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Healthcare Data Stewardship: The Key to Going from Information Poor to Information Rich

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Poor healthcare data stewardship is part of the problem for health systems that feel like they are “data rich and information poor.” But this can be fixed two ways: implementing a data warehouse and improving data stewardship. Without appropriate healthcare data stewardship, even the best infrastructures become underutilized and poorly understood by knowledge workers who could be generating value with the data every day. Data stewards will become critical partners to the data warehouse team in creating a thriving user base. They are the data librarians who advise and guide users, and help them get the most value out of the enterprise data warehouse.

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Healthcare Data Stewardship: The Key to Going from Information Poor to Information Rich

  1. 1. Healthcare Data Stewardship: The Key to Going from Information Poor to Information Rich By Eric Just © 2014 Health Catalyst www.healthcatalyst.com Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. © 2014 Health Catalyst www.healthcatalyst.com Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  2. 2. “We are data rich and information poor.” © 2014 Health Catalyst www.healthcatalyst.com Data vs. Information We hear this often from health systems with years of data collection and have terabytes of stockpiled data. There are two key components to turning that data into information. 1. Ready access – Using a solid a healthcare analytics system to provide access and accountability 2. Good healthcare data stewardship Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  3. 3. © 2014 Health Catalyst www.healthcatalyst.com Healthcare Data Stewardship Data stewardship is the aspect of healthcare data governance that focuses on providing the appropriate access to users, helping users to understand the data, and owns the data quality. With poor data stewardship even the best infrastructures become underutilized and poorly understood by knowledge workers who could be generating value from the data every day. Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  4. 4. Who Should be the Data Steward? © 2014 Health Catalyst www.healthcatalyst.com Because no single person can know everything about every system, it’s best to have many data stewards — at least one for every major source of data in the organization. The best person to perform this role is the person who knows the most about how and why the data is collected in each of the various source systems. Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  5. 5. © 2014 Health Catalyst www.healthcatalyst.com Data Steward Tools for Success Once you’ve identified who should become data stewards, there are a few things they will need to succeed. First, make sure there’s a good data warehouse architecture. This will promote good data stewardship because it will eliminate the fragmented data systems. A centralized data warehouse delivers a single reporting platform and point of entry into an organized repository of data. Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  6. 6. © 2014 Health Catalyst www.healthcatalyst.com Data Steward Tools for Success Provide the data stewards with a solid set of metadata tools. These tools will allow stewards to share their knowledge about the data mart or marts they are responsible for. Metadata tools that allow data stewards and users to create and edit descriptions for objects in the data warehouse provide this forum and will aid in creating a self-sufficient data warehouse user community. Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  7. 7. © 2014 Health Catalyst www.healthcatalyst.com Creating Long-term Value using Data Stewardship Once the data is unlocked in an EDW, the best way to create long-term value is to have a thriving user base. Data stewards are critical partners to the data warehouse team in creating the user base. They are the data librarians who advise and guide users, and help them get the most value out of the EDW. Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  8. 8. Data Warehouse Tools: Faster Time-to-Value for Your Healthcare Data Warehouse Doug Adamson, Vice President and Chief Technical Officer © 2014 Health Catalyst www.healthcatalyst.com More about this topic 7 Essential Practices for Data Governance in Healthcare Dale Sanders, Senior Vice President, Strategy 6 Reasons Why Healthcare Data Warehouses Fail Steve Barlow, Co-Founder and Senior VP of Client Ops Five Reasons Healthcare Data Is Different Dan LeSueur, Technical Director It All Starts with a Data Warehouse: A Detailed Technical Overview Dale Sanders, Senior Vice President, Strategy Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  9. 9. © 2014 Health Catalyst www.healthcatalyst.com For more information: Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  10. 10. Other Clinical Quality Improvement Resources © 2013 Health Catalyst www.healthcatalyst.com Click to read additional information at www.healthcatalyst.com Eric Just joined the Health Catalyst family in August of 2011 as Vice President of Technology, bringing over 10 years of biomedical informatics experience. Prior to Catalyst, he managed the research arm of the Northwestern Medical Data Warehouse at Northwestern University's Feinberg School of Medicine. In this role, he led the development of technology, processes, and teams to leverage the clinical data warehouse. Previously, as a senior data architect, he helped create the data warehouse technical foundation and innovated new ways to extract and load medical data. In addition, he led the development effort for a genome database. Eric holds a Master of Science in Chemistry from Northwestern University and a Bachelors of Science in Chemistry from the College of William and Mary.

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