The pharmaceutical industry’s use of big data has significantly improved generic drug development, cutting down clinical trial cycles and enhancing data quality. By identifying potential side effects and effective treatments, the risk and cost of clinical trial failures are reduced. Moreover, large datasets help in discovering new drug targets and personalizing patient care. However, challenges persist, including data integration, quality assurance, and regulatory compliance. Despite these, the benefits of big data outweigh the limitations, making it an indispensable tool in the pharmaceutical industry.
Phased automation of medical records issuance at Samsung Medical Center
Samsung Medical Center in South Korea has automated medical record processes through its DARWIN system, enhancing patient experience and reducing wait times from 50 to
