Anonymous. (1969). National drug code directory. Hospitals vol. 43:80-1.

Anonymous. (2004). Minutes: Laboratory LOINC Meeting. Effler, P., Ching-Lee, M., Bogard, A., Man-Cheng, L., Nekomoto,T., and Jernigan, D. (1999). Statewide System of Electronic Notifiable Disease Reporting from Clinical Laboratories: Comparing Automated Reporting with Conventional Methods. Journal of the American Medical Association vol. 282: 1845-1850.

Food and Drug Administration. (2004). Bar Code Label Requirements for Human Drug Products and

6 These steps are likely to overlap, because IT vendors are often members of standard-developing organizations and part of the community that agrees on standards.

Biological Products; Final Rule. The Federal Register vol. 69:9119-9171.

Huff, S.M., et al. (1998). Development of the Logical Observation Identifier Names and Codes (LOINC) vocabulary. Journal of the American Medical Informatics Association vol. 5:276-292.

National Library of Medicine. (2004). About the UMLS Resources.

Office of the Federal Coordinator for Meteorological Services and Supporting Research. (1995).The Federal Meteorological Handbook Number 1.

Overhage, J.M., Suico, J., and McDonald, C.J. (2001). Electronic laboratory reporting: barriers, solutions and findings. Journal of Public Health Management Practice vol. 7:60-66.

Panackal, A.A., et al. (2001). Automatic Electronic

Laboratory-Based Reporting of Notifiable Infectious Diseases. Emerging Infectious Diseases vol. 8:685-691.

SNOMED International. (2004). HHS Secretary Tommy G. Thompson announces access to SNOMED CT through the National Library of Medicine. http://www.snomed. org/news/ documents/050404_E_NLMPressRelease_Final_001.pdf

Spackman, K.A., Campbell, K.E., and Cote, R.A. (1997). SNOMED RT: A Reference Terminology for Health Care. Proceedings of a conference of the American Medical Informatics Association 640-644.

Uniform Code Council. (2004). Global trade item number (GTIN) implementation guide. GTIN.pdf

Wilson,T.,Tsui, R., Espino, J., and Wagner, M. (2001). Logical and Physical Data Models for a Health-System-Resident Component in a national Disease Surveillance System. Pittsburgh: Center for Biomedical Informatics, University of Pittsburgh.

Was this article helpful?

0 0

Post a comment