2013 Healthcare Business Intelligence Summit
Dr. Kent Bottles
Chief Medical Officer
TOPIC: The Future of the American Healthcare Delivery System in an Era of Change
Dr. Kent Bottles, Chief Medical Officer of PYA Analytics and faculty member of the Thomas Jefferson School of Population health will address the four major trends affecting the American health care delivery system: the Affordable Care Act, the Digital Revolution, Big Data, and Social Media. These four trends are converging at the same time to transform the delivery system and to change what hospitals, providers, payers, employers, and government agencies have to do to thrive in a system where fee for service payments are replaced by prospective, value-based payment programs. Professionals who understand these four trends will be better able to make the changes necessary to provide quality health care to their participants.
About Dr. Kent Bottles:
Dr. Kent Bottles teaches health policy and payment reform at The Thomas Jefferson University School of Population Health in Philadelphia, is Chief Medical Officer of PYA Analytics, and a Consulting Principal at Pershing Yoakley and Associates. He has been a Professor and Chair of academic medical school pathology departments, a Chief Medical Officer of a state-wide integrated delivery system, a President and CEO and DIO of an educational and research collaborative in Grand Rapids, Michigan, a President and CEO of an evidence-based medicine health care consortium in Minneapolis, and a President and Chief Knowledge Officer of a genomics bio-tech start-up company in Cambridge, Massachusetts.
Dr. Bottles has received the following awards and honors: Phi Beta Kappa, The Rodney T. West Literary Achievement Award for the most important article on medical management in 2001 from the American College of Physician Executives, the Resident Teacher of the Year Award from the University of Iowa Department of Pathology, the UC San Francisco Class of 1991 Certificate of Distinction in Teaching for a Major Contribution, the UC San Francisco Class of 1990 Certificate of Distinction in Teaching for a Stimulating Lecture Series, and the Henry J. Kaiser Award for Excellence in Teaching at UC San Francisco for Basic Science.
Dr. Bottles is currently delivering Physician Leadership Academies to help providers understand their new role in the transformed American health care clinical delivery system, conducting strategic planning retreats, blogging for The Doctor Weighs In, hospitalimpact.com, and The Healthcare Blog, and delivering keynotes to health care organizations.
John R (Skip) Valusek
In-Home Lab Connection & Home Lab Partners
TOPIC: Why Should BI Worry About Change Management?
This session is about change as a critical component of safe culture that has been overlooked by the healthcare industry. Delivery organizations can improve patient safety by transforming the avalanche of change into a safer "snowfall". By creating the snowfall, organizations will also realize both improved caregiver satisfaction and higher probability of success of simultaneously implemented projects. For reasons highlighted in this discussion, the BI components of the organization should be concerned with managing the avalanche.
Skip Valusek is an industrial and systems engineer with background in integrated information systems, information governance, real-time decision process modeling and support, analytical decision support, healthcare quality and informatics. He is an evaluator, team lead and judge for the upper Midwest Performance Excellence Network (formerly the Minnesota Council for Quality). His applied research is directed at improving patient safety at the bedside by smoothing the amount of change on any given unit on any given week.
Founder and Principal Analyst
Hired Brains Research
TOPIC: The Way Forward for Business Intelligence
We suggest a dozen best practices needed to move Business Intelligence (BI) software products into the next decade. While five "elephants" occupy the lion's share of the market, the real innovation in BI appears to be coming from smaller companies. What is missing from BI today is the ability for business analysts to create their own models in an expressive way. Spreadsheet tools exposed this deficiency in BI a long time ago, but their inherent weakness in data quality, governance and collaboration make them a poor candidate to fill this need. BI is well-positioned to add these features, but must first shed its reliance on fixed-schema data warehouses and read-only reporting modes. Instead, it must provide businesspeople with the tools to quickly and fully develop their models for decision-making.
Topics discussed include:
- Why BI Must Transition From The Past Century
- The Era Of Big Data Means Business Analytics
- Business Modeling Emerges As a Critical Skill
For any kind of modeling tool to be useful to businesspeople, supportable by the IT organization and durable enough over time to be economically justifiable, it must provide or allow the following capabilities:
- Level of expressiveness
- Declarative method
- Model visibility
- Abstraction from data sources
- Closed-loop processing
- Continuous enhancement
- Zero code
- Core semantic information model (ontology)
- Collaboration and workflow Policy
About Neil Raden:
Analyst, Consultant and Author in Analytics and Decision Science
Neil Raden is the founder and Principal Analyst at Hired Brains Research, a provider of consulting and implementation services in business intelligence, analytics and decision management. Hired Brains focuses on the needs of organizations and capabilities of technology. He began his career as an actuary with AIG in New York before moving into predictive analytics services, software engineering, and systems integration with experience in delivering environments for decision making in fields as diverse as health care to nuclear waste management to cosmetics marketing and many others in between.
Business and Technology Experience
Neil has decades of experience in implementing analytical systems. In 1985, he started Archer Decision Sciences as a consulting company providing advanced quantitative expertise and decision support system design and implementation services in the financial services, telecom, pharmaceutical, consumer products, insurance, manufacturing and utilities industries, to organizations such as Pepsi, Merck, Warner-Lambert, AlliedSignal, United Telecom, Sprint, Dun & Bradstreet, C|Net, ABB, Premier Healthcare, Chubb, Estee Lauder, GE, and many others. In 1991, Archer was one of the first to develop large-scale (at that time) data warehouses and business intelligence environments, and Neil took a leading role in training, speaking and publishing in the field. In 2003, Neil expanded into a role as industry analyst, publishing over 40 white papers, hundreds of articles, blogs and research reports.
Neil is the co-author of the book, Smart (Enough) Systems: How to Deliver Competitive Advantage by Automating Hidden Decisions. He is also the author of two forthcoming books on Data Science and Decision-Making. In 1995, Neil's first in a series of feature articles appeared in InformationWeek, followed by dozens of others in magazines and journals. In 1998, he formed Hired Brains Magazine, a high-end monthly for professional consultants. Neil's blog appears at hiredbrains.wordpress.com. He is a regular contributor to expert sites such as LinkedIn Groups, Focus, Quora and eBizQ, as well as contributed articles to Forbes Magazine in 2012 and 2013 on Big Data. Neil was also an early Wikipedia editor and administrator in areas of technology, health care and mathematics.
Erik van der Velde
Data Governance Lead
University Medical Center Groningen
TOPIC: Tagging Data Governance Issues in a Hospital by Using a Logic Business Data Model
Struggling with the knowledge that between now and three years, our hospital has to migrate to a new HIS in a complex application environment and knowing that legislation about the quality of care, financial position of hospitals, the need for "controlled" data environment is essential. Our hospital started a data journey with the final goal to have a controlled and governed data environment. In our approach we used a national developed reference model to address the several subjects of Data Governance and developed a migration strategy from a multivendor best of breed environment to a single vendor best of suite environment.
This presentation covers the following subjects:
- Finding a useful reference model for healthcare in a disorderly world
- Developing a logic business data model without losing the "real" world
- Setting up a data governance organization
- Developing a data lifecycle and migration strategy
About Erik van der Velde:
Erik van der Velde is a senior Healthcare BI/DG consultant/project manager with a wide range of experience in healthcare. He currently leads a Data Governance program at the University Medical Center Groningen, one of the largest hospitals in the Netherlands. During his career, he initiated and supported several BI programs in all domains of a Hospital environment dealing with existing "data drama". Now he explores the different areas of Data Governance to get this data "in control". He is a member of the executive committee of "All about data", a bi-annual educational congress dedicated to professional's working on data in healthcare organizations held in the Netherlands.
Lisa (Min) Hu
Vice President of the Enterprise Adherence Initiative
TOPIC: The Impact of Improving Medication Adherence with Data
The Pharmacy Care Economical Model (PCEM) is an evidence-based tool developed by CVS Caremark that quantifies the financial value of optimized medication therapy in people with 16 chronic diseases. The model takes a holistic approach and incorporates the benefits of medication adherence, closing gaps in care, use of generic alternatives and improved productivity. PCEM builds off of peer-reviewed literature that demonstrates that patients who are optimally adherent to their medications and are prescribed medications according to guidelines are healthier and more likely to avoid adverse outcomes that lead to costly hospitalizations and ER visits. PCEM also quantifies the savings that can be achieved when generic substitution is maximized and when productivity is improved as a consequence of better health. The model will be illustrated through condition-specific examples and application to 100,000 live Commercial, Medicare and Medicaid populations to provide a view of financial savings that can be realized through optimized pharmacy care.
About Lisa (Min) Hu:
Lisa (Min) Hu serves as Vice President of the Enterprise Adherence Initiative at CVS Caremark. She has been with the Company since 2007. In this role, she leads the business application team that provides knowledge and insight into the strategy and delivery of improved adherence within the CVS Caremark enterprise. Prior to this role at CVS Caremark, Ms. Hu led the enterprise analytics team responsible for pharmacy based research, business opportunity and value, client reporting and complex analytic modeling as well as analytic product development, competitive intelligence, industry and marketing analytics.
Prior to her tenure with CVS Caremark, Ms. Hu was part of the managed health team at Hewitt Associates, LLC, where she worked with fortune 500 employers to design and assess strategies for preventive care, disease management, disability management, prescription drug, clinical audit/assessment and managed mental health programs. She served as a subject matter expert in all areas of health management, with a specific focus on analytics, report carding and benefits design.
Ms. Hu possesses more over 15 years' experience in leading analytic teams, including previous history with CVS Caremark. Currently participating in the leadership program and a member of the diversity senior leadership council at CVS.
Having worked with such national organizations as the URAC and formally Disease Management Association of America, Ms. Hu is published in trade and peer review journals including authoring the Disease Management Definitions and Outcomes Dictionary.
Ms. Hu holds a BS from the University of Florida and a Master of Public Health Epidemiology from the University of Illinois.
Chief Operating Officer for the Chief Medical Officer
University of Pennsylvania Health Systems
TOPIC: Automating Quality Measure Reporting to Enable Faster Performance Improvement
About Neil Ravitz:
Neil Ravitz is the Chief Operating Officer for the Chief Medical Officer at University of Pennsylvania Health Systems. He is focused on improving quality and patient safety outcomes and process through the many initiatives at Penn. Upon arriving at Penn Medicine, Neil led the development and implementation of a comprehensive Quality Data Mart solution that has been extremely successful. He is a graduate of the United States Military Academy at West Point and later served a combat tour in Iraq in 2004 earning a Bronze Star for his service. Mr. Ravitz transitioned to consulting after the military and has used his background in Federal IT to help design systems and processes that bring quality data closer to the front line to help clinicians provide better care. Mr. Ravitz is currently working on his MBA through Penn State University. He is an accomplished public speaker and author on various leadership topics.
Director of Business Analytics and Market Insights (BAMI)
TOPIC: Overcoming common obstacles to harnessing true BI value
BI's ability to improve an organization's understanding and approach to their market is well understood; however, the effectiveness of the effort and real-world results have been harder to achieve and sustain. While every organization is different there are common barriers as well as methods of remediation that virtually all organizations deal with. This presentation will highlight common barriers that plague businesses, and more importantly, share some lessons learned towards remediation and advancing of the BI agenda.
About Raj Lohani:
Raj Lohani is the Director of Business Analytics and Market Insights (BAMI) for Medtronic Neuromodulation. In his role since joining the company in August 2011, Raj is responsible for quantitative decision support for all Neuromodulation therapies that cumulatively account for about 17% of Medtronic's annual revenues of $16 Billion. BAMI's mission is to create business advantage through actionable intelligence, and strives to leverage insights and analytics that integrate information from across the business - market research, financial forecasting, sales analytics, competitive intelligence, customer relationship management as well as marketplace and environmental factors - to guide and optimize business decisions.
Prior to Medtronic Raj served as Vice President of Strategic Insights & Analytics at Cardinal Health, where he led the monitoring, analyzing and communicating of market trends and insights to shape business strategies and actions for a $90 billion business unit. Prior to Cardinal, Raj led the Marketing Sciences function at Roche Diagnostics, where he directed the design, development and execution of all custom and standardized research/analysis as well as the company's strategic planning process.
Academically, Raj holds a Master of Science Degree in Business Management and a Bachelor of Science Degree in Industrial Engineering.
Director of Business Intelligence
TOPIC: Data Visualization Saves The Day! Turning Big Data Actionable.
We have all heard the saying, "A picture is worth a thousand words," but in today's era of Big Data, "A picture is worth a million data points," would be more accurate. The capacity of humans to understand data is not growing at a rate commensurate with data's increasing complexity. This means that visualization is more critical than ever before, because it facilitates cognitive efficiency, which creates an environment where terabytes of healthcare data become less complex and more actionable.
At Zotec Partners, we leveraged advanced visualization techniques to build a custom Business Intelligence tool. This tool gives executives near real-time visibility into the entire revenue cycle management flow, thus providing the foundation for dynamic, fact-based decision making. As a result, Zotec Partners positioned itself to acquire one of its fiercest competitors; a competitor larger than Zotec itself.
This session will go over the importance of data visualization, providing real-world examples of the process improvements that are possible thanks to the intuitive tool developed by Zotec Partners.
About Jeff Maze:
Taking big data and transforming it into useful, useable and comprehendible business intelligence is Jeff Maz's passion. Since 2009, he has worked for Zotec Partners, an industry leader in specialized medical billing and practice management services for the hospital-based specialty market.
As a member of the senior management team at Zotec Partners, Jeff has built and led a team of highly skilled analysts, developers and programmers to create an analytical tool that actively monitors the entire revenue cycle management process in near real-time. He and his team are focused on turning vision into reality and providing innovative solutions to clients to improve overall operations and efficiency.
Jeff's career has spanned nearly two decades working for some of the largest health care industry firms, including Mercer HR Consulting and WellPoint. A dedicated visionary and innovator, he has always focused on making complex data and analytics simple, intuitive and elegant.
Jeff graduated from Indiana University with a bachelor of science in mathematics and has a MBA from Anderson University. He is also an adjunct professor of statistics at Marian University in Indianapolis, Ind.
TOPIC: RX for Effective Big Data Analytics
Big data analytics are a must have for both healthcare providers and payers. Most organizations have at least a strategy or have implemented big data analytics in some form. However, finding a practical path often proves elusive or frustratingly complicated when balancing impact against limited budgets, and timely delivery of tangible business and clinical benefits.
- Top five big data analytics planning criteria
- A practical path to big data analytics based on a common use case
- How to explore the known unknowns
Whether you're just getting started, or want to get more out of your current big data analytics program, you won't want to miss this session.
About Dave Guevara:
Dave Guevara is the chief strategist for the Ciber business consulting practices focused on big data analytics for healthcare. He recently left Gartner where as a Research Director he covered architecture for healthcare modernization - state HHS agencies, providers and payers.
Currently Dave collaborates with a team of Ciber experts, business partners and research centers to simplify the path to practical use of big data analytics. For example, patient readmission for providers, and outcomes based patient treatment program efficacy for payers.
Previously Guevara has worked from board room to shop floor and managed, invested and/or architected in every part of the technology life cycle from ideation to asset retirement. Early in his career he was a R&D engineer in medical ultrasound and aerospace and holds 1 patent from that period with a 2nd filed patent.
Manager of Database and EDI
New Directions Behavioral Health (NDBH)
Director of Healthcare Solutions
TOPIC: Why is Master Data Management so hot in Healthcare and how is it being utilized?
This session will provide an overview of emerging business requirements in the Healthcare industry that are the result of the Affordable Care Act. It will review how Master Data Management is helping Healthcare organizations address these business challenges and will present a case study of how New Directions uses Master Data Management.
About Mark Duman:
Mark Duman is the Manager of Database and EDI for New Directions Behavioral Health (NDBH). Mark leads the SQL Server Database Development team designing and developing guidelines and project workflows; researching and implementing programming techniques and team assistance and control; architecting and developing core Electronic Data Interchanges and Enterprise Data Warehouse components of both server and client applications for internal usage as well as for customers and other trading partner's usage.
Mark has distinguished himself by directing and training a team of IT personnel and software engineers and serving as Application Manager & Developer for NDBH proprietary software. Mark has been in the healthcare industry for the past 13 years with 28 years of IT experience. Currently Mark and a dedicate team of IT professionals working with Master Data Services and Profisee are mastering over 7 million records to find the "Golden Record" and streamline business processes. Mark received a B.S. in Computer Science from the University of Kentucky.
About Al Bissmeyer:
Al Bissmeyer is the Director of Healthcare Solutions for Profisee and is working with leading Healthcare providers to address emerging business challenges that are resulting from new requirements mandated by the Affordable Care Act and economic pressures. Some of these include a 360 view of the customer (member, patient, person), HL7 & ICD10 compliance, facilities management, continued training, referral management, provider resource management, patient re-admittance and meaningful use. He has been immersed in the technology industry for 25 years and has won a number of business awards for technology implementations. Over the last several years, he has shifted his focus from the High Tech Industry to Healthcare and has become a trusted advisor within the Healthcare industry in both the payer and provider spaces.
Mary Jo Morrison
CEO and a founding partner
DTA Associates, Inc
Founding partner, specializes in data warehousing and business intelligence
DTA Associates, Inc
TOPIC: It Takes a Village: Leveraging Your Existing Resources to Build a Business Intelligence Competency
There's no way around it: the good people in analytics, reporting, and data warehousing departments in the healthcare provider industry are getting hit on all sides these days. On the positive side, there is an increased focus on measuring clinical quality with the intent to produce real quality improvement proved by real data. This increased focus is coming from both outside the organization, in the form of additional reporting requirements from the usual suspects (CMS, JCAHO, state organizations), and from inside the organization as clinician-led teams are being empowered and supported to make improvements to clinical quality. All of this is good for the patient, and all of this requires more and more data to measure the outcomes of these efforts. And it's not just raw data that is needed, but complex calculated metrics that blend information from multiple clinical and administrative systems. So more demands are piled on already overburdened teams.
On the negative side, there is increasing pressure on departments in most healthcare provider organizations to trim budgets or at least stay budget neutral due to shifting patient volumes and falling reimbursement rates. So how do data and analytics departments handle the increased demand with the same or fewer resources? How do we do more with less?
This session intends to answer that question by recommending approaches to becoming more efficient and effective on both the demand side (organizational goals and strategies) and the supply side (the delivery) of business intelligence. Specific topics include aligning incentives with goals, getting staff into the right roles, and multiplying EDW maturity by pushing the development of the EDW out beyond the EDW team.
About Mary Jo Morrison:
Mary Jo Morrison is the CEO and a founding partner of DTA Associates, Inc. a health care consulting firm that specializes in quality transformation, strategic analytics, performance improvement (quality, safety, affordability and patient experience) and data warehousing. Prior to joining DTA, Mary Jo served as Allina Health's Vice President of Allina Performance Resources, which provided strategic, clinical and operational information to support data-driven decision making. She was responsible for system-wide goal setting, Epic and regulatory reporting, clinical analysis, and safety and performance improvement. Her team played a key role in improving the quality of care within Allina through partnerships with physicians and caregivers. Mary Jo has also provided consultative services at VHA Upper Midwest and Deloitte and Touche within the areas of comparative information services and performance improvement. She has an MBA from the University of St. Thomas, is Lean certified, and is a graduate of the Intermountain Health Care Advanced Training Program.
About Kevin Campbell:
Kevin Campbell is also a founding partner of DTA Associates, and he specializes in data warehousing and business intelligence. Kevin is currently leading the development of an enterprise data warehouse at a large hospital and clinic system, and has conducted strategic EDW assessment work for other clients as well. Prior to joining DTA, Kevin was the lead data architect of the Enterprise Data Warehouse at Allina Health with specific focus in the areas Core Measures, oncology clinical improvement, professional billing, and patient satisfaction. Prior to Allina Kevin worked for Deloitte Consulting on analytics projects across multiple industries. He is Lean certified and has a Black Belt in Six Sigma.
Sr. Principal, Healthcare Data Scientist
Sr. Principal, Healthcare Analytics
TOPIC: Leveraging Risk Adjustment for Competitive Advantage in the Post ACA World?
The massive disruption caused by ACA positions Risk Adjustment as a cornerstone of Health Care Transformation.
In this new risk adjusted world of commercial healthcare, have you considered how payment models can be aligned between providers and insurers, evaluated best practices in risk stratification?
What is the best determinant of an individual's health condition? How can external data sources improve your BI outcomes? What does that mean for population management and our public health programs?
Are care management strategies and programs in alignment with the associated risk scores? Are physicians accurately coding their claims to ensure the most complete inputs to the risk models?
Do you have an analytic culture that can take maximum advantage of new analytic insights?
You will learn,
- How Deep Analytics improves understanding of risks, identify best practices through examination of variation and improve communications among stake holders.
- How administrative, clinical and patient data can be organized beyond single claims or episodes of care.
- How to characterize inputs and processes of care to discover who is at risk and which interventions are effective.
- How to lower the cost of asking the wrong question of your BI Environment.
- Determining the right goals and action plans to achieve measureable success.
About Walter Linde-Zwirble:
Walter Linde-Zwirble has 20+ years in health outcomes and data science, with more than 35 peer reviewed publications and more than a hundred presented research abstracts. He has analyzed and modeled most aspects of healthcare delivery across all healthcare industry segments and has developed health state measures and prognostic measures for improved communication between stakeholders. He has experience simulating the Medicare payment system and calculation of cost-to-charge ratios and modeling the impact of managed care on hospital outcomes.
About Ngan MacDonald:
Ngan MacDonald has 15+ years experience in healthcare and information services and is an experienced health care professional with broad knowledge of health care reform, information strategy and business transformation. She has a deep understanding of how to use analytics and information to drive business outcomes and support enterprise strategy. In addition, she has led projects in enterprise information management, business intelligence, metadata management, information governance and stewardship, healthcare analytics, and enterprise performance metrics.
Director of Business Intelligence
San Francisco Health Plan
Laura Madsen, MS
BI Evangelist and Healthcare Services Lead
TOPIC: None to Done: SFHP harnesses the power of dashboards in 10 weeks!
San Francisco Health Plan (SFHP) started 2013 with a big goal, accelerate their BI efforts. SFHP was created to provide high quality medical care to the largest number of low- to medium-income San Francisco residents. Their reporting responsibility was being impacted by the sea of change surrounding the Affordable Care Act and its implementation. In-depth reporting and data accuracy was becoming exponentially more critical to SFHP in light of Medi-Cal's expansion.
With a recent purchase of MicroStrategy, SFHP began a 10-week project towards a set of dashboards that would serve a variety of audiences. In this session Lancet and SFHP will discuss the project's aggressive timeline, goals, lessons learned and the next phase of SFHP's BI journey.
About Annette Angelini:
Annette Angelini is Director of Business Intelligence for San Francisco Health Plan (SFHP), a licensed community health plan that provides affordable health care coverage to low income families in San Francisco, CA. She built and leads a talented team of senior business analysts with expertise in clinical, financial and health care business analytics. She is the business lead for SFHP's MicroStrategy Implementation and her team is leading several of the KPI and data quality tracks within that project. She chairs the Data Governance Committee, comprised of Directors and Senior Managers representing business units and IT Services. BI and IT team members also serve on a Data quality team, focusing on specific solutions for data issues.
Over 20 years of data and analytic experience in the health care provider, plan and management services sides of the industry has given her a wide breadth of health care system and data knowledge. Annette's passion is quality data and her mission is to build a comprehensive business intelligence program. She believes a key component of BI is to provide thorough, descriptive, visually impactful analyses to provide insight into a business subject or question.
Her prior roles included managing Analytical Services departments and building a reporting system for two programs in a children's hospital. She holds a B.S. in Health Care Management and is a certified Project Management Professional.
About Laura Madsen:
Founder of the Healthcare Business Intelligence Summit, international keynote speaker on Healthcare BI, and author of the book, Healthcare Business Intelligence: A Guide to Empowering Successful Data Reporting and Analytics [Wiley Publishing, 2012], Laura Madsen brings more than a decade of experience in BI and data warehousing for healthcare as well as a passion for engaging and educating the BI community. During her career, she has initiated and supported dozens of BI initiatives and worked with more than 50 health plans.
Laura leads the Healthcare Practice for Lancet, a leading BI consulting firm headquartered in Minneapolis, Minnesota. At Lancet, she spearheads strategy and product development for the healthcare sector and works with key accounts across the country in the provider, payer, and healthcare manufacturing markets.
In 2006, Laura co-founded the Twin Cities chapter of The Data Warehouse Institute (TDWI). She is also a member of the American College of Healthcare Executives (ACHE), a frequent contributor to the Healthcare Channel on the BeyeNETWORK, healthcare and BI blogger at Lancet.