3 Phases of Healthcare Data Governance in AnalyticsBy Mike Doyle презентация

3 Phases of Healthcare Data Governance in Analytics By Mike Doyle

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.

What Data Governance Is Data governance is:

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.

What Data Governance Is 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. 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.

Effective Healthcare Data Governance Is Adaptive 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.

Effective Healthcare Data Governance Is Adaptive In General there are three phases of adaptive data governance that characterize successful analytics implementations.

The Early Stage of Healthcare Data Governance Committee Makeup In the early stages of planning sponsors of the health system’s data governance initiative must have some decision-making authority.

The Early Stage of Healthcare Data Governance Committee Focus Some of the most important questions this group will address are:

The Mid-Term Stage of Healthcare Data Governance Committee Makeup As your implementation of analytics continues, the nature of the decisions made by the data governance committee will change.

The Mid-Term Stage of Healthcare Data Governance 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.

The Steady State of Healthcare Data Governance 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.

The Steady State of Healthcare Data Governance 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.

The Steady State of Healthcare Data Governance 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.

The Steady State of Healthcare Data Governance 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.

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:

How to Know If Healthcare Data Governance is Working 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.

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

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