Data Quality Concerns Surrounding the Use of Big DataTherefore, organizations need to adopt security strategies like routine security checks, encryption, and secure methods of verifying patient identities to keep data safe. That is why building a system that collects accurate, trustworthy data and provides a safe environment for its use is essential for advancing better healthcare in the future. According to Binariks, one of the main concerns in utilizing big data in healthcare is the inconsistency of data formats used by hospitals, clinics, and testing facilities. These differences can lead to gaps or errors in the data. When information is recorded in various formats, it becomes difficult to consolidate it into a single, comprehensive view, making it challenging to accurately assess a patient’s health condition. Moreover, when data includes errors or lacks essential information, it can affect the reliability of future analysis. That’s why maintaining accurate and consistent data collection is essential to fully leverage big data in healthcare. To maximize the advantages of big data in healthcare, safeguarding patient privacy is essential. It is crucial to find the right balance between leveraging data to enhance medical services and upholding strong privacy standards. In addition, storing large volumes of sensitive health information increases healthcare vulnerability to cyber threats. This article explored the use of big data in the healthcare sector. As we’ve seen, big data offers great potential for reducing costs, minimizing medical errors, and improving individual health outcomes. At the same time, challenges such as inconsistent data quality and privacy protection must be addressed. 7 Privacy and Security Concerns Conclusion
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