Key Drivers for Analytic Maturity in Healthcare
Next generation data visualization, business intelligence, and analytic applications leveraged on top of data warehouses, Big Data Technologies like Hadoop, and other No-SQL solutions are helping healthcare organizations to:
- Mine massive amounts of clinical research data, EMR data, diagnosis data, and others to cure terminal diseases in a fraction of the time than before.
- Develop tailored services by patient, reduce healthcare costs, and comply with the latest regulations
- Identify the causes to insurance fraud and prevent them from happening in real-time.
Unfortunately, not all organizations are getting the answers they seek nor realizing the benefits promised by these solutions. The International Institute for Analytics (IIA) looks into key dependencies on what drives success and value from new and existing analytic investments. Within the healthcare provider sector, IIA’s bench marking results point to a few important conclusions:
- The analytics and data maturity across healthcare lags other industries, but the opportunity to positively impact clinical and operational outcomes is significant.
- While the majority of hospitals rank data management and access of top importance, effectiveness lags significantly, particularly among analytically immature providers.
- In particular, most high performers excel in the way they capture, manage, store and utilize data (the D of DELTA).
How well these technologies perform and the tangible value gained is directly dependent on the maturity of how analytic applications are leveraged to transform the business by business people and how data is managed by IT professionals. Learn more about the Key Drivers of Analytical Maturity Among Healthcare Providers by downloading the IIS whitepaper here!