INDUSTRY TRACK BIOS & ABSTRACTS

Healthcare

BlueCross BlueShield of Tennessee
Transitioning from Reporting to Analysis - How to Convert Data into Actionable Information
In this presentation, Soyal Momin will explore the basic ingredients required to convert data into usable information - which include organizational culture, the power of executive support, the right infrastructure and talent, and collaborative learning. He will share how the power of business analytics can be channeled to achieve the mission of providing affordable, high-quality, high-value healthcare to customers. In sharing how BCBST has become an analytics-based organization, Momin will discuss several SAS applications, including the use of SAS Forecast Studio, SAS Enterprise Guide and SAS Enterprise Miner.

• Soyal Momin, Director, Research and Population Management Analytics, Medical Informatics
  Soyal Momin is Director of Research and Population Management Analytics in the Medical Informatics division at BlueCross BlueShield of Tennessee. His responsibilities include health intelligence/R&D, care management/disease management analytics, customer analytics and accreditation analytics. His areas of interest include converting data into usable information through creation of ideas and questions relative to business issues; developing tools to be used in medical and provider management programs; collaborating with academic institutions; sharing information through conferences, journals and other mechanisms; and consulting with other health plans/organizations.

  His education includes a bachelor’s degree in pharmacy and master’s degrees in pharmaceutics, marketing and pharmacy administration from the University of Rhode Island.

Cardinal Health
Evolution of the Analytics-Based Organization
Rajeeve (Reggie) Kaul will share lessons he has learned through his experience in building strong analytical capabilities across several different organizations. Learn about common pitfalls, best practices and future possibilities in this ever-evolving field. Kaul will also discuss Cardinal Health's use of SAS for its Customer Profitability Web Portal, which allows users across the company to easily access financial data tailored to their role in the organization.

• Rajeeve (Reggie) Kaul, Vice President, Customer Profitability Management
  Rajeeve (Reggie) Kaul is Vice President of Customer Profitability Management at Cardinal Health. His education includes MS and MBA degrees from the University of Massachusetts (Amherst). Prior to joining his current organization, Kaul was Director of Price and Product Optimization at AutoZone, where he developed next-generation solutions and provided recommendations for improving product assortment and pricing strategy, thereby improving return on inventory investment. His other job experiences include GE, where he developed Six Sigma and cost-of-failure models, which contributed significantly to business profitability; and Advanta, where he created pricing decision-support solutions for the mortgage banking industry.

SAS
SAS Fraud Framework, Featuring Social Network Analysis
Healthcare fraud costs the industry an estimated $68 billion to $100 billion each year. With those staggering figures translating into the identification of only 10 percent of fraudulent activity and recovery of only 3 percent of dollars lost, the healthcare industry is facing an urgent need to adopt more proactive and advanced analytic techniques in order to protect benefit premiums and to avoid passing along these potentially avoidable costs to consumers. Learn how SAS is helping payers to solve the problem of healthcare fraud and abuse through the introduction of the SAS Fraud Framework for Healthcare. Components of the SAS Fraud Framework will be discussed, with emphasis on detection and prevention of single-party and collusive fraud. The presentation will include the innovative application of SAS Social Network Analysis for efficient and accurate identification of multi-party fraud and abuse.

• Richard J. Pro, MS, FAHM, Health Plans Principal, Health and Life Sciences Global Practice, SAS
  Richard Pro currently serves as Health Plans Principal and is responsible for driving the development of SAS solutions that target key business issues faced by global health plan markets. Pro joined SAS in 2005 as a Principal Solutions Architect in the Health and Life Sciences Organization. Subsequently, he managed the Global Professional Services and Delivery group responsible for health plan solution development and implementation.

  Prior to joining SAS, Pro served for more than 17 years at Highmark Inc., the 10th largest health insurer in the United States and fourth largest among the “Blue” plans. His most recent management role was as Vice President, Health Care Informatics, Research and Analysis, where he led the 100-person strategic analysis, decision support, applied research and employer consulting function that supported the Highmark health insurance business, its external business partners and subsidiary companies with various employer, financial, medical management and provider analysis, data mining, reporting and predictive modeling capabilities.

• John Brocklebank, Vice President, SAS Solutions OnDemand, SAS
  John Brocklebank, Vice President of SAS Solutions OnDemand, oversees SAS’ growing menu of applications and directs product R&D, marketing, sales, program management, IT, quality assurance, documentation and the Advanced Analytics Lab. Current offerings address issues in marketing, fraud detection, drug development and education, and include education value-added assessment system ASP educational testing (K-12).

  Previously a Senior R&D Director for SAS’ Analytic ASP, Brocklebank joined SAS in 1981. He earned a PhD in statistics from North Carolina State University, where he was an adjunct professor from 1999-2000. He holds six US patents and has published more than 30 papers and presentations.

Life Sciences

Daiichi Sankyo
Patient-Driven Drug Development: It’s all About Innovation and Collaboration
The pharmaceutical industry faces many challenges – not least, its current drug development business model is broken! This presentation will discuss how an emerging new pharma ecosystem business model can leverage innovative, Web-based technologies focused on patient-payer-provider collaboration to develop cost-effective, patient-driven, outcomes-based medicines.

The pharma ecosystem is focused on key areas such as fluid external partnerships, virtual R&D models and knowledge management platforms. Arbitraged outsourced services will optimize the time, quality, and cost drivers of drug development, but it will be the establishment of centers of excellence which will provide the competitive advantage. The significance of modeling and simulation systems, the discipline of pharmacogenomics and the deployment of Bayesian-based decision tools will allow pharma to design clinical development programs more rationally and deliver their end-points more quickly.

• Ron Fitzmartin, PhD, MBA, Vice President, Informatics and Knowledge Management
  Ron Fitzmartin is Vice President, Informatics and Knowledge Management at Daiichi Sankyo Pharma Development. In this capacity, he provides the technology vision and strategic leadership responsible for the provision of global knowledge management services. In addition, Fitzmartin is responsible for delivering an information systems environment and infrastructure that is compliant with all applicable regulations.

  Prior to Daiichi Sankyo, Ron was Vice President, Global Technical Services at Daiichi Medical Research Inc., responsible for biostatistics, data operations, knowledge management and informatics. He has held positions at Purdue Pharma LP, the US Census Bureau, the US Department of the Navy and the University of Maryland.

  Fitzmartin received a PhD in statistics from the University of Maryland, an MBA from the University of New Haven and a BS in political science/history from Southern Connecticut State University.

• John Wise, Senior Director, Informatics, Daiichi Sankyo Pharma Development
  John Wise, MA is a Senior Director and Head of Informatics and Knowledge Management Operations at Daiichi Sankyo Development Ltd. He is responsible for the development and deployment of Daiichi Sankyo’s globally accessible information systems supporting its clinical development activities.

  Previously, Wise held IT and informatics leadership roles in a variety of organizations, including St George’s Hospital Medical School in the University of London, Sandoz, Imperial Cancer Research Fund, Roche, Ipsen and First Consulting Group.

  Wise graduated as a physiologist from the University of Oxford and received a post graduate certificate in education from the University of London.

Wyeth
Leveraging Large External Healthcare Databases to Meet the Needs of Pharmaceutical R&D
Pharmaceutical companies now require up-to-date epidemiologic information on diseases that have an unmet medical need to inform billion-dollar R&D investment decisions. In addition, many R&D organizations now want real-world evidence on marketed drugs to evaluate whether their drug candidates offer some clinically meaningful advantage over the current standard of care with respect to effectiveness, safety, tolerability or ease of use. Pharmaceutical companies also are being challenged by regulators to fund more post-marketing safety studies (to address unresolved safety issues) at a time when they have to make larger investments to their R&D pipelines to survive.

Anonymized patient-level data extracted from external health insurance claims databases and electronic medical records databases can be used to address these disparate business needs. We’ll discuss this and the key challenges to selecting and implementing a technical architecture for accessing and aggregating large external healthcare databases within a pharmaceutical company. This presentation will also provide an example of how Wyeth Research leveraged its existing SAS infrastructure supporting statistical programming for clinical trials to deploy a PC-based, self-service, business intelligence tool that could perform rapid queries on a data warehouse containing the de-identified electronic medical records of more than 3 million patients.

• Michael N. Cook, PhD, MSc, MSPH, Director, Epidemiology, Global Safety Surveillance and Epidemiology, Wyeth Research
  

  Michael Cook, PhD, supervises the epidemiology team responsible for designing and conducting all post-authorization safety studies for marketed products in the neurosciences, hematology and oncology therapeutic areas that are Phase IV regulatory commitments to the US Food and Drug Administration or the European Medicines Agency. Dr. Cook and his team also support the clinical development of new drugs in the aforementioned therapeutic areas by authoring the epidemiology sections of key regulatory submissions, such as risk management plans, pediatric investigational plans and orphan drug applications. Additionally, his department conducts research projects and provides expert scientific consultation to inform market forecasting and manufacturing projections regarding the expected disease incidence/prevalence in key markets around the globe.

  Dr. Cook has served as the Wyeth scientific representative on the World Health Organization’s Council for International Organizations of Medical Sciences (CIOMS) Working Group VIII on Signal Detection in Pharmacovigilance and on the design team for the FNIH-FDA-PhRMA Observational Medical Outcomes Partnership (OMOP) project. For the past two years, he has led the development of a data warehouse/business intelligence infrastructure at Wyeth, based on the SAS Business Analytics Framework, to support rapid access to these large, external healthcare databases to address time-critical business questions supporting drug safety.

  Dr. Cook holds a PhD in epidemiology from the University of North Carolina at Chapel Hill. He also holds a Master of Science in public health from the University of North Carolina at Chapel Hill and a Master of Science in pharmacology and toxicology from Queen’s University at Kingston, Ontario, Canada.

CUSTOMER DEMONSTRATION BIOS & ABSTRACTS

Healthcare

BlueCross BlueShield of Arizona

As with most health plans today, current disease management efforts at BCBS Arizona are focused on a limited number of chronic conditions, e.g., coronary artery disease, diabetes and asthma. The importance of managing these chronic conditions cannot be overstated. However, for any given employer account, chronic conditions affect only a few percent of the commercial insurance population. The result is continued pressure from the employer community to interact with a larger cross-section of the employee population. To do so requires the expansion of disease and health management activities into populations that have not traditionally been defined.

Our presentation will show results in these areas powered by SAS software’s enhanced disease management analytics. We can now perform book-of-business population stratification associating every member with a clinical category, including healthy members and health status unknown categories. These clinical categories form the basis for identifying new disease management opportunities that are specific to the health plan’s membership.

• MaryAnne DePesquo Hope, SAS Analytic Manager, Informatics
  MaryAnne DePesquo Hope is the SAS Analytic Manager at BlueCross BlueShield of Arizona. She holds an MS in statistics and has worked in the healthcare field for more than 25 years. She has used SAS throughout those years working for major pharmaceutical companies, CROs, healthcare quality improvement organizations, CMS and the Veterans Administration. At BlueCross BlueShield of Arizona, she is responsible for database efficiencies, providing SAS solutions to internal customers and the development of predictive analytics for disease management and marketing campaigns.

Cardinal Health
SAS Business Intelligence
The customer profitability and strategic pricing team at Cardinal Health has leveraged the power of SAS^® BI Server for Customer Profitability Web Portal to deliver a number of applications to assist decision makers throughout the company. This demonstration will feature the customer profitability Web portal – a Web application that allows users across the company to easily access financial data tailored to their role in the organization. This application shows that in addition to all of its other capabilities, SAS gives application developers the tools to create user-friendly Web applications.

• Jeff Fallon, Consultant, Cardinal Health
  Jeff Fallon is a consultant with the customer profitability and strategic pricing team at Cardinal Health. In addition to designing and developing SAS applications, he serves as Cardinal Health's SAS Business Intelligence Administrator.

CareSource
SAS Information Delivery Portal
Join us to learn how CareSource uses SAS Information Delivery Portal as its complete reporting solution. MyReports is customized to align to the corporate Intranet theme and follow corporate branding guidelines. All reporting is automatically generated and posted to the portal and archived. Pregenerated and ad hoc report examples will be shown, the security architecture will be detailed, as well as the report publishing and archiving process.

• Ben Bennett, Manager, Data Management
  Ben Bennett has more than 20 years of experience in data collection, reporting, information delivery and business intelligence. He began his career in 1986 while in the US Army developing databases and code for the collection and calculation of physical fitness testing information. After serving in the Army, he attended Ohio University, earning a BS degree in electrical and computer engineering.

  For the past four years, Bennett has managed the CareSource team that is responsible for the company's data quality and completeness; administering the SAS Enterprise Business Intelligence Server supporting analytics and companywide reporting; and overseeing the design, creation and support of all analytic databases.

Community Care Behavioral Health Organization
SAS Data Integration and Data Quality
Community Care Behavioral Health Organization (Community Care) needed to increase the sophistication of its ability to manage, analyze and report on data in order to support organizational improvement, accommodate its rapid growth and provider better services to the members and healthcare service providers. Attend this demonstration to learn how Community Care implemented SAS strategies to accomplish these goals.

• Frank Wang, Manager, Data Warehousing
  Frank Wang is the Manager of Data Warehousing for Community Care. He obtained his master’s degree in information science from Duquesne University and is currently pursuing his master’s degree in healthcare information systems at Carnegie Mellon University. Wang has worked in the healthcare industry for the past eight years and has more than 18 years of business experience in analytics application design, development and implementation.

Horizon BCBSNJ Inc.
Health Plan Reporting with SAS Enterprise Business Intelligence Server
Healthcare data is growing in size and subject area as fast as the demand for it. Informatics at Horizon has continually addressed the demand and delivery of healthcare analytics to an ever-changing environment through the use of new SAS technologies and new business practices. This demonstration will show our approach, through SAS Enterprise Business Intelligence, to address the future of healthcare reporting in areas such as actuarial and sales. This SAS solution is adaptable to any industry where there is a need for data analytics.

• Mike Occhipinti, Director of Informatics, Clinical Data Warehousing
  Mike Occhipinti is the Director of Informatics, Clinical Data Warehousing at Horizon. A SAS programmer since 1993, Mike has worked for Horizon since 1990 on large-scale enterprise projects, including the installation of SAS on multiple platforms. Today, Mike is intimately involved with the coordination and development of multiple analytical projects, including healthcare trend analysis, disease management program administration, physician profiling and ROI.

Maine Medical Center
SAS Strategic Performance Management
Maine Medical Center is using SAS Strategic Performance Management to deliver scorecards to the entire organization. This showcase will demonstrate Maine Medical Center's scorecard for its Adult Inpatient Medicine Program, which charts this service line's performance achieving key strategic priorities in patient safety, quality, satisfaction, staff education and financial management. Additional reporting applications from the SAS portal will also be demonstrated.

• J. Peter Chingos, Manager, Data Analysis, Maine Medical Center
  Peter Chingos holds a BA from McGill University and an MBA in healthcare management from Boston University. As the Manager of Data Analysis for Maine Medical Center, he has been responsible for the implementation and management of balanced scorecards since 2003. His prior experience includes implementing decision support/cost accounting systems, performance improvement, project management and hospital operations.

Life Sciences

Acorda Therapeutics Inc
SAS Solutions OnDemand: Drug Development
This demonstration will showcase SAS Solutions OnDemand: Drug Development, a hosted solution for aggregating, analyzing and reviewing clinical trials data in order to determine safety and efficacy outcomes. This offering includes a compliance-enabling platform for efficiently developing, executing and managing the collection, sharing, transformation, analysis and submission of clinical research data.

• Lawrence Marinucci, Senior Director, Biostatistics and Data Management
  Lawrence N. Marinucci has been Acorda Therapeutics’ Senior Director, Biostatistics and Data Management, since January 2009 and previously served as Director, Biostatistics (2006-2009) and Associate Director, Biostatistics (2004-2005). He specializes in the areas of Multiple Sclerosis and spinal cord injury. He has a BA in mathematics and statistics and an MS in biometry and statistics from the State University of New York at Albany.

Daiichi Sankyo
Using SAS Drug Development to Promote Collaboration and Improve Decision Making
Join our speaker to learn how SAS Drug Development can be used to provide quality, on-demand data to clinical development teams to enable quicker decision making on the conduct and disposition of clinical trials. SAS Drug Development facilitates rapid access to clinical trial data for data review, analyses and report generation, and provides an environment that promotes collaboration between all clinical team members, data providers and service providers.

SAS Drug Development provides a centralized, secure, regulatory-compliant and scalable repository for clinical trial data and can be the cornerstone of a suite of integrated clinical solutions that enable companies to streamline the process of capturing data at investigator sites, exchanging data with multiple data and service providers, data integration, medical event coding, data visualization, analysis and reporting. This also allows companies to eliminate the need to implement traditional clinical data management systems used for paper-based data collection, data management and data integration.

• Bernd Doetzkies, Director, Information Technology/Information Services
  Bernd Doetzkies is Director, Informatics, at Daiichi Sankyo Pharma Development, where he is responsible for collaborating with clinical research functional areas to identify opportunities for process optimization through the innovative exploitation of information management technologies. He is also responsible for ensuring that systems are implemented and maintained in a secure and regulatory-compliant manner.

  Doetzkies has more than 25 years of experience developing and implementing research-based information management and analysis systems across a number of industries, including 15 years within the pharmaceutical domain.

ICON
SAS for Clinical Data Integration

• Charles DuMond, Senior Vice President, Global Biostatistics and Programming

Merial Limited
Patient Safety: Signal Detection and Root-Cause Analysis
Learn how to go beyond simple adverse-event reporting systems and unmanaged signal detection. SAS Patient Safety provides a comprehensive solution that addresses new regulatory safety guidance and provides the most advanced analytics for signal detection, pharmacovigilance and root-cause analysis.

More than a series of statistical algorithms, the signal detection and root-cause analysis capabilities in the SAS Patient Safety solution provide automated signal detection that integrates the application of multiple, sophisticated algorithms into a comprehensive surveillance strategy. SAS Patient Safety also offers customizable workflows within a Web interface that guide users through their routine safety review process. Plus, its ad hoc analysis and text search capabilities enable users to explore the data or focus on suspicious trends.

• Michael Behr, Manager, Pharmacovigilance
  

Wyeth
Leveraging SAS to Support Clinical Trial Statistical Programming
This demonstration will provide an example of how Wyeth Research leveraged its existing SAS infrastructure supporting statistical programming for clinical trials. The company now deploys a PC-based, self-service, business intelligence tool that can perform rapid queries on a data warehouse containing the de-identified electronic medical records of more than 3 million patients.

• Michael N. Cook, PhD, MSc, MSPH, Director, Epidemiology, Global Safety Surveillance and Epidemiology, Wyeth Research
  

  Michael Cook, PhD, supervises the epidemiology team responsible for designing and conducting all post-authorization safety studies for marketed products in the neurosciences, hematology and oncology therapeutic areas that are Phase IV regulatory commitments to the US Food and Drug Administration or the European Medicines Agency. Dr. Cook and his team also support the clinical development of new drugs in the aforementioned therapeutic areas by authoring the epidemiology sections of key regulatory submissions, such as risk management plans, pediatric investigational plans and orphan drug applications. Additionally, his department conducts research projects and provides expert scientific consultation to inform market forecasting and manufacturing projections regarding the expected disease incidence/prevalence in key markets around the globe.

  Dr. Cook has served as the Wyeth scientific representative on the World Health Organization’s Council for International Organizations of Medical Sciences (CIOMS) Working Group VIII on Signal Detection in Pharmacovigilance and on the design team for the FNIH-FDA-PhRMA Observational Medical Outcomes Partnership (OMOP) project. For the past two years, he has led the development of a data warehouse/business intelligence infrastructure at Wyeth, based on the SAS Business Analytics Framework, to support rapid access to these large, external healthcare databases to address time-critical business questions supporting drug safety.

  Dr. Cook holds a PhD in epidemiology from the University of North Carolina at Chapel Hill. He also holds a Master of Science in public health from the University of North Carolina at Chapel Hill and a Master of Science in pharmacology and toxicology from Queen’s University at Kingston, Ontario, Canada.