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Standardization Of Data for Critical Access Hospital

The introduction of new Joint Commission requirements for the transfer of health information will take a stepped approach, moving the field toward the long term goal of efficient communication of health care information, while seeking to avoid any unintended negative consequences. Promoting the standardization of the data collected within organizations is essential to the effective transfer of information. The standardization of data is the first step in using data in planning for safety and high quality care within critical access hospitals. Requirements for the standardization of data may include a generic set of requirements as well as those specific to the critical access hospital setting.

Further down on this page, you will see a link to resources related to this topic as well as performance requirements that may be applicable to the critical access hospital setting. Feel free to upload additional materials that would further help The Joint Commission to establish a core set of requirements in this area. This may include media articles, forms used within your organization, or anything else pertaining to the transfer of health information. Also, feel free to edit the performance requirements that are listed below, or add new ones you feel should be considered by The Joint Commission. Remember, performance requirements are objective and measurable descriptions of an action, outcome, or observable behavior.


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Principles Governing Content Development for Upgrading HIT-Related Joint Commission Standards

Category: Resource Material
Posted by EricDanielson on 09/21/2007

  
In November 2006, The Joint Commission Board of Commissioners approved the “Principles Governing Content Development for Upgrading HIT-Related Joint Commission Standards” (“HIT Principles”) as recommended by The Joint Commission’s Health Information Technology Strategic Issues Work Group. These 11 principles were created to guide standards content development as health care organizations transition to an electronic health information environment. All future standards will be assessed for congruency with the HIT Principles.
  

Test Resource

Category: Literature Review
Posted by JimmyBrown on 10/11/2007

  
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Draft Performance Requirements

SD1 (0 comments )
Organizations with electronic systems establish data dictionaries that use consistent descriptions of data fields across all departments that electronically collect data for that particular field.

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Comments

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bubble 01 Sep 08 15:07 | DeborahL said...:
Data Standards needed
A taxonomy consensus is certainly required for healthcare to improve patient care. There is, in fact, a gap in continuity of care across providers and facilities. The potential roadblock to adoption of standards is lack of preagreement among all parties on these standards. In other industries, the road to consensus was a long drawn-out process, often due to the exponential cost of converting to the standard but is not insurmountable (e.g. UN/EDIFACT - United Nations Directories for Electronic Data Interchange for Administration, Commerce and Transport). Software tools are available in the marketplace that can facilitate conversion to a standard taxonomy/data dictionary.

Given the spectrum and magnitude of the various types of healthcare facilities, providers and interested parties, an appointed multi-disiplinary task force is recommended to establish the standards and facilitate adoption. Expect an outcry from the general industry (e.g. HIPPA standards), but the outcomes for patients and care providers outweigh the negatives.

   
bubble 17 Oct 07 17:19 | ThomasWickesser said...:
The classical definition of taxonomy is the science of documentation of biological specimens, which involves the collection, naming, describing, identifying, and classifying of living organisms. The taxonomy model is useful in the construction of a data repository used for the retrieval of knowledge obtained from knowledge management initiatives within a business organization. The intent of knowledge management taxonomy is to provide a hierarchy in subject matter from general topics to specific information based on key word searches in a relational database structure when data mining archived tacit and explicit knowledge (The Document Site, n.d.).

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r1 - 21 Sep 2007 - 08:43:38 - EricDanielson
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