Big Data and Health Informatics: Managing Privacy, Accuracy, and Scalability

Abstract

Big data has become a revolutionary element in the field of health informatics, as they provide the ability to achieve new clinical decision-making, precision medicine, and population health management. In the scope of this review, privacy, data accuracy, scalability, interoperability, and ethical, legal, and social implications (Elsi) of making use of big data in the healthcare sector will be discussed as pivotal issues of concern. As health data sources become more varied and larger in volume, e.g. the use of wearable devices in addition to electronic health records, assuring the quality of health data, safeguarding patient privacy, and the ability to easily integrate data into the system, becomes more complicated. The article was also focusing on new technologies including cloud computing, artificial intelligence and block chain as these solutions are scalable and secure. Also, it suggests that regulatory frameworks and ethical standards are critical in order to control responsible use of data. Finally, this review demonstrates that interdisciplinary cooperation is needed to create an adaptable, just, and evidence-based infrastructural context of health informatics enabling innovation and preserving the trust of the people.