Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/60775
Título: | Big data in healthcare: management, analysis and future prospects |
Autor(es): | Dash, Sabyasachi Shakyawar, Sushil K. Sharma, Mohit Kaushik, Sandeep |
Palavras-chave: | Healthcare Biomedical research Big data analytics Internet of things Personalized medicine Quantum computing Biomedical research Healthcare |
Data: | 19-Jun-2019 |
Editora: | Springer |
Revista: | Journal of Big Data |
Citação: | Dash, Sabyasachi; Shakyawar, Sushil K.; Sharma, Mohit; Kaushik, Sandeep, Big data in healthcare: management, analysis and future prospects. Journal of Big Data, 6(54), 2019 |
Resumo(s): | `Big data' is massive amounts of information that can work wonders. It has become a topic of special interest for the past two decades because of a great potential that is hidden in it. Various public and private sector industries generate, store, and analyze big data with an aim to improve the services they provide. In the healthcare industry, various sources for big data include hospital records, medical records of patients, results of medical examinations, and devices that are a part of internet of things. Biomedical research also generates a significant portion of big data relevant to public healthcare. This data requires proper management and analysis in order to derive meaningful information. Otherwise, seeking solution by analyzing big data quickly becomes comparable to finding a needle in the haystack. There are various challenges associated with each step of handling big data which can only be surpassed by using high-end computing solutions for big data analysis. That is why, to provide relevant solutions for improving public health, healthcare providers are required to be fully equipped with appropriate infrastructure to systematically generate and analyze big data. An efficient management, analysis, and interpretation of big data can change the game by opening new avenues for modern healthcare. That is exactly why various industries, including the healthcare industry, are taking vigorous steps to convert this potential into better services and financial advantages. With a strong integration of biomedical and healthcare data, modern healthcare organizations can possibly revolutionize the medical therapies and personalized medicine. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/60775 |
DOI: | 10.1186/s40537-019-0217-0 |
e-ISSN: | 2196-1115 |
Versão da editora: | https://journalofbigdata.springeropen.com/ |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_51785_1.pdf | 1,7 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons