BIG DATA & HEALTHCARE ANALYTICS: A HIMSS EVENT
BOSTON, Oct. 22-23, 2018
Sam is the Associate Dean of Graduate and Professional Studies, an Executive in Residence and the Program Director of the master’s in healthcare management at American University in Washington, DC. He is an industry visionary and has developed a unique approach of bringing key industry best practices that represent the future direction of where the entire healthcare industry is headed. He is a sought-after advisor, mentor and speaker, and has provided consulting services to various organizations in the governments, industry, startup and the non-for-profit fields.
Prior to his role at American University, he was a Professor in the field of Healthcare Management, Policy & Strategy and the Program Director of the Master of Science in Management of Healthcare Informatics and Analytics (MHIA) at The George Washington University’s School of Public Health. Sam held key leadership roles at PricewaterhouseCoopers (PwC). He was the leader of the Health Reform program office tasked with determining the consulting firm’s response to policy changes impacting the healthcare field and clients. He also led the firm’s New Venture Incubator where he was responsible for creating strategic integrated solutions that brought multi-competency skills, tools and technologies to clients. In that capacity, he was responsible for designing, developing and enabling over $500M in new revenue and partnerships. While he was leading these strategic initiatives, Sam continued to serve clients in order to apply his knowledge and to remain focused on their needs. He is recognized nationally for his expertise in Project and Program Management, Business Intelligence and Analytics, Business Continuity, Complex Clinical & Financial Systems Implementations, HIPAA, ARRA/ HITECH, Audit, Risks and Governance Consulting, and the Convergence of the business of healthcare with IT. Mr. Hanna excels as an Enterprise Architect and has a keen sense of emerging market trends and is able to effectively apply his expertise to his client’s needs. He has done extensive work in converging healthcare and financial services to optimize the value to the health consumer and has facilitated industry altering mergers and combinations.
Prior to PwC, he led the healthcare advisory practice for Deloitte in North and South Carolina where he successfully built and grew the practice to be the dominant professional services firm in that territory. Prior to that, he was the Manager of Internal Audit, as well as the Director of Strategic Business Continuity Services for Dana Farber Cancer Institute. In that role, he focused on mitigating the top risks to the organization and ensuring continuity of operations. He also was responsible for rolling out HIPAA across the organization and acted as the Chief HIPAA Security and Privacy Officer. Dana Farber is a Harvard Medical School Teaching Affiliate and a Harvard University Comprehensive Cancer Center in Boston.
Efforts are underway to develop an approach to precision medicine across research, clinical and academic settings, but a gap exists in forming a comprehensive model that is rigorous enough to enable the development of comprehensive approaches to harnessing data, yet flexible enough to allow for innovation and creativity.
This session, healthcare visionary Sam Hanna describes model that is flexible, rigorous and addresses the need for structure as healthcare undergoes massive changes and embrace precision medicine
The presentation will address:
There’s a ton of buzz around machine learning and artificial intelligence and the role they’ll play in revolutionizing and improving healthcare, but what are these evolving technologies, how are they different, and what are the multiple layers of use?
No complex health IT ever created has been plug-and-play. The same goes for ML and AI. To take full advantage of its potential, will require a lot of work.
In this morning leadership panel, our speakers look at the current state of machine learning and AI in healthcare and address where we are, where we are going, and what we need to do to get their faster.
What education do stakeholders need? What new vocabulary is required? How do you integrate ML and AI into operational and clinical processes? How do you show ROI?
Our speakers will address these questions and others head-on in a fascinating and insightful discussion that sets the stage for the speakers to follow.