Classes (7)
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Amy Cueva, CEO of Mad*Pow, and Matthew Holt, Co-Chairman of Health 2.0 partner to teach �Driving Consumerism Digitally� a course focused on the growing role of digital technology in motivating health care consumerism. Together Cueva and Holt will address market trends in relation to digital technology, identifying technical breakthroughs that have challenged and changed the global and local health technology markets, and examine how technology innovation can and should change the landscape of our health care system. This course offers a unique opportunity to combine the insights of Amy Cueva, who has spent her career developing and designing successful technology innovation for consumers, and Matthew Holt, who is a loud and proud health care consumer advocate, researcher, writer, and expert in the field of health technology.
Jane Sarasohn Kahn brings her extensive and varied experience in health care to her course �Health Care Costs and Consumerism.� In this educational webinar Jane will discuss and analyze the rising health care costs experienced within our system and how the changing role of the consumer can impact these costs. Health care costs per capita have reached enormously high prices and our system is having an increasingly difficult time managing these costs. Recently, we have seen technology encourage a more transparent health care system and more engaged consumer. In order to ensure the Health 2.0 community has the most up to date information, Jane will be providing a detailed definition of health care consumerism, identifying the market drives behind the growth of consumerism in health care, the implications for increased health care consumerism in our health care system, and she will share her market forecasts for the next 5 years of health consumerism.
Graph Theory can be applied to networks of doctors and hospitals in order to improve care coordination and protect profits. This course will go over the basic concepts of graph science, with the intention of applying the concepts to the DocGraph data set. Learning Points: Understand notions of centrality and graph traversal. Understand influence patterns Understand what a network motif is and why you would want to search for them Understand how to translate healthcare issues to solvable graph problems.
In this class Aman Bhandari and Dr. Tom Tsang will address how two recent major legislative actions, HITECH and the Affordable Care Act, are impacting the use of data in health care. Aman and Tom will draw from their extensive work inside both government and the private sector to describe how the two are simultaneously using data to drive cost savings and open new HIT markets via greater transparency. In addition they will share their vision for data partnerships at Merck and discuss how data is changing the pharmaceutical industry business model. The learning objective of this class will be to: 1. Review the data linkages between HITECH and the ACA and how both together are creating a health data ecosystem 2. Distill the "big" data related provisions in the ACA 3. Discuss the evolution of one of the most data related critical aspects of this legislation called quality measures and how this is tied to payment In this online course series from Health 2.0, four leading industry experts will teach how new applications of big data are transforming their corner of health care. This is an opportunity to gain practical insights on how to use data intelligently and think about it strategically in your particular area of disruption. Each class is 60 minutes followed by 30 minutes of Q&A. Each class is live, interactive, and personal, and takes advantage of Learn It Live's cutting edge virtual classroom platform. This course is for entrepreneurs, executives, data scientists, and clinical leaders. Sign up now!
In this class George Mathew will explain how to use data blending and predictive modeling to improve health care consumer satisfaction. Specifically, he will review how to manipulate behavioral data for consumer targeting, when and where to use predictive modeling and forecasting in large data sets, and how to manage sensitive health data and compliance issues. George brings his extensive career history in successfully translating data analytics and modeling into business strategies to bear in this class. The learning objectives for students taking this class are: � Understand two keystone big data use cases in health care � Illustrate where segmentation and targeting are most effectively used in consumer industries � Learn where data blending and predictive analytics are integral to big data (and where they are not) In this online course series from Health 2.0, four leading industry experts will teach how new applications of big data are transforming their corner of health care. This is an opportunity to gain practical insights on how to use data intelligently and think about it strategically in your particular area of disruption. Each class is 60 minutes followed by 30 minutes of Q&A. Each class is live, interactive, and personal, and takes advantage of Learn It Live's cutting edge virtual classroom platform. This course is for entrepreneurs, executives, data scientists, and clinical leaders. Sign up now!
In this class expert datastician Cathie Markow will discuss where big data and the rising trend of health care consumerism can intersect to improve health outcomes and save money in the health care system. Specifically, she will describe the environmental factors - political, financial and social - that are driving consumerism in health care and she will address where big data can be leveraged to provide consumers with better quality pricing and information to create transparency in the market. Finally, she will discuss how big data is offering businesses new ways of engaging consumers. Cathie is a leading industry expert in data, quality improvement, and health systems analysis. Learning objectives for students this class are: � Understand the environment that is driving the need for consumers to engage actively in managing their health care � Understand the data needs and challenges of providing health care pricing and quality information to consumers In this online course series from Health 2.0, four leading industry experts will teach how new applications of big data are transforming their corner of health care. This is an opportunity to gain practical insights on how to use data intelligently and think about it strategically in your particular area of disruption. Each class is 60 minutes followed by 30 minutes of Q&A. Each class is live, interactive, and personal, and takes advantage of Learn It Live's cutting edge virtual classroom platform. This course is for entrepreneurs, executives, data scientists, and clinical leaders. Sign up now!
In this class Fred Trotter will provide a baseline explanation of what big data is in the context of the health care system, as well as a basic framework for modeling health care effectively. Specifically, he will demonstrate how to model the health care system using a graph, and will explain how to use a graph to elucidate patterns, to examine interoperability, and to analyze and predict operational trends in the coordination of care both across groups and within ACO�s. Fred is renown for his singular expertise in data visualization, modeling, and open source security. Learning objectives for students taking this class are: � What is big data? The reasons to avoid big data sets and tools (and some reasons to embrace them). � How to and how not to model the health care system � The ethical issues surrounding using big data on doctors and patients In this online course series from Health 2.0, four leading industry experts will teach how new applications of big data are transforming their corner of health care. This is an opportunity to gain practical insights on how to use data intelligently and think about it strategically in your particular area of disruption. Each class is 60 minutes followed by 30 minutes of Q&A. Each class is live, interactive, and personal, and takes advantage of Learn It Live's cutting edge virtual classroom platform. This course is for entrepreneurs, executives, data scientists, and clinical leaders. Sign up now!