October 24-27, 2016
New York
Delivering on the promise of data science

Workshop

Workshop sponsored by:

Wednesday, September 30 in Boston
Full-day: 9:00am - 4:30pm

Room: Harborview 2

Predictive Analytics in Healthcare: Techniques, Opportunities, and Challenges in Changing the Way We Deliver Healthcare


Gary Miner
DELL Represenative instructor
GARY MINER, Ph.D.
Ken Yale
Instructor:
Ken Yale, JD, DDS
Linda A. Winters-Miner
Instructor:
Linda A. Winters-Miner
Ph.D.
Nephi Walton
Instructor:
Nephi Walton
(M.S. in Bioinformatics)
Derek Walton
Coordinator:
Derek Walton

Intended Audience:

  • Analysts, Students, CEO's and CIO's of Hospitals and Medical Clinics, Doctors, Nurses, and Medical Administrators and Technical Managers: Analysts who would like a tangible introduction to predictive analytics or who would like to experience analytics using a state-of-the-art data mining software tool.
  • Anyone who would like an introduction to the use of predictive analytics in medical settings, and would like to experience doing a modeling exercise in a laboratory format learning a state-of-the-art Predictive Analytic software tool.

Knowledge Level: Beginner through advanced. For the beginner this workshop takes them through a healthcare modeling exercise from start to finish without any required prior training. For the advanced student this workshop will teach where predictive analytics is being used in healthcare, techniques used, and challenges that are faced. This workshop is for anyone interested in learning about the "Re-engineering of Medical / Healthcare Delivery".


Workshop Description

Attendees will learn several things in this workshop:

  • Historical background of the development of healthcare delivery and current challenges.
  • How to increase quality of care, prevent adverse events, and decrease costs using predictive analytics.
  • The role of predictive analytics in Personalized Medicine and Genomics.
  • How to use predictive analytics software and build your own models - each attendee will use their own laptop, with software provided by the instructors, to work through a modeling problem
  • The future of medicine innovations and challenges.

Participant background
In addition to historical background and theory that will be presented, this is a hands-on workshop where all participants will be actively involved, and thus will work independently or in a small team throughout the day. The instructors and 'Technical Assistants' (that will roam around the classroom) will individually assist all attendees in understanding and use of both software and modeling issues throughout the day.

Software
Most concepts covered are applicable to all predictive analytics and decisioning projects - regardless of the particular software employed. The software to be used for this workshop is Dell Statistica (which offers a complete 'end-to-end' solution).

Hardware: Bring Your Own Laptop
Each workshop participant is required to bring their own laptop running Windows. Instructions will be provided to install a trial license for the analytics software used during this training program, and will also be workable for a period of time beyond this workshop.

Attendees receive a special "HEALTHCARE PREDICTIVE ANLAYTICS & DECISIONING for MEDICINE' course workbook and an official certificate of completion at the conclusion of the workshop.


Schedule

  • Software installation a 8:00 am
  • Workshop program starts at 8:30 am
  • Morning Coffee Break at 10:30 - 11:00am
  • Lunch provided at 12:30 - 1:15pm
  • Afternoon Coffee Break at 3:00 3:30 pm
  • End of the Workshop: 5:00 pm

Instructors

Dr. Gary Miner, Merit Reviewer, Patient Centered Outcomes Research Institute, Healthcare Innovation Lead, Dell Software group

Dr. Gary Miner received a B.S. from Hamline University, St. Paul, MN, with biology, chemistry, and education majors; an M.S. in zoology and population genetics from the University of Wyoming; and a Ph.D. in biochemical genetics from the University of Kansas as the recipient of a NASA pre-doctoral fellowship. He pursued additional postdoctoral studies at the U of Minnesota and U of Iowa eventually becoming immersed in the study of affective disorders and Alzheimer's disease.

In 1985, he and his wife, Dr. Linda Winters-Miner, founded the Familial Alzheimer's Disease Research Foundation, which became a leading force in organizing both local and international scientific meetings, bringing together all the leaders in the field of genetics of Alzheimer's from several countries. In the mid-1990s, Dr. Miner turned his data analysis interests to the business world, joining the team at StatSoft and deciding to specialize in data mining. He started developing what eventually became the Handbook of Statistical Analysis and Data Mining Applications (co-authored with Drs. Robert A. Nisbet and John Elder), which received the 2009 American Publishers Award for Professional and Scholarly Excellence (PROSE). Dr. Miner's follow-up collaboration, Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications, also received a PROSE award in February of 2013. And Dr. Miner's 3rd book in the "PA Trilogy", Practical Predictive Analytics and Decisioning Systems for Medicine: Informatics Accuracy and Cost-Effectiveness for Healthcare Administration and Delivery Including Medical Research, with Linda Miner as lead author, was released on October 6, 2014 (although it has a 2015 copyright).

Dr. Miner also serves as Merit Reviewer for PCORI (Patient Centered Outcomes Research Institute); additionally teaches on-line classes in predictive analytics for UC-I and UCSD; he currently spends most of his time as HEALTHCARE INNOVATION LEAD for the Dell Software group.

DISCLAIMER: Dr. Miner receives no remuneration for helping team teach this workshop, but does it as a represenative of Dell and because of his long term interest and passion in making healthcare more precise and cost effective.

Ken Yale, JD, DDS, Vice President of Clinical Solutions, ActiveHealth Management

Ken yaleKen Yale was trained in law, science, and medicine, obtaining his DDS from the University of Maryland, and JD from Georgetown University. He is a senior executive with more than 20 years of experience in healthcare finance and delivery, data science, medical management, and government regulations. Currently he is Vice President of Clinical Solutions atActiveHealth Management, a research-based, data analytics, advanced clinical decision support, and care management company. ActiveHealth Management has used predictive analytics to enhance patient engagement, micro-segment populations, study the impact of incentives on health costs and outcomes, develop innovative health predictive models, and perform other advanced analytics work. He holds a teaching appointment in predictive analytics in healthcare with the University of California.

Previously Ken founded and built innovative health companies in medical management, health data analytics, and patient engagement, including Advanced Health Solutions, EduNeering, CorSolutions, Matria/Alere, and was chief executive of the "innovation incubator" in a major, national health plan. Before building businesses he held senior government posts in the White House, U.S. Senate, and U.S. Public Health Service, and practiced clinical dentistry. He is a frequent speaker and writer on health and technology, author/editor of several books, and a chair or member of several industry boards, committees, and trade associations.

Linda A. Winters-Miner, Ph.D. Professor Emeritus of SU; Adjunct Professor at UC-I and UCSD teaching PA of MEDICINE courses

Linda Winters-Miner was trained in Curriculum Design and Educational Statistics, obtaining her Ph.D. from the University of Minnesota. Academic training also included a 2 year NIH – Post-Doctoral Fellowship in MPH/Psychiatric Epidemiology program at the University of Iowa. She has taught in public elementary schools, taught in university settings where she has supervised student teachers, was a consultant in Social Studies for Boise Public Schools, was an Examiner for the Oklahoma Quality Foundation Award, a Coordinator for a Drug Research Protocol for Alzheimer’s for Parke Davis Pharmaceutical Company, and serves on the editorial board for   The Journal of Geriatric Psychiatry and Neurology, Sage Publications. She co-authored two books on Alzheimer’s Disease, including Familial Alzheimer’s Disease: Molecular Genetics and Clinical Perspectives (Dekker pub).   For 22 years she served as Professor and Director of Academic Programs for Southern Nazarene University – Tulsa adult studies programs for graduate and undergraduate programs in psychology and business, including an MBA in Healthcare Administration. For over ten years she served as an IHI Faculty Member for Second Year Medical Residents, In His Image Residency Program in Tulsa, OK, where she oversaw the design, execution, and data analysis for the residents’ 2nd year medical research projects. She is a Founding Editor of an On-Line Journal called: Innovation & Empowerment: Southern Nazarene University-Tulsa Research Journal,is a member of the ISI ASTROSTATISTICS NETWORK . Linda is the author of the tutorials in the following two Predictive Analytics books: “Handbook of Statistical Analysis & Data Mining Applications” (Academic Press, 2009), and “Practical Text Mining” (Academic Press, 2012). She engaged both her SNU-TULSA university students and her 2nd year medical residents in Predictive Analytics [Data Mining and Text Mining].   Linda is a lead-author and wrote 40% of the 2015 book: Practical Predictive Analytics and Decisioning Systems for Medicine, 2015, Elsevier / ACADEMIC PRESS, publisher.

Nephi Walton, M.D. (M.S. in Bioinformatics):

Nephi Walton earned his MD from the University of Utah School of Medicine and a Masters degree in Biomedical Informatics from the University of Utah Department of Biomedical Informatics where he was a National Library of Medicine fellow. His Masters work was focused on data mining and predictive analytics of viral epidemics and their impact on hospitals. He was the winner of the 2009 AMIA Data Mining Competition and has published papers and co-authored books on data mining and predictive analytics. Also during his time at the University of Utah he spent several years studying genetic epidemiology of autoimmune disease and the application of analytical methods to determining genetic risk for disease, a work that continues today. His work has included several interactive medical education products. He founded a company called BrainSpin that continues this work and has won international awards for innovative design in this area. He is currently a combined Pediatrics/Genetics fellow at Washington University where he is pursuing several research interests including the application of predictive analytics models to genomic data and integration of genomic data into the medical record. He continues to work with the University of Utah and Intermountain Healthcare to further his work in viral prediction models and hospital census prediction and resource allocation models.

Derek Walton, Vice President of Closis:

Derek Walton is the president of BrainSpin, and Vice President of Closis. He specializes in business development, business management, branding strategies, and industry networking initiatives in consumer business environments and has been involved in the creation of innovative tools for healthcare and marketing. He has used analytics in marketing, the gaming industry, sales, and other fields. He organizes training sessions and course development for CLOSIS providing vertical training solutions for analytics problems in many industries.

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