Health Care Current library

This weekly series explores breaking news and developments in the US health care industry; examines key issues facing life sciences and health care companies; and provides updates and insights on policy, regulatory, and legislative changes.


Using data analytics to identify revenue at risk

Predictive and comparative analytics have the potential to drive improved value by pinpointing areas where proactive steps can better support optimal revenue cycle performance—as well as the organization’s mission.

Explore Content

The trend toward using predictive and comparative analytics to improve value in health care is on the rise, driven by advancements in technology, healthcare reform, regulatory mandates and the emergence of value-based payment models.

 Key factors for successfully using data analytics to improve revenue cycle performance include the following:

  • Senior leaders who engage physicians and work with business unit owners to gain groundlevel insights
  • Communication and learning
  • Embedded analytics
  • Transparency related to what the data show, how the data will be used, and what items have been brought to light via data analysis
  • Real-time monitoring of data
  • Incorporation of staff feedback in continually improving analytical modeling capabilities

More topics


ConvergeHEALTH by Deloitte

ConvergeHEALTH brings together analytics platforms and data models, enabling health care and life sciences organizations to answer the “hard questions.”


About the Deloitte Center for Health Solutions

About the Deloitte Center for Health Solutions: The source for health care insights.

Dbriefs Webcast

Health Sciences

Anticipating tomorrow's complex issues and new strategies is a challenge. Take the lead with Dbriefs—live webcasts that give you valuable insights on important developments affecting your business. Dbriefs offers live webcasts featuring practical knowledge from Deloitte specialists.