Big Data Analytics and Processing Platform in Czech Republic Healthcare

Martin Štufi,Boris Bačić,Leonid Stoimenov

doi:10.3390/app10051705

Martin Štufi, Boris Bačić + Show 1 more

Open Access

https://doi.org/10.3390/app10051705

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Abstract

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.

Highlights

Big data has influenced the ways we collect, manage, analyse, visualise, and utilise data.For healthcare, on adopting an eSystem with implemented big data analytics (BDA), there is an expectation that modern, robust, high-performance and cost-effective BDA technologies can preserve patient privacy, while enhancing data-driven support for medical staff, as well as the broader patient population
The presented solution, as a proof of concept (PoC) was implemented and transferred to the Institute of Health Information and Statistics (IHIS) committee, which is integrated with the Ministry of Social and Labour Security, Ministry of Defence, Ministry of Internal Affairs, Ministry of Health Insurance and Eurostat (Statistical Office of the European Union)
The Vertica Analytic Database enables the principle of C-Store project [52], which is widely used as a commercial relational database system for business-critical systems

Summary

Introduction

On adopting an eSystem with implemented big data analytics (BDA), there is an expectation that modern, robust, high-performance and cost-effective BDA technologies can preserve patient privacy, while enhancing data-driven support for medical staff, as well as the broader patient population. The Czech Republic is in the process of adopting and incrementally upgrading their healthcare eSystem, leveraging BDA to enhance the quality of care with integrated national and regional support. The scope of this paper is to report on the prerequisite factors, and tests influencing the implementation of the BDA platform with the performance required to support the national strategy for BDA adoption in the Czech Republic healthcare system. The reported healthcare solution had to pass more than 100 complex requirements (N = 119, including 13 bonus features), pre-requisites, and system conditions that were tested on the proposed platform, in compliance with European Union.

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