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Health data stewards are keepers of tribal knowledge, and they’re invaluable when a health system launches or expands a healthcare data analytics initiative. Their intimate and expansive knowledge of how data is collected to represent workflow across different systems can save days’ worth of time (and cost) in the development process while improving the accuracy of the analytics output. But getting anything more than a few spare moments of their time can be difficult because health data stewardship isn’t part of their job description. While it may seem difficult to justify at first, organizations need to formalize the role of the health data steward. The investment will ultimately return many times its value as the organization realizes the advantage of the analytics.
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—Eric Just
Healthcare Data Stewardship: The Key to Going from Information Poor to Information Rich
© 2014 Health Catalystwww.healthcatalyst.comProprietary. Feel free to share but we would appreciate a Health Catalyst citation.
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
“We are data rich and information poor.”
© 2014 Health Catalystwww.healthcatalyst.comProprietary. Feel free to share but we would appreciate a Health Catalyst citation.
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.
© 2014 Health Catalystwww.healthcatalyst.comProprietary. Feel free to share but we would appreciate a Health Catalyst citation.
Who Should be the Data Steward?
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.
© 2014 Health Catalystwww.healthcatalyst.comProprietary. Feel free to share but we would appreciate a Health Catalyst citation.
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.
© 2014 Health Catalystwww.healthcatalyst.comProprietary. Feel free to share but we would appreciate a Health Catalyst citation.
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.
© 2014 Health Catalystwww.healthcatalyst.comProprietary. Feel free to share but we would appreciate a Health Catalyst citation.
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.
© 2014 Health Catalystwww.healthcatalyst.comProprietary. Feel free to share but we would appreciate a Health Catalyst citation.
More about this topic7 Essential Practices for Data Governance in HealthcareDale Sanders, Senior Vice President, Strategy
6 Reasons Why Healthcare Data Warehouses FailSteve Barlow, Co-Founder and Senior VP of Client Ops
Five Reasons Healthcare Data Is DifferentDan LeSueur, Technical Director
It All Starts with a Data Warehouse: A Detailed Technical OverviewDale Sanders, Senior Vice President, Strategy
Data Warehouse Tools: Faster Time-to-Value for Your Healthcare Data WarehouseDoug Adamson, Vice President and Chief Technical Officer
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Healthcare Data Stewardship: The Key to Going from Information Poor to Information Rich
© 2014 Health Catalystwww.healthcatalyst.comProprietary. Feel free to share but we would appreciate a Health Catalyst citation.
For more information:
© 2013 Health Catalystwww.healthcatalyst.com
Other Clinical Quality Improvement Resources
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.
