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TRANSFORMING HEALTHCARE: VALUE, POPULATIONS, AND DATA


Track: Population Health

Course: Population Health Policy  8 hours 

Description: This course is designed to explain the changes to the healthcare system that are emerging as a result of a shift in focus from the individual patient to the population. Developed by leaders at Johns Hopkins with direct responsibility for population care and by researchers in population health, the course starts with a general introduction to population health and then segues to the practicalities of population health management at the business and policy level, including how to know what works. 


Learning Objectives:

  1. Describe new models of care for population health and the role of payment reform in the context of population health and accountable care, and explain the challenges of chronic care management in populations while analyzing the ways that health IT can be used for effective population management.
  2. Discuss and interpret the key financial drivers in the U.S. health care systems and their implications on population health and IT challenges going forward.10.  Discuss the research processes by which population health IT solutions bring about change and the environmental/organizational contexts within which they work best.


Course: Population Health Data Analytics  9 hours

Description:This course is designed to provide learners with the core knowledge to identify the specific types of data used in the course of population health management, from billing through clinical through population. Developed by a faculty member at Johns Hopkins who deals with data sets with billions of elements for organizations across the country, the course starts with a general introduction to population health and then goes through the data types, data sources, and core processes of working with these data.


Learning Objectives:

  1. Identify various data sources used for population health management, including both traditional and nontraditional data sources, and examine how data quality affects population health analytic.
  2. Identify challenges in using population health data sources and describe the conceptual and practical challenges of developing population health analytic methods.


Course: Population Health Interventions   11 hours

Description:This course is designed to provide learners with the core knowledge and skills to using the data gathered in a population health context to improve the health of that population. Developed by leaders at Johns Hopkins with direct responsibility for population care and by researchers in population health, the course starts with a general introduction to population health and then segues to the calculation of clinical risk, to the use of that calculation, and to the context of health IT. 


Learning Objectives:

  1. Explain perspectives related to the concept of “risk” measurement and segmentation within the population health context, and
    explore developing frontiers in the population-based predictive- modeling field.
  2. Describe the population health data necessary for segmenting into risk cohorts, and explain the processes and key decision
    points by which interventions are prioritized for segments of the population.
  3. Explore the frameworks relevant to the concept of population health at the community level.
  4. Identify population health programs’ key constituents; compare behavior change models; evaluate individual, organizational, and
    community-level behavior change interventions’ designs; and recognize and relate health IT’s capabilities, users, and purposes.


Track: Healthcare Data Analytics 

Course: Understanding Healthcare Data Analytics    8 hours 
Description: This course is designed to provide people working in the healthcare industry (and those closely tied to the work of healthcare) a strong, practical understanding of data analytics. Learners will gain an understanding the importance of healthcare data analytics and how to apply their knowledge of analytics to every-day activities. The course will take learners through a number of data analytics exercises which represent real-life healthcare scenarios and show how to use Microsoft Excel to work with data. In addition, the course explains best practices in displaying data so that it is useful to various end-users. Finally, the course provides an overview of how analytics plays an important role in risk adjustment and predictive modeling, two of the foundations of value-driven care. 

Learning Objectives:

  1. Describe different types of data generated in health care
  2. Describe best practices for communication of data analysis results
  3. Identify limitations and challenges of re-using clinical data
  4. Use Microsoft Excel as a tool for data analytics, and demonstrate the ability to
    1. Describe reasons why data needs to be cleaned or modified before analysis
    2. Identify and correct basic errors in data
    3. Perform descriptive statistics
    4. Use pivot tables
    5. Describe the relationship between a database in a health IT system and data analysis tools
    6. Conduct a data re-use analyses for healthcare quality measurement utilizing a sample data set


Course: Clinical Data Analytics and the Learning Health System     9.5 hours 
Description: This course is designed to provide healthcare professionals who have a grounding in healthcare analytics with insight into the clinical context and use of data, best practices and advanced concepts in healthcare data analytics.  The course includes practical exercises which represent real-life healthcare scenarios. It covers important privacy concerns, and current topics of interest, including machine learning, natural language processing, learning health systems, and usability.
There is no required prerequisite, but learners are strongly advised to complete Understanding Healthcare Data Analytics first.

Learning Objectives:

  1. Describe the current state of data analytics in clinical settings, particularly the role that data analytics plays in value-based payment systems
  2. Identify key tools and approaches to improve analytics capabilities in clinical settings.
  3. Describe different governance and operations strategies in analytics in clinical settings.
  4. Analyze data used in population management and value-based care systems
  5. Describe ethical considerations in risk adjustment and population management 


Track: Value-Based Care

Course: Business of Value-Based Care      8 hours

Description: This course provides a foundational understanding of the core concepts of healthcare reform and will help learners understand the impact value-based care (VBC) will have on their day-to-day work. The course includes an explanation of the issues with value in US healthcare system, then moves into providing insight into the laws, regulations, and changes to care delivery models that will result from the VBC initiative. New payment models: ACOs, MSSPs, as well as the merit-based incentive payments system for clinics and the potential for penalties are covered in depth. This course also explains how VBC might impact many other aspects of healthcare delivery, including operations, customer service, patient satisfaction, and financial sustainability.


Learning Objectives:

  1. Describe the problem with value in US healthcare.
  2. Define the broad strategy (the Triple Aim) that provides a way forward.
  3. Describe how Value-Based Care (VBC) is designed to meet the Triple Aim
  4. Describe new payment models, including ACOs, Bundled Payments, and Incentive payments
  5. Explain important details of the laws and regulations that establish VBC.
  6. Identify the elements of healthcare IT required to meet the measurement and reporting standards of VBC
  7. Articulate concerns raised by VBC and how the ACO model addresses those concerns


Course: Applications of Value-Based Care     7 hours

Description: This course is designed to educate individuals working in the healthcare industry (and those closely tied to the work of healthcare) on how the massive change known as value-based care (VBC) will affect care delivery, quality measurement and improvement and finally, how VBC affects the need to engage consumers and measure consumer satisfaction.  


Learning Objectives:

  1. Define care management and explain why it is central to VBC
  2. Delineate opportunities for improved care management that can result from redesigned workflows, improved communication, and effective use of Health IT
  3. Describe challenges of care transitions and define mitigating interventions and tools
  4. Describe the importance of quality and safety in VBC
  5. Identify techniques to link performance assessment with episodes of care
  6. Use the basics of quality improvement methods to implement quality improvement initiatives in a healthcare organization
  7. Define consumer engagement
  8. Explain the importance of consumer engagement to VBC
  9. Describe how consumer satisfaction is measured in healthcare today

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Course: Negotiating Contracts for Value-Based Care     2 hours

Description: This course will provide an overview of alternative payment model (APM) contracts by describing their general elements, covering how risk calculations can impact APMs, and describing the information required for successful contract negotiation.  


Learning Objectives:

  1. Discuss general elements of alternative payment model contracts
  2. Articulate how risk calculations can impact contracts
  3. Outline essential data elements and uses during negotiations

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Step 1: Select | Step 2: Register| Step 3: Prepare | Step 4: Begin


Step 1: Select a course 

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Step 4: Begin the course

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