An Introduction to Information Governance. Lydia Washington, MS. RHIA, CPHIMS Sr. Director, Practice Excellence, AHIMA. Objectives. Define Information Governance, Data Governance, Enterprise Information Management & the relationship between them
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Lydia Washington, MS. RHIA, CPHIMS
Sr. Director, Practice Excellence, AHIMA
The specification of decision rights and an accountability framework to ensure appropriate behavior in the valuation, creation, storage, use, archiving and deletion of information
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.
Data Governance is an important part of Information Governance, but not all of it.
Information Governance addresses all types of unstructured & structured information that is collected or stored in the organization,
whereas Data governance is focused only on structured data.
All the things we do with and to information in order to
1) reduce risks ( examples: disaster recovery/business continuity; e-discovery/litigation response)
2) increase efficiencies (examples: enterprise content management; workflow management)
3) achieve competitive advantages (examples: business intelligence; predictive analytics; knowledge creation)
“Intelligence”= insight—not only what, but why and how
Information and analytics --the core --no longer just a byproduct
Information and data governance are foundational for Clinical and Business Intelligence
Essential for population health management
Analytics-transforms data into insight for improving careand reducing costs
Applying scientific or quantitative methods to discern patterns and provide insights
Statistics, algorithms, data mining and machine learning
Who will need early re-admission?
Is fraudulent activity occurring?
What diseases am I at high risk for?
There is an increasing need to ensure that information is trustworthy and actionable.
85% of health care delivery organizations have weak or no enterprise IG initiatives*
According to AHIMA case studies, initial efforts on EHR remediation
In some organizations, efforts are driven by internal counsel
Is 2015 the year of IG?
Health care specific:
1. Identify pain points
2. Make me money or save me money?
3. Collect and assess existing policies for gaps and deficiencies
4. Get and engage an executive sponsor
5. Plan your attack
6. Identify and engage stakeholder group of committed individuals (look for those who are not happy with or mistrust current state about data/info quality, availability, security, etc.)
7. Develop metrics to assess progress and support evaluation
Set up audit and enforcement mechanisms
Identify metrics, benchmarks and reporting mechanisms
Establish internal consulting role (contracts, IT purchases, compliance with plan, etc.)
Information governance insures that accurate information gets to the
right person, for the
right reason, at the
right time to make the
Establishing an expert advisory panel
Conducting surveys on IG in healthcare
Publishing white papers on IG
Develop principles for IG in healthcare
Developing a maturity model and self-assessment tools
Developing, refining and providing resources to operationalize IG
Providing reference, webinars and forums to raise awareness of IG
AHIMA Information Governance Page