Ninth Annual Predictive Modeling Web Summit 2017

      
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Ninth Annual Predictive Modeling Web Summit 2017
  
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Overview
 
The confluence and complexities of new information technology, ongoing healthcare transformation initiatives and mounting pressures for value based care continue to place predictive modeling topics at the forefront of healthcare for the remainder of this decade. In this environment, innovative research and applications involving predictive analytics are essential for healthcare organizations as they move forward.

The Ninth Annual Predictive Modeling Web Summit features a 90 minute live webinar that starts with approaches in positioning a healthcare organization for effective predictive analytics, and then involves two case studies both associated with different aspects of cancer care that are instructive in how risk adjustment and predictive analytics initiatives and research can be applied to key facets in the delivery of healthcare in this transformative and value based era.

Soyal Momin, MS, MBA, Vice President of Analytics at Presbyterian Healthcare Services discusses a healthcare organization's journey in building a structure for effective predictive analytics. His presentation will cover the key objectives their initiatives address; how they have been setting the foundation for data and analytics transformation; their lessons learned across governance, value discovery, information management, EDW, analytics organization, and change management; their progress towards value realization and how they are setting expectations for the future.

Isaac Wagner, Director of Analytics at Memorial Sloan Kettering Cancer Center will discuss their initiatives in predicting patient emergencies. Data scientists at Memorial Sloan Kettering have analyzed a massive body of cancer treatment data, helping to determine which patients are at high risk for specific emergencies, such as fever, pain or dehydration. By using knowledge design interventions, the organization helps their clinicians better manage patient populations and provide a better treatment experience.

Ritwick Panicker, MD, FACP, Senior Medical Director with New Century Health shares how cancer care quality and cost management possesses the ‘perfect storm’ of challenges for predictability: high variability, high cost, and low volume, and how New Century Health has employed clinical data in two ways to reduce chemotherapy-associated hospitalizations and deliver value-based care: risk stratification modeling and predictive analytics.

The event also includes three on-demand sessions, with expert faculty exploring: (A) Risk Adjustment Techniques for Improving Value-Based Payments; (B) Consumer Lifestyle and Behavioral Analytics: Leveraging Supplemental Data for Risk Intervention and More; and (C) Best Practices for Mining Big Data: Legal, Regulatory and Ethical Considerations.

Position your organization for 2017 and beyond in the healthcare predictive analytics landscape. Join us for the Ninth Annual Predictive Modeling Web Summit on Friday June 23rd 2017, and participate in the live ninety-minute national webinar, additional on-demand faculty sessions, predictive modeling e-poll and more, featuring national experts providing key insights, innovative approaches and strategies, actionable intelligence and more on these critical topics.

 
Webinar Agenda
Friday, June 23rd, 2017
1:00 p.m. to 2:30 p.m. Eastern (10:00 a.m. - 11:30 a.m. Pacific)
Click here to find out what time your event starts in your time zone.
  • 1:00 pm - 1:30 pm  Putting the Building Blocks in Place for Effective Predictive Analytics at a Healthcare Organization by Soyal Momin, MS, MBA, Vice President of Analytics, Presbyterian Healthcare Services
  • 1:30 pm - 2:00 pm  Predicting Patient Emergencies - Isaac Wagner, Director, Analytics, Memorial Sloan Kettering Cancer Center
  • 2:00 pm - 2:30 pm  Using Predictive Analytics to Improve Value-Based Cancer Care Delivery - Ritwick Panicker, MD, FACP, Senior Medical Director, New Century Health
On-Demand Sessions & More
On-Demand video presentations with recorded presentation audio and synchronized slide advancement:
  • Risk Adjustment Techniques for Improving Value-Based Payments, by Colleen Norris, FSA, MAAA, Associate Actuary, Milliman and Stoddard Davenport, Actuarial Assistant, Milliman
  • Consumer Lifestyle and Behavioral Analytics: Leveraging Supplemental Data for Risk Intervention and More, by Chris Stehno, Director, Deloitte Consulting
  • Best Practices for Mining Big Data: Legal, Regulatory and Ethical Considerations by W. Reece Hirsch, Partner, Morgan Lewis
  • Plus other Web Summit features including a Predictive Modeling Article Library, an exclusive Predictive Modeling e-poll, and a three month trial subscription to Predictive Modeling News (new subscribers only)
 
Learning Objectives
Participants will be able to:
  1. Share in a healthcare organization's journey in building a structure for effective predictive analytics.
  2. Explore an initiative in predicting patient emergencies  and developing knowledge design interventions, in order to help clinicians better manage patient populations and provide a better treatment experience.
  3. Examine an initiative to employ clinical data in two ways to reduce chemotherapy-associated hospitalizations and deliver value-based care, utilizing risk stratification modeling and predictive analytics.
  4. Learn about risk adjustment techniques for improving value-based payments.
  5. Consider how to leverage supplemental data for risk intervention and more, using consumer lifestyle and behavioral analytics.
  6. Review best practices for mining big data, including legal, regulatory and ethical considerations.
  7. Obtain relevant case experience and marketplace intelligence offered by the faculty, and insights offered from varied expert perspectives.
  8. Experience e-learning at the attendees' convenience, with on-demand sessions, article library, and other online Summit features available 24/7.
  9. Engage in interactive learning through live webinar providing online question submission, attendee surveys, feedback and opportunity for follow up questions, and networking with attendees, faculty and other professionals through dedicated LinkedIn group.
 
Who Should Attend
Interested attendees would include:
  • C-Suite Executives
  • Analytics and Informatics Executives and Staff
  • Actuarial and Underwriting Executives and Staff
  • Risk Adjustment Executives and Staff
  • Statisticians and Data Analysts
  • Planning and Strategic Executives and Staff
  • Medical Directors
  • Clinical Executives
  • Care Management Executives
  • Population Health Executives
  • Pharmacy Benefit Executives
  • Health Benefit Managers
  • Provider Network Executives
  • Innovation and Transformation Executives
  • Business and Market Intelligence Staff
  • Health Care Economists
  • Other Interested Parties

Attendees would represent organizations including

  • Health Plans
  • Hospital Systems
  • Provider Networks
  • Accountable Care Organizations
  • Medical Groups
  • Care Management Organizations
  • Government
  • PBMs
  • Third Party Administrators
  • Employers
  • Life Sciences Organizations
  • Consulting Organizations
  • Business Processing Organizations
  • Solutions Providers
  • Associations, Institutes and Research Organizations
  • Media
 
Registration
Ninth Annual Predictive Modeling Web Summit 2017
 
  Individual Registration Fee: $295. Post-event materials, with video syncing slides and recorded audio, plus presentation pdf file and more: $45 for attendees; $360 for non-attendees after the event. Register online or download the event brochure. Registration includes a three month trial subscription to Predictive Modeling News for no additional cost (new subscribers only).  
     
 
Register Now   Corporate Site licensing also available. Click here to register or call 209.577.4888 We look forward to your participation in this event!
 
 
 
Faculty
 
Soyal Momin, MS, MBA

Soyal Momin, MS, MBA Vice President of Analytics, Presbyterian Healthcare Services

 
 
Soyal Momin is vice president of analytics at Presbyterian Healthcare Services. He oversees PHS’ Data and Analytics Initiative which includes five work streams – Analytics Organization, Information Management Governance, Enterprise Data Warehouse, Change Management, and Value Creation Opportunities. The Data and Analytics Initiative is designed to support clinical, operational and financial reporting/analytics for health plan members and delivery-system patients.

Soyal has over 15 years of informatics, research, and value measurement experience in the payer and Pharmacy Benefit Management space. He holds a BS in Pharmacy, MS in Pharmaceutics, MBA in Marketing, and MS in Pharmacy Administration from the University of Rhode Island.




Isaac Wagner
 
Isaac Wagner, MS
Director, Analytics
Memorial Sloan Kettering Cancer Center
 
 


Isaac directs the Strategy Analytics Group at Memorial Sloan Kettering Cancer Center. Memorial Sloan Kettering employs software engineering, design, operations research, data science and analytics to advance the strategic and clinical objectives of the institution.

The Strategy Analytics Group won the 2012 INFORMS for "repeatedly applying the principles of advanced analytics and operations research / management science in pioneering, varied, novel, and lasting ways.”

Isaac has a masters in math from NYU, has published on comparative effectiveness and cost research and is passionate about developing novel ways to use data to rethink how we deliver cancer cancer care.



Ritwick Panicker

Ritwick Panicker,
MD, FACP
Senior Medical Director, Clinical Operations
New Century Health
 
   
Ritwick Panicker, MD, MMM, CMQ, CPHQ, FACP, MRCP (UK), is Senior Medical Director, Clinical Operations for New Century Health. Domains of his current position include: clinical review of oncology treatment plans- utilization management; enhancing/ improving clinical operations for new century health enhancement of clinical pathways; help develop next generation utilization management; and conducting peer to peer reviews with providers to ensure evidence based oncology care.

Previously, Doctor Panicker was Attending Hematologist/Oncologist with Cancer Treatment Centers Of America in Tulsa and Atlanta for six years, and with Cancer Care Associates in Tulsa for eleven years. He also served at Carolinas Medical Center Northeast and Logan Regional Medical Center before that.
Academic Appointments

Doctor Panicker is also Adjunct Clinical Assistant Professor at the Center For Health Sciences, Oklahoma State University in Tulsa. He holds a Master of Medical Management degree in addition to his Doctor of Medicine. Doctor Panicker is a member of the American Society of Hematology (ASH); American Society of Clinical Oncology (ASCO); American College of HealthCare Executives (ACHE), and American Association of Physician Leaders (AAPL).




Colleen Norris

Colleen Norris,
ASA, MAAA
Associate Actuary
Milliman
  Colleen is an associate actuary with the Denver office of Milliman. She joined the firm in 2008. Since joining Milliman, Colleen has been involved in a variety of projects involving commercial products. Her recent work has focused on assisting healthcare market participants who are taking on risk for the first time in the era of healthcare reform. She has been actively involved in assisting several healthcare CO-OPs with their applications for funding and start-up operations.

Recent projects have involved pricing and reserving of health insurance projects, benefit design and premium development, redesigning rate review processes, and studying the impact of essential health benefits.

Colleen is an Associate in the Society of Actuaries and a Member in the American Academy of Actuaries. She recieved her BS (summa cum laude) in Physics from Creighton University, and a MS in Physics, at the University of California, San Diego (UCSD).

 
 


Stoddard Davenport

Stoddard Davenport
Actuarial Assistant
Milliman
   

Stoddard Davenport has been an Actuarial Assistant with Milliman since 2011. His specialties including helping behavioral healthcare payors and provider organizations understand and manage their financial risks.

His past projects have included: Behavioral healthcare cost projections; Pricing and reserving; Capitation rate setting and negotiation support; Payment reform modeling; Innovation grant financial modeling; Care management program evaluations; Burden; of; illness studies; Patient attribution; Integration opportunity analyses; Cost and utilization benchmarking; Mental health parity compliance reviews; and Predictive modeling.

Stoddard previously served as an Actuarial Intern with Milliman and received his degree from Boise State University.


 


Chris Stehno

Chris Stehno
Director
Deloitte Consulting
 

 
Chris Stehno is a director with Deloitte Consulting LLP and has more than 15 years of experience working with major insurance and health care organizations. Chris specializes in predictive modeling and the use of alternative datasets and their business implications and applications in the life insurance and health care industries.

His work includes the use of data mining and predictive modeling applications to enhance underwriting decisions and new business processes, to identify individuals for disease management and wellness initiatives, to enhance risk-based sales, marketing and retention efforts, to optimize distribution strategies, to develop customer-lifetime value, and to establish cost-reduction applications through advanced analytical analysis.


 


W. Reece Hirsch

W. Reece Hirsch
Partner
Morgan Lewis
 

Reece represents clients in almost all sectors of the healthcare industry on privacy and security compliance matters. He helps them develop policies and procedures, structures healthcare information technology ventures, addresses Big Data issues, and responds to security breaches. Reece also works with clients to develop and implement corporate compliance programs. Healthcare companies turn to Reece for guidance on conforming their operations—including recruitment, marketing, and data transmissions—to US federal and state healthcare regulatory requirements.

Described by Chambers USA as “a terrific healthcare attorney,” Reece has served as lead transaction counsel on the sale and acquisition of hospitals, medical groups, clinics, and other healthcare organizations. He also counsels clients on the regulatory implications of joint venture arrangements. Reece guides clients through corporate matters relating to the formation and ongoing representation of independent practice associations, medical groups, management services organizations, integrated delivery systems, and healthcare technology companies.

In addition to his healthcare industry work, Reece counsels companies outside of the healthcare industry on general privacy and security matters. These include online privacy, financial privacy, and mobile app issues. The International Association of Privacy Professionals has designated him a Certified Information Privacy Professional.

Reece also served on an advisory group to the California Department of Justice that developed a 2013 policy guide on the detection, prevention, and response to medical identity theft for providers implementing electronic health records systems. He previously served on a similar advisory group to the California Office of Privacy Protection that developed security breach response recommended practices.

Reece is a member of the editorial advisory boards of Bloomberg/BNA’s Health Law Reporter, Healthcare Informatics and Briefings on HIPAA.

In 2009, Nightingale’s selected Reece as an Outstanding Healthcare Information Technology Lawyer. He frequently writes on privacy and healthcare topics.

On a volunteer basis, Reece serves on the board of directors of 826 National, a nonprofit organization dedicated to supporting students ages six to 18 in the development of their creative and expository writing skills. He also serves on the board of directors of the Valentino Achak Deng Foundation, which is dedicated to rebuilding the village of Marial Bai in southern Sudan.


 
 
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