Intelligent Healthcare Data Management using Blockchain: Current Limitation and Future Research Agenda
| Art der Publikation: | Artikel in einem Konferenzbericht |
| Zitat: | |
| Buchtitel: | Proceedings of the Fifth International Workshop on Data Management and Analytics for Medicine and Healthcare, worshop of the 45th International Conference on Very Large Data Bases (VLDB 2019) |
| Jahr: | 2019 |
| Monat: | August |
| Verlag: | Springer |
| URL: | https://link.springer.com/chap... |
| DOI: | https://doi.org/10.1007/978-3-030-33752-0_20 |
| Abriss: | Healthcare is undergoing a big data revolution, with vast amounts of information supplied from numerous sources, leading to major paradigm shifts including precision medicine and AI driven healthcare among others. Yet, there still exist significant barriers before such approaches could be adopted in practice, including data integration and interoperability, data sharing, security and privacy protection, scalability, policy, and regulations. Blockchain provides a unique opportunity to tackle major challenges in healthcare and biomedical research, such as enabling data sharing and integration for patient-centered care, data provenance allowing verification authenticity of the data, and optimization of some of the healthcare processes among others. Nevertheless, technological constraints of the current blockchain technologies necessitate further research before mass adoption of the blockchain-based healthcare data management is possible. We analyze context-based requirements and capabilities of the available technology and propose a research agenda and new approaches towards achieving intelligent healthcare-data management using blockchain. |
| Schlagworte: | blockchain, eHealth, Privacy, Security |
| Autoren | |
| Hinzugefügt von: | [] |
| Gesamtbewertung: | 0 |
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