Center for Health Insights Management (CHIM)
Making Health, Education and Research Smarter!
Data is the natural resource of our time. In the digital era, nearly every action leaves behind a digital footprint. Effective use of our data assets is vital to improving Jefferson’s health outcomes, financial success and the patient experience. The ability to define, measure, and track information is at the heart of delivering unparalleled value and will help us be a most trusted partner in health care.
In 2015, we launched a multi-year plan to establish Jefferson’s Center for Health Insights Management, which will transform data from a raw material into a strategic asset, delivering actionable insights to the right people at the right time and in the right context.
Analytics And Reporting Team Leverages Data To Seize Benefits Of 340B Drug Pricing Program07/14/16
The Analytics and Reporting Team recently helped pull and supply needed information for the 340B Drug Pricing Program. Their efficiency and effective "team player" approach earned them accolades from Jefferson’s vendor.Data
IS&T Kicks Off Data Governance Program05/02/16
In April, we launched a formal data governance process with input from a wide cross-section of the enterprise, including Clinical Operations, Research, Academic, Finance, Legal & Compliance and Corporate Strategy from the Center City and Abington campuses.Data
IS&T Teams Collaborate To Increase Allscripts IP Notification Compliance04/18/16
In an effort to increase notification compliance and track results, the Business Partnering and Enterprise Analytics teams worked closely together on this successful project.Data
Mouneer Odeh Joins Jefferson as Vice President, Enterprise Analytics and Chief Data Scientist04/13/15
Mouneer Odeh will be responsible for building our enterprise analytics capability toward the creation of a Center for Insights Management. He will build infrastructure, data trust, tools library and data governance to introduce new ways to combine, explore, mine and liberate data assets using a combination of trending analysis, statistical methods, machine learning and predictive models.Leadership Data