A New and Constantly Changing Era in Healthcare

Data is the engine by which healthcare organizations – including hospitals, health systems and healthcare plans – are staying ahead of major market disruptions and seeking next-generation innovations in health. From population management and accountable care models to telemedicine and wearable technologies, the organizations that can generate the most insights from their data assets will be most likely to deliver better outcomes for patients at lower costs.

Healthcare, NICU

However, even healthcare organizations committed to data-driven transformations may struggle to master the challenges associated with managing large data volumes and deploying analytics at scale and with the right user groups. The key questions to ask:

  • How can we personalize our communications with patients to strengthen engagement and influence healthy behavior?
  • What tools and data streams are necessary to create the right measurement capabilities for our population health initiatives?
  • Is there a data model that is suited to healthcare and that can provide clearer views of diverse data sets and provide a roadmap for integration?
  • How can we apply predictive analytics to enhance our preventive care programs and anticipate the onset of serious or chronic conditions?
  • Which financial and operational data are most useful for managing our risks and monitoring regulatory compliance?

Big Data in action for the Healthcare Industry

Healthcare leaders are embracing advanced analytics and comprehensive Big Data strategies in a range of high-impact initiatives: 

Patients of Healthcare

Healthy first step to Big Data Success

With ample opportunities to reduce costs and boost performance across large and complex enterprises, it’s worth asking where healthcare organizations should apply the power of Big Data and advanced analytics. The highest impacts returns often come from:   

  • Create the Right Big Data Strategy: effective strategies start with understanding how Big Data and advanced analytics can reduce costs, improve patient engagement or otherwise move the needle on key metrics.
  • Learn How Big Data Works: diverse data sets – from electronic health records and social media to financial records and claims data – must be integrated in well designed data and analytics ecosystem.
  • Find the Right People and Build the Strongest Teams: Big Data success is driven by collaboration and industry expertise, not just by tools and technologies – that’s why business and clinical teams must engage and collaborate to foster data-driven thinking.

The bottom line: in an era of constant change, forward-looking organizations need powerful tools like data and analytics to navigate the most pressing challenges and seize the most compelling opportunities.