Big Data Analytics and Processing Platform in Czech Republic Healthcare
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 Dat...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-03-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/10/5/1705 |
| _version_ | 1811210332729769984 |
|---|---|
| author | Martin Štufi Boris Bačić Leonid Stoimenov |
| author_facet | Martin Štufi Boris Bačić Leonid Stoimenov |
| author_sort | Martin Štufi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T04:52:40Z |
| format | Article |
| id | doaj.art-9f1b34da806b41468d82ddc05e6eec02 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-04-12T04:52:40Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-9f1b34da806b41468d82ddc05e6eec022022-12-22T03:47:14ZengMDPI AGApplied Sciences2076-34172020-03-01105170510.3390/app10051705app10051705Big Data Analytics and Processing Platform in Czech Republic HealthcareMartin Štufi0Boris Bačić1Leonid Stoimenov2Solutia, s.r.o., 101 00 Prague, Czech RepublicSchool of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New ZealandFaculty of Electronic Engineering, Computer Science Department, University Niš, 18 000 Niš, SerbiaBig 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.https://www.mdpi.com/2076-3417/10/5/1705tpc-hnosql database clusterverticareal-time epidemic mappingreal-time pandemic tracking and integrationoutbreak spread and risks data visualisation |
| spellingShingle | Martin Štufi Boris Bačić Leonid Stoimenov Big Data Analytics and Processing Platform in Czech Republic Healthcare Applied Sciences tpc-h nosql database cluster vertica real-time epidemic mapping real-time pandemic tracking and integration outbreak spread and risks data visualisation |
| title | Big Data Analytics and Processing Platform in Czech Republic Healthcare |
| title_full | Big Data Analytics and Processing Platform in Czech Republic Healthcare |
| title_fullStr | Big Data Analytics and Processing Platform in Czech Republic Healthcare |
| title_full_unstemmed | Big Data Analytics and Processing Platform in Czech Republic Healthcare |
| title_short | Big Data Analytics and Processing Platform in Czech Republic Healthcare |
| title_sort | big data analytics and processing platform in czech republic healthcare |
| topic | tpc-h nosql database cluster vertica real-time epidemic mapping real-time pandemic tracking and integration outbreak spread and risks data visualisation |
| url | https://www.mdpi.com/2076-3417/10/5/1705 |
| work_keys_str_mv | AT martinstufi bigdataanalyticsandprocessingplatforminczechrepublichealthcare AT borisbacic bigdataanalyticsandprocessingplatforminczechrepublichealthcare AT leonidstoimenov bigdataanalyticsandprocessingplatforminczechrepublichealthcare |