6 data governance challenges in healthcare

©2016 Dimensional Insight, Inc.

6 Data Governance Challengesin Healthcare


The role of data governance in healthcare

An effective data governance strategy helps healthcare organizations manage, use, and protect the data in their IT environments.

It also helps to create a culture of data-driven decision-making by putting reliable information in the hands of information consumers in a timely manner.


Data governance challenges

However, there are a host of challenges when it comes to healthcare data governance.

Here, we’ll examine 6 of these challenges, and show you where you can learn best practices as you proceed with your data governance initiative.


1. Lack of support

Executives and the board often do not provide enough support for a holistic foundation for data governance.


2. Allocating resources

Significant staff bandwidth is required for a governance committee, including executives, service leaders, data owners, data stewards, data architects, and data analysts.


3. Lack of staff integration

Data owners are too far removed from operations and business activities to be effectively integrated into the solution.


4. Little trust in the data

Siloed, inaccurate, inconsistent, and unstandardized data results in lack of trust.


5. Difficulty of training

Many organizations lack a strategy for educating, training, and supporting users on data governance practices.


6. Inconsistent data protections

Many organizations lack the appropriate restrictions and protections.

They also do not provide consistent access to data.


Learn about best practices in data governance

How can you combat these challenges?

Read the white paper, “Best Practices for Healthcare Data Governance”

to learn 3 ways to kick-start your data governance

initiative.

http://www.dimins.com/wp-content/uploads/2016/03/best-practices-for-healthcare-data-governance.pdf

http://www.dimins.com/wp-content/uploads/2016/03/best-practices-for-healthcare-data-governance.pdf