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3 Phases of Healthcare Data Governance 
in Analytics 
By Mike Doyle 
© 2014 Health Catalyst 
www.healthcatalyst.com Propri...
Show the challenges involved with adaptive healthcare data governance 
Show the challenges involved with adaptive healthca...
The specification of decision rights and an accountability 
framework to ensure appropriate behavior in the valuation, 
cr...
© 2014 Health Catalyst 
www.healthcatalyst.com 
What Data Governance Is 
Because leadership buy-in is 
so important, the f...
Stakeholders must understand 
how important it is to ensure 
the right group of leaders is 
engaged in the governance of 
...
Few health systems claim to have 
figured out effective healthcare data 
governance. 
One difficulty is that no single 
te...
In General there are three phases 
of adaptive data governance that 
characterize successful analytics 
implementations. 
...
1 
Committee Makeup 
In the early stages of planning sponsors of the health system’s data 
governance initiative must have...
1 
Committee Focus 
Some of the most important questions this group will address are: 
© 2014 Health Catalyst 
www.healthc...
© 2014 Health Catalyst 
www.healthcatalyst.com 
The Mid-Term Stage of 
Healthcare Data Governance 
2 
Committee Makeup 
As...
2 
Committee Focus 
At this phase the committee will begin to implement the solution in 
new areas of the enterprise. You ...
3 
Council Makeup 
In this stage, the data governance committee may want to start 
calling itself something more interesti...
© 2014 Health Catalyst 
www.healthcatalyst.com 
The Steady State of Healthcare 
Data Governance 
3 
Council Makeup 
The mo...
© 2014 Health Catalyst 
www.healthcatalyst.com 
The Steady State of Healthcare 
Data Governance 
3 
Council Focus 
If the ...
© 2014 Health Catalyst 
www.healthcatalyst.com 
The Steady State of Healthcare 
Data Governance 
3 
Council Focus 
At this...
These metrics should stay solid, or trend 
upwards in rare cases: 
• Technology/analytics team satisfaction 
These metrics...
At various points in the lifecycle 
of the project, you may be 
tempted by the simplicity of a 
“one size fits all” framew...
© 2014 Health Catalyst 
www.healthcatalyst.com 
More about this topic 
7 Essential Practices for Data Governance in Health...
© 2014 Health Catalyst 
www.healthcatalyst.com 
For more information: 
Proprietary. Feel free to share but we would apprec...
Other Clinical Quality Improvement Resources 
© 2013 Health Catalyst 
www.healthcatalyst.com 
Click to read additional inf...
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3 Phases of Healthcare Data Governance in Analytics

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Healthcare data governance is a broad topic and covers more than data stewardship, storage, and technical roles and responsibilities. And it’s not easy to implement. It’s necessary, though, for health systems that are entering the world of analytics because the governance structure will enable the organizations to drive higher-quality, low cost care. In order for healthcare data governance to be most effective however, it needs to be adaptive because real healthcare data governance is much more fluid than any plan laid out on paper. Typically there are three phases that characterize successful analytics implementations: the early stage, the mid-term stage, and the steady state. As health systems begin to determine the effectiveness of their data governance strategy, it’s important to look at key metrics from their analytics implementations that will either trend up, remain solid, or trend down.

Published in: Healthcare, Data & Analytics
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3 Phases of Healthcare Data Governance in Analytics

  1. 1. 3 Phases of Healthcare Data Governance in Analytics By Mike Doyle © 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. Show the challenges involved with adaptive healthcare data governance Show the challenges involved with adaptive healthcare data governance © 2014 Health Catalyst www.healthcatalyst.com Healthcare Data Governance Healthcare data governance. It sounds like it could be a dry topic, right? The truth is that data governance is a very exciting and complicated challenge in healthcare analytics. The purpose of this commentary is to: Demonstrate how effective data governance evolves throughout the lifecycle of a health system’s analytics program Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  3. 3. The specification of decision rights and an accountability framework to ensure appropriate behavior in the valuation, creation, storage, use, archiving, and deletion of information. It includes the processes, roles and policies, standards, and metrics that ensure the effective and efficient use of information in enabling an organization to achieve its goals.” © 2014 Health Catalyst www.healthcatalyst.com What Data Governance Is Data governance is: The scope of data governance includes data stewardship, storage, and technical roles and responsibilities. It also requires leadership and processes to get the most out of an investment in analytics. Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  4. 4. © 2014 Health Catalyst www.healthcatalyst.com What Data Governance Is Because leadership buy-in is so important, the focus here will be on the important role a core group of leaders — the key stakeholders who form the healthcare data governance committee — will play in setting, growing, and sustaining a successful analytics program. Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  5. 5. Stakeholders must understand how important it is to ensure the right group of leaders is engaged in the governance of the BI program as a whole. © 2014 Health Catalyst www.healthcatalyst.com What Data Governance Is The best data governance committees drive efficient, equitable use of a health system’s information, and enable the organization to achieve its goals of higher-quality, lower-cost care. Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  6. 6. Few health systems claim to have figured out effective healthcare data governance. One difficulty is that no single template for data governance can be applied to every organization. Data governance approached as a rigid, idealized plan often ends up being scrapped. © 2014 Health Catalyst www.healthcatalyst.com Effective Healthcare Data Governance Is Adaptive Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  7. 7. In General there are three phases of adaptive data governance that characterize successful analytics implementations. 1. The Early Stage of Healthcare Data 2. The Mid-Term Stage of Healthcare © 2014 Health Catalyst www.healthcatalyst.com Effective Healthcare Data Governance Is Adaptive Governance Data Governance 3. The Steady State of Healthcare Data Governance Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  8. 8. 1 Committee Makeup In the early stages of planning sponsors of the health system’s data governance initiative must have some decision-making authority. © 2014 Health Catalyst www.healthcatalyst.com The Early Stage of Healthcare Data Governance Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. THREE PHASES DATA GOVERNANCE Ideally, these leaders have a passion for using data, and are generally described as being both exciting and decisive. They may be executives, directors, influential managers in the quality department, nurses, or physicians.
  9. 9. 1 Committee Focus Some of the most important questions this group will address are: © 2014 Health Catalyst www.healthcatalyst.com The Early Stage of Healthcare Data Governance Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. THREE PHASES DATA GOVERNANCE Where should the initiative begin? Where should resources focus? The committee’s first role will be to keep the peace, and ensure everyone impacted understands the priority. They must protect the integrity of the initiative to drive real quality and cost improvement.
  10. 10. © 2014 Health Catalyst www.healthcatalyst.com The Mid-Term Stage of Healthcare Data Governance 2 Committee Makeup As your implementation of analytics continues, the nature of the decisions made by the data governance committee will change. Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. THREE PHASES DATA GOVERNANCE It’s possible some of the initial committee members will lose interest at this stage, and miss meetings. They may view program maintenance as more of an operational problem. It’s okay to let them walk away. Their replacements may bring new energy to the initiative.
  11. 11. 2 Committee Focus At this phase the committee will begin to implement the solution in new areas of the enterprise. You may take the lessons learned in Cardiology to branch out and serve Labor and Delivery. © 2014 Health Catalyst www.healthcatalyst.com The Mid-Term Stage of Healthcare Data Governance Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. THREE PHASES DATA GOVERNANCE The group will also be responsible for monitoring the progress of existing initiatives. They will ask questions like: • How are things going? • Who is using the system? • What additional training or tools are needed to increase utilization? • What should we keep doing/stop doing/do more of?
  12. 12. 3 Council Makeup In this stage, the data governance committee may want to start calling itself something more interesting, like a governance council. Let it happen. Only a few of the initial leaders will still be involved, but the council itself will continue to evolve. © 2014 Health Catalyst www.healthcatalyst.com The Steady State of Healthcare Data Governance Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. THREE PHASES DATA GOVERNANCE
  13. 13. © 2014 Health Catalyst www.healthcatalyst.com The Steady State of Healthcare Data Governance 3 Council Makeup The most effective agents of governance at this point are those who are the “ethical politicians” and have a talent for peacekeeping and consensus building. They will have a natural, one-on-one leadership style that fosters team communication, in or out of the meeting. They won’t be solving big problems in real time; rather, they’ll be addressing frequently heard common concerns. Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. THREE PHASES DATA GOVERNANCE
  14. 14. © 2014 Health Catalyst www.healthcatalyst.com The Steady State of Healthcare Data Governance 3 Council Focus If the analytics effort is going well, there will be dissatisfied customers. Some will believe they haven’t received as much support as other areas. Leaders’ role will be to hear these customers’ concerns, make their voices heard, help them feel there’s hope for improvement, and then keep them in the loop until their concerns are addressed. Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. THREE PHASES DATA GOVERNANCE
  15. 15. © 2014 Health Catalyst www.healthcatalyst.com The Steady State of Healthcare Data Governance 3 Council Focus At this point the group must stay the course in spite of vocal resistance from other departments. If the initiative is working for most of the organization, the council will have to actively engage the disenfranchised and bring them around. Finally the team will continue to be responsible for monitoring the success of the initiative and prioritizing efforts. Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. THREE PHASES DATA GOVERNANCE
  16. 16. These metrics should stay solid, or trend upwards in rare cases: • Technology/analytics team satisfaction These metrics should hopefully trend down: • Time and resources it takes to answer common analytic questions © 2014 Health Catalyst www.healthcatalyst.com How to Know If Healthcare Data Governance is Working To know if data governance is working, explore using data to measure the effectiveness of your data governances if you can. Here are some of the key metrics to study: If governance is successful, these metrics will trend up: # of users # of requests # of queries, reports and page views # of success stories from your users! # of key stakeholders who are aware of your group and what you do • User/customer satisfaction. • # of requests you get to evaluate competing analytic systems Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  17. 17. At various points in the lifecycle of the project, you may be tempted by the simplicity of a “one size fits all” framework for data governance. Healthcare data governance is most effective when it is allowed flexibility to adapt and change. If you are prepared to allow your data governance strategy to evolve as analytic maturity develops, your organization will be well positioned for success. © 2014 Health Catalyst www.healthcatalyst.com How to Know If Healthcare Data Governance is Working Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  18. 18. © 2014 Health Catalyst www.healthcatalyst.com More about this topic 7 Essential Practices for Data Governance in Healthcare Dale Sanders, Senior VP of Strategy Why a Data Governance Is One of the Six Reasons for Data Warehouse Failures Steve Barlow, Co-Founder and Senior VP of Client Ops The Best Organizational Structure for Healthcare Analytics John Wadsworth, VP of Client Technical Operations Keys to a Successful Analytics Implementation Jared Crapo, VP; Eric Just, VP of Technology; and Dan Lidgard, VP Demystifying Healthcare Data Governance Dale Sanders, Senior VP of Strategy Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  19. 19. © 2014 Health Catalyst www.healthcatalyst.com For more information: Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
  20. 20. Other Clinical Quality Improvement Resources © 2013 Health Catalyst www.healthcatalyst.com Click to read additional information at www.healthcatalyst.com Mike Doyle joined Health Catalyst in May of 2013 as a Vice President. He has been connected with the Health Catalyst senior leadership team since 2006. Prior to Health Catalyst, Mike led the Enterprise Data Warehouse (EDW) program at Allina Health as Director of Healthcare Intelligence. He helped Allina grow its EDW program from a nascent clinical improvement initiative to an enterprise-wide strategic asset, in heavy demand by thousands of users across all of Allina’s 11 hospitals and 100+ clinics. Prior to his work with Allina, Mike was employed on the Northwestern Medicine campus in Chicago, beginning as a Systems Administrator at the Medical School and eventually leading the Analytics and Systems Integration team at Northwestern Medical Faculty Foundation. In addition to his experience building strong technology teams, Mike has experience in technical roles such as database administrator, web programmer, data architect, and business intelligence developer. Mike holds a Master of Music degree from Northwestern University and a Bachelor of Fine Arts degree from Carnegie Mellon University.

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