Big Data Analytics and Processing Platform in Czech Republic Healthcare

• Published in: Applied sciences Vol. 10; no. 5; p. 1705
• Main Authors: Štufi, Martin, Bačić, Boris, Stoimenov, Leonid
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2020
• Subjects: Algorithms; Artificial intelligence; Big Data; Data analysis; Data exchange; Data mining; Data processing; Epidemics; Ethical standards; Health care; Health services; Influenza; Internet access; Knowledge discovery; Learning algorithms; Machine learning; nosql database cluster; Online transaction processing; outbreak spread and risks data visualisation; Pandemics; Patients; real-time epidemic mapping; real-time pandemic tracking and integration; Structured Query Language-SQL; tpc-h; Transaction processing; Trends; vertica; Czech Republic
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app10051705

Big data analytics (BDA) in healthcare has made a positive difference in the integration of Artificial Intelligence (AI) in advancements of analytical capabilities, while lowering the costs of medical care. The aim of this study is to improve the existing healthcare eSystem by implementing a Big Data Analytics (BDA) platform and to meet the requirements of the Czech Republic National Health Service (Tender-Id. VZ0036628, No. Z2017-035520). In addition to providing analytical capabilities on Linux platforms supporting current and near-future AI with machine-learning and data-mining algorithms, there is the need for ethical considerations mandating new ways to preserve privacy, all of which are preconditioned by the growing body of regulations and expectations. The presented BDA platform, has met all requirements (N > 100), including the healthcare industry-standard Transaction Processing Performance Council (TPC-H) decision support benchmark in compliance with the European Union (EU) and the Czech Republic legislations. Currently, the presented Proof of Concept (PoC) that has been upgraded to a production environment has unified isolated parts of Czech Republic healthcare over the past seven months. The reported PoC BDA platform, artefacts, and concepts are transferrable to healthcare systems in other countries interested in developing or upgrading their own national healthcare infrastructure in a cost-effective, secure, scalable and high-performance manner.