Proven Best Practices to Improve Data Quality in Complex Healthcare Systems

In the era of big data, healthcare organizations are increasingly relying on analytics to improve patient care, reduce fraud, and optimize operations. However, the quality of these insights is only as good as the data they’re based on. Data quality and governance have become paramount in ensuring accurate, reliable, and actionable healthcare analytics. Drawing from his experience in both large corporations and smaller firms, Rokon highlights the challenges of data silos and the advantages of cohesive data management teams. He emphasizes the need for robust processes and tools, including the potential of AI, in maintaining data quality. This session provides valuable insights for healthcare organizations looking to harness the power of their data, improve patient care, reduce fraud, and optimize operations through effective data quality and governance practices.