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Patients will not receive the proper care, if the supply of medical institutions is weakened or destroyed. In addition, hospitals’ financing will also become unstable, as well as other aspects of their operations, such as treatment and long-term care. Next area of exploration is in the realm of big data in healthcare which involves the value of analytics to keep the supply chain efficient and fluent from beginning to end.

By using analytics tools to track supply chain metrics and making data driven decisions, they can save the hospitals $10 million a year. Descriptive and Predictive Analytics methods may assist in both formulating pricing and curbing the range of possible variations in product, as well as optimizing the ordering procedures. By expanding in the long term, this way, institutions are able to handle numerous snags and glitches that could lead to long wait times or failure for the patient population, while still helping to ensure their survival.