Featured Resources
Health Equity How Data Driven Insights are the Key
Health Equity How Data Driven Insights are the Key
Improving healthcare required a steadfast commitment, attention, and resources to ensure equity of access, infrastructure, and outcomes. Advancing health equity needs a multi-pronged approach involving technologies, data, analytics and AI.
Patient Risk Stratification to Predict, Prioritize and Prevent Risk
Patient Risk Stratification to Predict, Prioritize and Prevent Risk
The healthcare industry is undergoing a significant paradigm shift from a fee-based model to a Value-Based Care (VBC) model to encourage innovation, quality, and efficiency.In addition, hospitals and other healthcare environments are producing volumes of data beyond the current processing capabilities of existing legacy systems.
Turning Lemons To Lemonade: Advanced Claims Analytics With Big Data
Turning Lemons To Lemonade: Advanced Claims Analytics With Big Data
As payers face the challenges of increased competition and member satisfaction, the ability to execute highly effective claims management has become critical for success.
Improving Clinical Outcomes: Unleashing The Potential Of Healthcare Data Lake
Improving Clinical Outcomes: Unleashing The Potential Of Healthcare Data Lake
As the applications of data sources rises, healthcare organizations need a smarter method to collect, ingest and manage the data that arise.
Connected Health Science: Interoperability Meets Augmented Intelligence
Connected Health Science: Interoperability Meets Augmented Intelligence
Facilitating the exchange of intelligence should not be an afterthought or a layer to be added on top of existing systems. It is essential for healthcare organizations to leverage data analytics to enable care-gap analysis, patient risk identification, and track operational metrics to drive efficiencies.
Use Of Real-Time Analytics In Population Health
Use Of Real-Time Analytics In Population Health
Real-time analytics has the potential to provide a level of detail and precision for a population or a segment helping track the relationship between care event, health considerations and the outcomes amongst the segment.