Bigger wins!

Strengthen the business impact

delivered by predictive analytics


Speakers

 Katrina Adams, PhD

Katrina Adams, PhD

Predictive Analytics Practice Lead

LPA Software Solutions

Katrina is a co-founder of LPA Software Solutions, and serves as both Vice President of Operations and the Predictive Analytics Practice Lead. She is responsible for executing strategic initiatives and providing oversight of all delivery operations. In addition, Katrina is leading the Predictive Analytics Practice at LPA by increasing the competency of the organization as well as defining strategic business development opportunities within the predictive analytics space. Katrina graduated from Queen's University in Belfast, Northern Ireland, with B.Sc. in Applied Mathematics & Statistics and a Ph.D. in Applied Mathematics.

Session: Tackling Parkinson's via Predictive Analytics

 Daniel Bailey

Daniel Bailey

Director of Commercial Analytics

Elder Research

Daniel has been helping organizations navigate the complexities of creating actionable insights from their data for more than 10 years. At Elder Research, Daniel is responsible for leading the Commercial Analytics group. He leads highly specialized teams in the building and assessment of analytical models, having worked across a wide-range of industries including insurance, oil and gas, and manufacturing. Examples of Daniel's successes include creating custom scoring algorithms to identify outliers and rare business events, providing model validation audits, and developing ensemble models that help reduce operational downtime and associated losses.

Daniel earned a BS degree in Applied Mathematics and Master's Degree in Advanced Analytics from North Carolina State University. Prior to joining ERI, he owned a project and logistics management consulting firm and served as a Captain in the US Army in numerous leadership and intelligence roles. He is an expert data scientist, comfortable with diverse data sources in diverse industries.

Session: Fraud Risk Scoring Combining Cost and Quality Models

 Jay Bhatt

Jay Bhatt

Chief Health Officer

Illinois Hospital Association

Jay Bhatt serves as the first Chief Health Officer at the Illinois Hospital Association. In this role he helps the 200 hospitals and 50 health systems transform, achieve the triple aim, and be positioned to succeed in this era of reform. Most recently, he was Managing Deputy Commissioner and Chief Innovation Officer for the Chicago Department of Public Health (CDPH). There he lead the implementation of innovations in cross-sector partnerships, predictive analytics, chronic disease and informatics earning numerous national recognition. He also is a practicing internal medicine physician for Erie Family Health Center in Chicago serving vulnerable populations and is a member of the Feinberg School of Medicine at Northwestern faculty.

In 2006-07 he served as the National President of the American Medical Student Association (AMSA) where he led advocacy efforts around the National Health Service Corps. Dr. Bhatt led the development of the AMSA PharmFree Scorecard in 2007 helping change the culture of conflict of interest in academic medical centers.

He graduated from the University of Chicago in 1999 with a degree in Economics. In 2008, Dr. Bhatt received both his medical degree from the PCOM, and his Master in Public Health degree from the University of Illinois at Chicago School of Public Health. In 2012 he received his Masters in Public Administration from the Harvard Kennedy School of Government as a Zuckerman Leadership Fellow and Mongan Commonwealth Fund/Harvard Minority Health Policy Fellow.

KEYNOTE: Predictive Analytics: A Unicorn for Health Transformation?

 Ken Briggs, JD

Ken Briggs, JD

Health Care Attorney

Polsinelli

Ken Briggs advises clients on patient privacy and data security requirements, including Big Data Initiatives. Ken helps clients achieve compliance with patient privacy and security obligations arising under federal and state privacy laws. His experience includes:

-Tailoring privacy and security policies for entities throughout the health care industry
-Structuring arrangements involving patient information, including health information exchanges and data use agreements
-Advising clients on routine patient privacy compliance obligations and training initiatives
-Handling complex breach investigation and reporting obligations
-Navigating governmental inquiries and investigations

Ken is dedicated to finding the most direct and proactive way to solve a problem that furthers the client’s mission and facilitates continued compliance with health care regulations.

Session: Addressing Legal Barriers to Data Usage

 Lewis Broome

Lewis Broome

Principal Consultant, Data Services Practice Lead

!mpact Makers

An innovative and practiced thought-leader in data management, Lewis Broome has more than 20 years of experience successfully leading the design and implementation of data management and information technology solutions. Lewis has hands-on experience as a developer, a business analyst, an architect and IT portfolio manager. As an executive in the global financial industry, Lewis led development teams in building globally integrated data solutions for Deutsche Bank and Morgan Stanley. In these roles, he has focused on data management as the foundational component to truly sustain analytical solutions. Until recently, Lewis was the CEO for a small but nationally recognized boutique data management consulting firm. In this role, Lewis delivered for clients a comprehensive approach for developing the foundational data management practices needed to enable a truly valuable and effective analytics capability. This approach is centered on clearly understanding and articulating the business needs. Currently, Lewis is a principal consultant and the Data Services practice lead at Impact Makers, a consulting firm based in Richmond Virginia.

Session: Utilizing a Data Strategy to drive the Analytics Program at Massey Cancer Center

 Brian  Cassel, PhD

Brian Cassel, PhD

Assistant Professor, Hematology/Oncology & Palliative Care, Associate Director, Cancer Informatics Core

Massey Cancer Center

J. Brian Cassel is Assistant Professor in the division of Hematology/Oncology and Palliative Care, and Associate Director of the Cancer Informatics Core at Massey Cancer Center, Virginia Commonwealth University in Richmond, VA. His research interests include cancer informatics, and health services research on specialist palliative care services in the US and the UK, specifically the costs and financing of cancer care and palliative care. As a faculty member of Palliative Care Leadership Center he has helped to train more than 150 palliative care teams from all over the US. In 2012 he was a Fulbright Scholar at the Cicely Saunders Institute at King’s College London, UK.

Session: Utilizing a Data Strategy to drive the Analytics Program at Massey Cancer Center

 Daniel Chertok, PhD

Daniel Chertok, PhD

Sr. Data Scientist

NorthShore University HealthSystem

Daniel Chertok, Ph.D., is a Sr. Data Scientist at NorthShore University HealthSystem. He is responsible for developing predictive models for population health management, operational cost containment and staffing optimization. Additionally, Daniel provides thought leadership on best analytical practices and has authored an internal standard operating procedures manual implemented by the Clinical Analytics team. His previous experience includes work in quantitative finance. Daniel holds a Ph.D. in Applied Mathematics from Simon Fraser University in Canada and an Eng. Math in Applied Mathematics from Peter the Great St. Petersburg Polytechnic University.

Session: Predictive Analytics Applications to Populations Health Management and Staffing Optimization

 Jeff Deal

Jeff Deal

Vice President of Operations

Elder Research

Jeff Deal is the Vice President of Operations for Elder Research, the nation's leading data mining and predictive analytics consultancy. In his role, Jeff oversees contracting, finances, logistics, planning, and regulatory/legal issues. In his six years at Elder Research, the company has added a second office in Arlington, Virginia, and has tripled in size. Jeff has worked with dozens of clients to understand their business needs and organizational goals and, in the process, has gained insight into organizational obstacles to successful data mining engagements. His talk on the Top 10 Data Mining Business Mistakes has been well received at prior Predictive Analytics World conferences. As VP of Operations, Jeff has managed engagements with many health care related companies from around the United States.

Jeff has more than 25 years of experience in business operations, planning, and government relations, primarily in the health care industry. Prior to ERI, he was the president of a health planning consulting business that assisted hospitals and physicians with operational analysis, forecasting, and navigating through complex regulatory processes. Before that, Jeff spent 16 years in hospital administration with responsibility for clinical, support, and planning functions. Jeff has a Master of Health Administration degree from Virginia Commonwealth University and an undergraduate degree from the College of William and Mary where he was a member of the wrestling team.

Conference Chair Welcome

 Michael Dulin

Michael Dulin

Chief Clinical Officer for Analytics and Outcomes Research

Carolinas Healthcare System

I currently serve as the Chief Clinical Officer for Analytics and Outcomes Research as well as the Medical Director of Research at Carolinas HealthCare Systems (CHS, one of the largest non-profit health systems in the US). I completed my BS in Electrical and Biomedical Engineering and worked briefly as a quality engineer for Advanced Micro Devices. I subsequently completed a PhD in Neurophysiology studying the basic mechanisms of learning and memory. I then received my MD and completed residency training in Family Medicine. I have undergone additional training in health services research and comparative effectiveness research methods through a Robert Wood Johnson Foundation Career Development Award as well as fellowship training at UNC-Chapel Hill. I founded and direct the one of the largest primary care research networks in the region – the Mecklenburg Area Partnership for Primary Care Research (MAPPR). I served as the Chair of the Department of Family Medicine at CHS where I implemented a large scale medical home implementation using Lean process enhancement methods resulting in NCQA level 3 recognition. Most recently, I have overseen the deployment of a centralized analytics team for Carolinas HealthCare System that now includes over 120 statisticians, data scientists, research nurses, and health services researchers. My research interests include: enhancing primary care access and quality for vulnerable populations; community-based participatory research (CBPR); comparative effectiveness research/implementation science; geographic information systems (GIS); preventative medicine; and chronic disease management.

Keynote: Turning Big Data into Better Care

Dr. John Elder

Dr. John Elder

Founder & Chair

Elder Research

@johnelder4

John Elder chairs America's most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina and Washington DC. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia, and was named by President Bush to serve 5 years on a panel to guide technology for national security.

Special Penary Session: Top Five Technical Tricks to Try when Trapped
Workshop: The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes

 Deborah Estrin

Deborah Estrin

Professor, Computer Science; Professor, Healthcare Policy; Co-Founder

Cornell Tech, Weill Cornell Medical College, Jacobs Technion-Cornell Institute, Open mHealth

Deborah Estrin is a Professor of Computer Science at Cornell Tech in New York City and a Professor of Public Health at Weill Cornell Medical College. She is founder of the Health Tech Hub and directs the Small Data Lab at Cornell Tech. Estrin is also co-founder of the non-profit startup, Open mHealth. Her current focus is on mobile health and small data, leveraging the pervasiveness of mobile devices and digital interactions for health and life management (TEDMED).

Previously, Estrin was on the UCLA faculty where she was the Founding Director of the NSF Center for Embedded Networked Sensing (CENS), pioneering the development of mobile and wireless systems to collect and analyze real time data about the physical world. Her honors include: ACM Athena Lecture (2006), Anita Borg Institute's Women of Vision Award for Innovation (2007), The American Academy of Arts and Sciences (2007), and The National Academy of Engineering (2009).

Keynote: Small Data, Big Impact: Using Small Data to Fuel, Personalize, Sustain and Study Health Behavior

 Chris Franciskovich

Chris Franciskovich

Senior Data Scientist

OSF Healthcare System

Chris is currently the Senior Data Scientist at OSF HealthCare, where he utilizes machine learning, statistical, natural language processing, and data mining methods to internally construct and deploy industry leading predictive models in a variety of strategic areas. He has more than 10 years of experience working in healthcare and holds a MS in Predictive Analytics from Northwestern University, where he focused on advanced modeling techniques and predictive text mining.

Session: Preventing Readmissions and Reducing Costs with Predictive Analytics

 Nish Hartman

Nish Hartman

Global Director of Healthcare

Predixion Software

Nish Hartman, Global Director of Healthcare at Predixion Software, is an experienced leader at building and executing strategies for innovative healthcare solutions. Nish gained much of her hands on leadership experience early in her career when she was responsible for developing, deploying and managing a global account organization for Fortune 500 clients. Prior to joining Predixion, she held leadership positions at Microsoft, Sun Microsystems and Oracle.

Nish has been an active participant in professional and community focused organizations including The American College of Healthcare Executives, a former Board Member of North Carolina HiMMS and Fellow for the Batten Leadership Institute. As a student of the complete healthcare system Nish understands the challenges of Healthcare information management and is focused on applying the latest information technology treatments to promote wellness.

Gold Sponsor Presentation: Enabling a Data-Driven Culture in Healthcare with Predictive Analytics

 Thomas Hill, Ph.D.

Thomas Hill, Ph.D.

Executive Director Analytics

Dell Software Group

Dr. Thomas Hill is Executive Director for Analytics at Dell Software Group. He joined Dell through the acquisition of StatSoft Inc. in April 2014, where he had been Senior Vice President for Analytic Solutions for over 20 years and was responsible for building out Statistica into a leading analytics platform. Dr. Hill received his Vordiplom in psychology from Kiel University in Germany and earned an M.S. in industrial psychology and a Ph.D. in psychology and quantitative methods from the University of Kansas. He was on the faculty of the University of Tulsa from 1984 to 2009, where he conducted research in cognitive science and taught data analysis and data mining courses. He has received numerous academic grants and awards from the US National Science Foundation, the National Institute of Health, the Center for Innovation Management, and other institutions. Over the past 20 years, his team has completed diverse consulting projects with companies from practically all industries and has worked with leading financial services, insurance, retailing, manufacturing, pharmaceutical, healthcare, and other companies in the United States and internationally on identifying and refining effective predictive modeling solutions for a broad scope of applications. Dr. Hill has published widely on innovative applications for data mining and predictive analytics and is also the author (with Paul Lewicki, 2005) of "Statistics: Methods and Applications," the "Electronic Statistics Textbook" (a popular on-line resource on statistics and data mining), and a co-author of "Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications" (2012) and "Practical Predictive Analytics and Decisioning Systems for Medicine" (Elsevier/Academic Press, 2014). Hill is also a contributing author to the popular "Handbook of Statistical Analysis and Data Mining Applications (2009)."

Diamond Sponsor Presentation: How to Make Predictive Modeling Successful for Better Healthcare

 Scott Jelinsky

Scott Jelinsky

Principal Research Scientist

Pfizer, Inc

Scott Jelinsky is a Senior Principle Scientist at Pfizer. He has a background in genomics and genetics and has worked the pharmaceutical industry for the past 15 years. He is interested in using big data and genetics to developed personalized medicine approaches. Over the past few years he has been exploring open innovation and crowdsourcing as an alternative solution to solve difficult analytic problems.

Session: Crowdsourcing Predictive Analytics to Enhance Clinical Trial Design

 Hsing Min Sha

Hsing Min Sha

Director of Business Analytics

DentaQuest

Sha Hsing Min built analytics teams and modeling infrastructure at Upromise, Monster Worldwide, Santander USA and other organizations and now leads the analytics team at DentaQuest, a dental health insurer covering 23 million lives across the US. Mr. Sha led predictive modeling and analytic teams supporting multiple GlaxoSmithKline, Novartis, McNEIL and King Pharmaceuticals products, as well as credit risk and fraud detection modeling at TD Bank and Upromise.

Mr. Sha began his 30+ year career as an economist, specializing in public policy and federal regulatory promulgation, after studies at the University of Maryland and Harvard University.

Session: Fraud Risk Scoring Combining Cost and Quality Models

 Jessica Taylor

Jessica Taylor

Care Manager

St. Joseph Healthcare

Jessica is a care manager for St. Joseph Healthcare. She directly manages and makes assignments to staff for high risk patients using the real time predictive tools.

Session: Improving Care Coordination and Reducing Readmissions Using Real Time Predictive Analytics

 Charles Venuto, PharmD

Charles Venuto, PharmD

Clinical Pharmacologist

University of Rochester Medical Center

Charles Venuto, PharmD, is a clinical pharmacologist with experience in pharmacokinetic and population pharmacokinetic modeling. His main research interests focus on characterizing the pharmacokinetics and pharmacodynamics of approved and investigational drugs and identifying influential sources of variability in drug behavior. These could include: pharmacogenetics, drug-drug interactions, and disease progression factors. Dr. Venuto has collaborated with the New York State Center of Excellence Translational Pharmacology Research Core, the AIDS Clinical Trials Group, and CHDI (formerly the Cure Huntington’s Disease Initiative) in various clinical pharmacology modeling and simulation projects.

Session: Tackling Parkinson's via Predictive Analytics

 Nephi  Walton

Nephi Walton

MD, MS Biomedical Informatics

Washington University / University of Utah

Nephi Walton received an MD as well as a masters in Biomedical Informatics from the University of Utah, where his work was focused on using data mining and predictive analytics in the fields of genetics, bio-surveillance and hospital management.

He was the winner of the 2008 American Medical Informatics Association National Data Mining Competition. He has more than 7 years of experience using neural networks, Bayesian networks, decision trees, and other data mining methods for predictive analytics. He has 18 years of experience in industry programming and managing databases, including the development of award winning complex 3D and mobile applications.

In addition to his work in industry he is a physician at Washington University where he is completing a dual residency in both pediatrics and genetics. He has contributed to several books and papers on predictive analytics and data mining.

Session: Predictive Analytics in Lab Utilization - Decreasing Costs of Laboratory Testing While Increasing Diagnostic Yield

 Nick Wiechman

Nick Wiechman

Business Intelligence Developer

OSF Healthcare System

Nick is an experienced Business Intelligence Developer working in the Analytics division at OSF HealthCare. In his current role he is able to merge his background in statistics and process improvement with his experience in health informatics to develop robust tools focused on data exploration. Nick earned his MS in Industrial and Systems Engineering from Northern Illinois University.

Session: Preventing Readmissions and Reducing Costs with Predictive Analytics

 William Wood

William Wood

VP, Medical Affairs

St. Joseph Healthcare

William Wood, M.D. is Vice President of Medical Affairs at St. Joseph Healthcare, a Covenant hospital in Bangor, Maine. His current responsibilities include health information technologies for St. Joseph Healthcare. Prior to his current position, he served as CMIO for 5 years and medical director of internal medicine for 20 years. Dr. Wood, along with the care management team at St. Joseph Healthcare, have enjoyed a close working relationship with HealthInfoNet and more recently with HBI refining their real-time data analytics package. Dr. Wood is a Maine native and a graduate of Dartmouth Medical School and completed his residency in internal medicine at Mount Auburn Hospital in Cambridge, Massachusetts.

Session: Improving Care Coordination and Reducing Readmissions
Using Real Time Predictive Analytics

 Ken Yale, JD, DDS

Ken Yale, JD, DDS

Senior Vice President & Chief Clinical Officer

Delta Dental of California

Ken Yale has expertise in law, science, and medicine and more than 15 years experience in health care finance and delivery, data science, and government regulations.

Prior work includes CEO of the innovation incubator at a major, national health plan, Corporate VP at Matria Healthcare, head of Government Programs for CorSolutions, and Founder/CEO of Advanced Health Solutions.

Before building healthcare businesses Dr. Yale was Chief of Staff for White House Office of Science and Technology, Executive Director of White House Domestic Policy Council, U.S. Senate Legislative Counsel, and U.S. Public Health Service Commissioned Officer.

Dr. Yale is on boards and committees at URAC and Bloomberg/BNA. He is author of Managed Care Compliance Guide (2000, American Health Lawyers Association), Clinical Integration: Roadmap to Accountable Care (2011, Convurgent), Comparative Effectiveness - Evolving to a New Model (2012, Convurgent), and a tutorial in Practical Predictive Analytics and Decisioning Systems for Medicine (2014, Elsevier).

Session: Financial Analytics or Clinical Analytics: Which is Better
Workshop: Predictive Analytics in Healthcare: Techniques, Opportunities, and Challenges in Changing the Way We Deliver Healthcare

Share |

Co-Located with
PAW Boston eMetrics Boston

Thank You to our 2015 Sponsors

dell

Elder Research





Predictive Analytics Times

Blog Partners
© 2017 Predictive Analytics World | Privacy

Program by: Elder Research, Inc.
Elder Research, Inc.

Produced by Prediction Impact, Inc. and Rising Media, Inc.

Predictive Analytics Company           Predictive Analytics Event Producer