2013 Healthcare BI Summit Half-day Workshops
Last year we heard a lot of our attendees say "The content is great, but I need more depth!" As a result, this year the Healthcare Business Intelligence Summit is adding workshops to our agenda. Two half-day workshops will focus on tangible efforts to get analytics up and running in your organization. These workshops are co-located with the Healthcare BI Summit and allow you to attend one and still attend the Summit or attend both of the workshops at a discounted rate.
TOPIC: Developing an Analytics Strategy for Healthcare Quality and Performance Improvement
Workshop Presenter: Trevor Strome, MSc, PMP
Analytics hold great promise to transform health care. To achieve increasingly aggressive quality and performance goals driven by financial, legislative, and patient safety requirements, health care leaders must gain a deeper insight into the performance of an organization through the use of analytics. But analytics is more than simply applying various analytical tools, techniques, and technology to ever-growing volumes of health care data. Unfortunately, even with more data, more indicators, more reporting, and more dashboards, attaining health care improvement goals are not automatic.
This workshop will provide healthcare decision-makers, analysts, and improvement specialists with a strategy development and execution framework that will immediately improve analytics effectiveness and return-on-investment within your health care organization. This workshop will provide the tools and skills necessary to develop analytics strategies that fits the quality and performance improvement needs of your health care organization.
Specifically, you will learn to:
- Identify the critical inputs, key components, and other considerations necessary for a comprehensive analytics strategy
- Ensure the proper data, skills, technology, and management approaches are in place to achieve the goals of the organization
- Leverage existing strengths, improve on current weaknesses, address gaps, and plan for future analytics requirements
- Develop an evaluation plan to measure the success and impact of your strategy, and perform any necessary mid-course corrections
- Maintain focus on and successfully execute the analytics strategy to achieve maximum return of investment on analytics (in spite of ongoing distractions) and achieve the desired business and clinical outcomes.
About Trevor Strome, MSc, PMP:
Trevor Strome, MSc, PMP has nearly two decades of healthcare informatics and analytics development experience. In his current role at the Winnipeg Regional Health Authority, Trevor leads the development and implementation of innovative analytics tools for use in healthcare quality and performance improvement initiatives. He is also Assistant Professor with the Department of Emergency Medicine, Faculty of Medicine, University of Manitoba, where he participates on clinical and operations research projects and lectures on statistics, informatics, and quality improvement. Trevor has co-authored three book chapters and numerous articles on various healthcare-related topics, and is the author of "Healthcare Analytics for Quality and Performance Improvement", to be published by John Wiley & Sons Inc., in the fall of 2013.
Having obtained undergraduate training in computer science and neuroscience, and graduate training in Epidemiology, Trevor has broad experience in health informatics implementation, healthcare quality improvement, and healthcare analytics development. In addition to achieving Project Management Professional (PMP) certification, Trevor also has advanced certifications in both Lean and Six Sigma. Trevor has been involved in the successful commercialization of health informatics technology, including an Emergency Medical Services data system launched in cooperation with the University of Alberta and other commercial partners. An in-demand speaker on the topic of healthcare analytics, Trevor has shared his unique experience and insight with audiences throughout North America and around the world.
TOPIC: Big Data Analytics for Healthcare
Workshop Presenters: Jaideep Srivastava, Ph.D. and Prasanna Desikan, Ph.D.
Healthcare, like all fields today, is experiencing an explosion of Big Data, which is creating its antecedent challenges and opportunities. This data is a potential source of rich knowledge, which can fundamentally impact all kinds of processes in various players in the space, including providers, payers, and beneficiaries, at the organizational and individual levels. Big Data Analytics for healthcare, which is the application of a suite of techniques and processes to enable the extraction of actionable knowledge from healthcare Big Data, is an emerging area with great opportunities for research and practice that has the potential for transformative effect. This workshop will focus on three key issues. First we describe the opportunities for analytics in various parts of the healthcare ecosystem. Next, we present a number of case studies which illustrate this potential. Finally, we discuss why healthcare analytics may prove to be even more important in the new healthcare regulatory scenario.
Specifically, the following case studies will be discussed:
- Predictions of potentially preventable events (PPEs) and potentially preventable readmissions (PPRs) in a hospital/clinical setting, which can improve on the metrics of both cost and quality of care, which is critical in the new regulatory environment
- Predicting likely patient outcomes of different treatment choices for a commonly occurring condition such as uterine fibroids, in which significant amount of past history is available to draw inferences from
- Predicting suitability of various treatment choices for a rarer and more significant condition such as bone marrow transplant for leukemia, where genetic information can be combined with more traditional patient information to yield high quality results
- Use of handheld devices and video games, which capture cognitive as well as motor performance data, to automatically diagnose executive deficit disorders leading to conditions such as ADHD, Autism, and depression
- Use of social media analytics to understand risky adolescent behavior
About Jaideep Srivastava, Ph.D.:
Jaideep Srivastava is a Professor of Computer Science & Engineering at the University of Minnesota, where he directs a laboratory focusing on research in Web Mining, Social Media Analytics, and Health Analytics. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), has been an IEEE Distinguished Visitor, and is a Distinguished Fellow of Allina's Center for Healthcare Innovation. His research has received 6 best paper awards, and he has been awarded the Distinguished Research Contributions Award of the PAKDD, for his lifetime contributions to the field of data mining. Dr. Srivastava has significant experience in the industry, in both consulting and executive roles. He has led a data mining team at Amazon.com, built a data analytics department at Yodlee, and served as the Chief Officer for Technology at Persistent Systems. Dr. Srivastava is the Co-Founder and CTO of Ninja Metrics, which brings his research in social analytics to the commercial world, and is Adviser and Chief Scientist of CogCubed, an innovative company whose goal is to revolutionize the diagnosis and therapy of cognitive disorders through the use of games with a purpose (GWAP). Dr. Srivastava has held distinguished professorships at Heilongjiang University and Wuhan University, China. He has also held advisory positions with the State of Minnesota, and the State of Maharashtra, India. He's a technology adviser to the Unique ID (UID) project of the Government of India, whose goal is to provide biometrics-based social security numbers to the 1.2 billion citizens of India. He has a Bachelors of Technology from the Indian Institute of Technology (IIT), Kanpur, India, and MS and PhD from the University of California, Berkeley.
About Prasanna Desikan, Ph.D.:
Dr. Prasanna Desikan is currently Senior Research Scientist at Center for Healthcare Research and Innovation, Allina Health. Previously he worked in Boston Scientific on advanced remote patient monitoring system. Prior to that, he worked as a Senior Researcher for Infobionics Inc, based in Eden Prairie, Minn., where he was actively involved in developing a novel Cellular Database Management System. His current research focus is on applying data mining and social network analysis techniques on healthcare data for improved care delivery and population health. He has given invited talks on these efforts at MinneAnalytics conference (2012), Healthcare BI Summit (2012). He has co-organized a tutorial on Data Mining for Healthcare Management at SDM 2011, PAKDD 2011, and Health Informatics, Imaging and Systems Biology Conference (HISB), 2011. He has been a co-organizer for workshops on Data mining for healthcare management at ICHI 2013 and PAKDD (2010 to 2013). He received his Ph.D and M.S in Computer Science from University of Minnesota, Twin Cities, USA.