Data science has the potential to revolutionize the management of patient health by identifying previously unknown patterns and hidden opportunities within healthcare data. However, for large-scale predictive analytics to be effective, it is essential to have a substantial amount of clean, high-quality data. Unfortunately, the healthcare industry has struggled with disorganized and fragmented data sources, poor data quality, and flawed methodologies. This has hindered the use of data science for healthcare decision-making, which has negatively impacted patient care.

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