Data Management Across the Continuum
Health Data Management Across the Continuum –
Robert H. Dolan, L. A. (2011). Approaching semantic interoperability in Health Level Seven.
Journal of American Medical Informatics Association, 18:99-103.
The author begins this article looking at different definitions of the term semantic interoperability. As a general definition, the state of semantic interoperability allows two or more computer systems to exchage information and have the same interpretation of that data so results are useful to both systems. Explaining HL7’s role as a standard-setting organization and the need for semantic interoperability to meet HL7 standards is also given good coverage by the article. Clinical document architecture (CDA) using standarized data sets is explained as one method to improve communication between IT systems. Several times, the author describes a parallell between the development of human to human language and computer to computer communication aserting that semantic interoperability is progressing much the same way that human language has evolved. The general conclusion is that impovement in semantic interoperability can be objectively measured.
I believe semantic interoperability is a great term to describe the necessity for standardized terminologies and data dictionarys. Quality data becomes information that can be shared otherwise it is limited to the space on one’s server.
Kuperman, G. J., Blair, J. S., Franck, R. A., Savithri, D., & Low, A. F. (2010).
Developing data content specifications for the Nationwide Health Information Trial
Implementations. Journal of American Medical Informatics Association, 17:6-12.
This aticle descibes the process of implementing content specifications for interoperability within the Nationwide Health Information Network (NHIN). The constructs established by the Health Information Technology Standards Panel (HITSP) are described as a good starting point toward interoperability. Increased
Robert H. Dolan, L. A. (2011). Approaching semantic interoperability in Health Level Seven.
Journal of American Medical Informatics Association, 18:99-103.
The author begins this article looking at different definitions of the term semantic interoperability. As a general definition, the state of semantic interoperability allows two or more computer systems to exchage information and have the same interpretation of that data so results are useful to both systems. Explaining HL7’s role as a standard-setting organization and the need for semantic interoperability to meet HL7 standards is also given good coverage by the article. Clinical document architecture (CDA) using standarized data sets is explained as one method to improve communication between IT systems. Several times, the author describes a parallell between the development of human to human language and computer to computer communication aserting that semantic interoperability is progressing much the same way that human language has evolved. The general conclusion is that impovement in semantic interoperability can be objectively measured.
I believe semantic interoperability is a great term to describe the necessity for standardized terminologies and data dictionarys. Quality data becomes information that can be shared otherwise it is limited to the space on one’s server.
Kuperman, G. J., Blair, J. S., Franck, R. A., Savithri, D., & Low, A. F. (2010).
Developing data content specifications for the Nationwide Health Information Trial
Implementations. Journal of American Medical Informatics Association, 17:6-12.
This aticle descibes the process of implementing content specifications for interoperability within the Nationwide Health Information Network (NHIN). The constructs established by the Health Information Technology Standards Panel (HITSP) are described as a good starting point toward interoperability. Increased
References: Kuperman, G. J., Blair, J. S., Franck, R. A., Savithri, D., & Low, A. F. (2010). Developing data content specifications for the Nationwide Health Information Trial Implementations. Journal of American Medical Informatics Association, 17:6-12. Lee, M. K., Park, H.-A., & Ham, S. W. (2010). Evaluation of the Clinical Data Dictionary. Healthcare Informatics Research, 16(2):82-8. Robert H. Dolan, L. A. (2011). Approaching semantic interoperability in Health Level Seven. Journal of American Medical Informatics Association, 18:99-103.