Healthcare Technology – Data Integration, Analytics and Outcomes

Join us in the Radisson Hotel and Convention Center in Camp Hill PA as we discuss the challenges and opportunities that the health industry is facing today as they come closer to providing proactive health care leading to improved population health outcomes.  We’ve come a long way but still have many miles to go.  Hear the answers to the questions you’re asking!  What kinds of data analytics are being done today?  How do you share it securely?  Can you really harmonize data from so many places?  What is the real value of collecting and sharing the data?

Agenda

8:00am – Registration and Breakfast

8:30am – Welcome

8:40am – Improving the Quality and Efficiency of Care Delivery – Dr. Tom Abendroth

9:00am – Data Management in a Research University Setting – Terri Shkuda, Systems Analyst|Research Informatics, Penn State University, College of Medicine

9:30am – The Patient Centered Medical Home – James V. Gigliotti, Provider Facing Analytics Health Plan Informatics, Highmark Inc.

10:00am – Break

10:15am – Applications for Real Time Analytics  – J. Peter Chingos, Sr. Industry Consultant, SAS Health & Life Sciences

10:45am –  Data Science Dev Ops – David Sanchez,  Geisinger Medical Center

11:15am – Panel Discussion

11:45am – Networking Lunch

Topics and Speakers

Improving the Quality and Efficiency of Care Delivery

With electronic health records, we capture transaction-level detail about key activities in healthcare delivery (medications prescribed, lab tests resulted, transfusions administered, etc.). Combining this with billing data (procedures undergone, diagnoses attributed), we can understand our own performance across patient populations and assess it against evidence-based guidelines. This offers tremendous potential to improve care, but real-world patient care data are loosely structured, incomplete, and sometimes inaccurate. This presentation will discuss using available data sources to improve the quality and efficiency of care delivery – challenges, successes, and failures.

Dr. Tom Abendroth

Dr. Abendroth has worked at the intersection of information technology and care delivery for thirty years – a career-long commitment to address the clinical information management needs that he observed as a third-year medical student and that remain today. He has served in many roles during his 25 years at Hershey Medical Center, including medical director, assistant dean, and chief information officer.

Data Management in a Research University Setting, Terri Shkuda, Systems Analyst|Research Informatics, Penn State University, College of Medicine

Terri Shkuda

Terri Shkuda has over 15 years of experience in technology and has earned a Bachelor of Science degree in Computer Science from Hofstra University. She is currently a Systems Analyst in Research Informatics at Penn State University focusing on research data storage systems. Her work in system validation has been recognized at an international consortium where she serves as mentor for other institutions. She is currently the lead administrator for the REDCap and i2b2 research data systems.

Ms. Shkuda’s primary interest is in research data in the area of secondary use, interoperability and standards.  In earlier years, she served as a software engineer for Unisys, designing systems for the US Air Force and US Navy.

The Patient Centered Medical Home, James V. Gigliotti, Provider Facing Analytics Health Plan Informatics, Highmark Inc.

The shifting healthcare environment continues to place more emphasis on various pay for value provider programs such as the Patient Centered Medical Home which incentivizes providers to more effectively manage their patient population. This presentation focuses on the role of analytics in its support of pay for value programs from both the provider and health plan perspective.

James V. Gigliotti

Jamey is the Director of Provider Facing Analytics in the Health Plan Informatics Organization at Highmark Inc., and is responsible for the development and deployment of the analytic infrastructure necessary to support various provider pay for value and quality incentive strategies. Throughout his 29 years in the health care industry, Jamey has experience in Provider Network Development, Care Management, Operations, Strategic Planning, Project Oversight, and Informatics.

Jamey is currently the Industry Advisory Board Chairman for the Center for Health Organization Transformation, an NSF sponsored Industry /University Collaborative Research Center. He holds a BS degree in Business Administration and Accounting from Shippensburg University. He has also achieved his designation as Certified Health Consultant from the Blue Cross Blue Shield Association.

Applications for Real Time Analytics – J. Peter Chingos, Sr. Industry Consultant, SAS Health & Life Sciences

Advances in event stream processing and low cost data storage (via Hadoop) bring advanced analytic capabilities to the point-of-care.    Now complex algorithms, data manipulations and risk models can be applied to streaming data from monitors, wearable devices and operational systems to trigger real-time actions and alerts to avoid adverse events.  The same technology that detects credit card fraud can be applied to health care to catch unusual patterns in real-time data to prevent complications and optimize care decision making.

Peter Chingos

Peter Chingos has over 25 years of experience in health care management, consulting and business analytics. Throughout his career, Peter has focused on large-scale, strategic initiatives to improve quality and efficiency in health care delivery.

Prior to working at SAS, Peter managed an analytic consulting group at Health Dialog focused on provider opportunities under payment reform. He also managed a business intelligence team at Maine Medical Center responsible for clinical quality measurement. Peter has implemented decision support/cost accounting systems in hospitals nationwide and started his career at Massachusetts General Hospital coordinating clinical operations and managing performance improvement teams.

Peter holds a BA from McGill University and an MBA in Health Care Management from Boston University.

Data Science DevOps

Healthcare is characterized by systemic challenges in the structure, integration, and use of its data, which are further complicated by the industry’s unique needs in terms of patient engagement, data security and authenticity, and the scale of analytical efforts necessary to draw meaningful insights from real patient data. In this talk, we will discuss some of the advantages enjoyed by Geisinger via its data science program. We will overview several essential business needs and how they are addressed by the integration of modern tools and techniques from other industries, as well as the technologies and methodologies employed by our developers in prototyping and productionalizing those workflows.

David Sachez

David Sanchez is a veteran software developer, specializing in systems integration and distributed computing. Since 2013, David has served as the Technical Lead for Geisinger Health System’s High-Performance Computing and Data Science teams, where he has been responsible for envisioning, designing, and implementing infrastructure related to clinical analytics and research computing. Before joining Geisinger, David designed scientific software for geophysical supercomputing. He earned his B.S. in applied mathematics from University of Minnesota, and took his graduate studies in the same from Boise State University.