2021
DOI: 10.1016/j.heliyon.2021.e07179
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Big data and predictive analytics in healthcare in Bangladesh: regulatory challenges

Abstract: Big data analytics and artificial intelligence are revolutionizing the global healthcare industry. As the world accumulates unfathomable volumes of data and health technology grows more and more critical to the advancement of medicine, policymakers and regulators are faced with tough challenges around data security and data privacy. This paper reviews existing regulatory frameworks for artificial intelligence-based medical devices and health data privacy in Bangladesh. The study is legal research employing a c… Show more

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Cited by 41 publications
(26 citation statements)
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“…Big data is defined by three fundamental characteristics – big volume, high velocity, and a vast variety ( Furht and Villanustre, 2016 ; Hassan et al., 2021 ). In addition, it is “exhaustive in scope, scalable, flexible, relational in nature, indexical in identification, and has a high resolution” ( Kitchin, 2014 : pp.…”
Section: Resultsmentioning
confidence: 99%
“…Big data is defined by three fundamental characteristics – big volume, high velocity, and a vast variety ( Furht and Villanustre, 2016 ; Hassan et al., 2021 ). In addition, it is “exhaustive in scope, scalable, flexible, relational in nature, indexical in identification, and has a high resolution” ( Kitchin, 2014 : pp.…”
Section: Resultsmentioning
confidence: 99%
“…Privacy laws are missing Lack of legislation to efectively protect the privacy of patients or users [28] Big data healthcare policy issues Tis includes issues of the structure of the form of big data healthcare policy, the responsibility and power of policy subjects, and the lack of detailed policies [34] [29]…”
Section: Customer Growth Costs As Patient Data Grows Leading To Drama...mentioning
confidence: 99%
“…Hay muchas fuentes que generan grandes cantidades de datos en la práctica médica en los que se mencionan los registros médicos electrónicos, datos generados por equipos y sensores, imágenes médicas, notas médicas, informes de laboratorio, investigaciones biomédica, entre otros [18]. Algunos estudios en el que utilizan el análisis de Big Data están orientados a pronosticar los brotes de dengue basados en variables meteorológicas para apoyar la vigilancia epidemiológica [19].…”
Section: B Big Dataunclassified