3 ways Mount Sinai plans to optimize analytics

Mount Sinai Health System has been working with electronic health records data for 15 years, and is now looking to take its technological capabilities to the next level by using analytics data more effectively, according to an article in Health Data Management.

The need to leverage analytics data is a growing priority, according to the article, in light of Mount Sinai's increasing participation in accountable care and population health initiatives. Thus, the New York-based health system has identified three pillars of its analytics strategy, according to Deepesh Chandra, director of centralized IT services for Mount Sinai:

  • Delivering insights to support population health and value-based payment models.
  • Fostering self-service to reduce the burden on the information technology department.
  • Scaling the analytics platform across the enterprise.

A more specific example of analytics at work is in claims denials, which the organization has identified as a $100 million opportunity, the article adds. Even without formal training, physicians have used analytics software to find common reasons for insurance denials, which could then be addressed at the organizational level. 

The support of physicians and hospital execs are vital to the success of data projects, according to Penn Medicine Chief Data Scientist Michael Draugelis. Moreover, experience with data systems and analytics are the two top skills C-suite level executives in healthcare need to have, a recent Black Book survey revealed. It was the first year that IT experience was rated higher than healthcare experience in the survey.

To learn more:
- read the article