Aydinoglu, Arsev Umur; Aydin Son, Yesim.
Afiliación
  • Sik AS; Department of Medical Informatics, Middle East Technical University, METU Informatics Institute, Universiteler Mahallesi, Dumlupinar Bulvari, No:1, 06800, Ankara, Turkey; Department of Management Information Systems, Ankara Medipol University, Faculty of Economics, Administrative and Social Sciences, Haci Bayram Mahallesi, Talatpasa Bulvari, No:2, Ankara, Turkey. Electronic address: ayhan.serkan@gmail.com.
  • Aydinoglu AU; Department of Science and Technology Policy Studies, Middle East Technical University, Universiteler Mahallesi, Dumlupinar Bulvari, No:1, MM Building 3rd Floor No: 320, 06800, Ankara, Turkey. Electronic address: aaydinog@metu.edu.tr.
  • Aydin Son Y; Department of Medical Informatics, Middle East Technical University, METU Informatics Institute, Universiteler Mahallesi, Dumlupinar Bulvari, No:1, 06800, Ankara, Turkey. Electronic address: yesim@metu.edu.tr.
Health Policy ; 125(2): 203-212, 2021 02.
Article en En | MEDLINE | ID: mdl-33342546
ABSTRACT
Advances in genetic/genomic research and translational studies drive the progress on molecular diagnosis, personalised treatment, and monitoring. Healthcare professionals and governments are encouraged to set administrative regulations and implement structured and interoperable representation to utilise the genetic/genomic data, which will support precision medicine approaches through Health Information Systems (HIS). Clear regulations and careful legislation are also crucial for the security and privacy of genetic/genomic test data. In this article, we present a review of the National Health Information System of Turkey (NHIS-T) about interoperable health data representation for genetic tests. We discuss the content of rules and regulations related to genetic/genomic testing and structured data representation in Turkey. A brief comparison of the Turkish "Law on the Protection of Personal Data" (LPPD) in genetic/genomic data privacy with its counterparts is presented. The final discussion about the shortcomings of Turkey is transferable to health information systems worldwide. Constructing a national reference database and IT infrastructure to enable data integration and exchange between genomic data, metadata, and health records will improve genetics studies' utility and outcomes. The critical success factors behind integration are establishing broadly accepted terminologies and government guidance. The governments should set clear a transparent policy defining the legal and ethical framework, workforce training, clinical decision-support tools, public engagement, and education concurrently.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sistemas de Información en Salud Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Health Policy Asunto de la revista: PESQUISA EM SERVICOS DE SAUDE / SAUDE PUBLICA Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sistemas de Información en Salud Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Health Policy Asunto de la revista: PESQUISA EM SERVICOS DE SAUDE / SAUDE PUBLICA Año: 2021 Tipo del documento: Article