Michael Berger

Michael Berger

Job Title: Head of Population Health Analytics

Company: Mount Sinai Health

Mike Berger recently joined Mount Sinai’s new population health initiative, Mount Sinai Health Partners as the head of analytics where he is helping to define the analytics strategy and build a high performing data science group using advanced analytics and predictive modeling to help find answers to keep our patients healthy and managed through a combination of at-risk and value-based contracts.  He has over twenty years of experience across a combination of healthcare provider/academic medical centers  and payer organizations as well as software ventures and management consulting in both the Big 6 and as an independent.  Mike also acts as the committee co-chair for the HIMSS Clinical & Business Intelligence community and is an active member of multiple healthcare data warehousing and infromatics associations.

Speaking at the following:

2.45pm - 3.30pm
Discussion Group 2C: Getting the building blocks right – Balancing Data Governance and Innovation

Assessing the integrity of your data – Understanding how to identify and address the most common causes of enterprise data quality problems and discussing strategies for data cleansing. Does the democratization of data defy governance? How to approach data governance in the new world of self-service analytics. Debating data ownership – how to ensure a consistent… Read more.

10.15am - 10.45am
Panel Discussion: Ethics and Liability – The moral dimension

In a world where data is exploding and regulation is struggling to keep up, just because it’s legal does it mean you should use/do it? What are the ethical considerations for using certain types of data? With so many means of collecting data, should we? And should data be collected even if there is no… Read more.

12.30pm - 1.00pm
Panel Discussion: Operationalizing analytics – Essential elements for a successful analytical environment

Examining the impact of where the analytics function sits within your organization, the challenges this poses and strategies for overcoming them. Examining organizational and technical infrastructure and what this means for integrating analytics within your business and analytical delivery. Breaking down data and departmental siloes to effectively manage risks and capitalize on opportunities.