Data+Provenance+Test

include component="page" wikiName="siframework" page="DP header"include component="page" wikiName="siframework" page="space.template.inc_contentleft_dashboard_begin" =**Data Provenance Executive Summary**= The term “provenance” in the context of health information technology refers to evidence and attributes describing the origin of health information as it is captured in a health system. Clinical informatio n can be shared between: When information is shared, the recipient of the information must know the answers to some basic questions such as: Below is a diagram demonstrating three potential scenarios:
 * Background**
 * ‐ Providers **
 * ‐ Organizations **
 * ‐ Health IT Systems **
 * ‐ Can I trust it? **
 * ‐ Has it been changed? **


 * Why Pilot for Data Provenance?**
 * //**Leverage your organization's name recognition**// by participant in this important national initiative
 * //**Increase pilot visibility**// among Government agencies, ONC grantees, and within the community of volunteers that support health information exchange
 * //** Receive recognition as an early adopter **//
 * //** Contribute to the HIT Community **//
 * //**Build on expertise, tools, and open‐source code**// developed through the Data Provenance Initiative to create better, faster and higher quality implementation

Pilots are instrumental in developing a harmonized, workable, and technical solutions to data provenance while effectively conveying where data originated. The Data Provenance Pilots will help define a more inter-operable way to share provenance information. Get involved in the Data Provenance Pilots!
 * Getting Involved:**

It is important for healthcare stakeholders to have confidence in the authenticity, reliability, and trustworthiness of shared data. This trust requires a clear trail of data provenance in order to validate and determine how to use the data. In order to help meet this challenge, the goals of this initiative include:
 * Initiative Approach:**
 * ** Establish guidance for handling data provenance in content standards, including the level to which provenance should be applied **
 * ** Establish the minimum set of provenance data elements and vocabulary **
 * ** Standardize the provenance capabilities to ensure inter-operability **

For more information on the pilots process and how to register to become a pilot for the Data Provenance Initiative, please visit: http://wiki.siframework.org/Data+Provenance+Pilots For any other pilots related questions, please contact Jamie Parker at jamie.parker@esacinc.com


 * Click here for a PDF of the Executive Summary**

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