Patient Privacy Protecting Patient Privacy Term Paper

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Advanced technology such as retinal scans, or fingerprint matching could be employed at the most sensitive levels. The implementation of such a system would be long and complicated. The first step would be the development and testing of the software package. The second would be training bedside personnel to enter information into the system properly. The third would be to encode existing patient information into the system. Next, a system for dispersing access to the various levels would have to be developed. Each of these components results in an integrated system that would result in the highest level of patient confidentiality, yet would allow those that need confidential access to have it. This system would serve the needs of the patients by way of quality improvement and would provide the maximum level of security possible.

References

Conn, J. (2005). AHA dispute with JCAHO over data-mining flare ups. Retrieved May 14, 2008 at http://www.patientprivacyrights.org/site/News2?page=NewsArticle&id=6438.

Lerouge, C, Culijak, G, & Horan, T. (2007). Consumer Health Informatics, Patient Safety and Quality of Practice. System Sciences, 2007. HICSS 2007. 40th Annual Hawaii...

...

Held January 2007 at Waikoloa, HI. IEEE Xplore. Retreived May 13, 2008 at http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4076635
Loonsk, J. (2004). BioSense - a National Initiative for Early Detection and Quantification of Public Health Emergencies. MMWR Supplement. September 24, 2004. 53(Suppl);53-55. http://www.cdc.gov/mmwr/preview/mmwrhtml/su5301a13.htm

McNabb, S., Koo, D., Pinner, R., and Seligman, J. (2006). Informatics and Public Health at CDC. MMWR. December 22, 2006. 55(SUP02);25-28. Retrieved May 13, 2008 at http://www.cdc.gov/mmwr/preview/mmwrhtml/su5502a10.htm?s_cid=su5502a10_e

National Cancer Institute (2000). Shared Pathology Informatics Network (SPIN). RFA: CA-01-

http://grants.nih.gov/grants/guide/rfa-files/RFA-CA-01-006.htm

Office for Civil Rights (OCR)(2003). Summary of the HIPAA Privacy Rule. Department of Health and Human Services. http://www.hhs.gov/ocr/privacysummary.pdf

Ohno-Machadoa, L., Silveirab, P., and Vinterboa, S. (2004). Protecting patient privacy by quantifiable control of disclosures in disseminated databases. International Journal of Health Informatics. 73 (7-8), 599-606.

Sources Used in Documents:

References

Conn, J. (2005). AHA dispute with JCAHO over data-mining flare ups. Retrieved May 14, 2008 at http://www.patientprivacyrights.org/site/News2?page=NewsArticle&id=6438.

Lerouge, C, Culijak, G, & Horan, T. (2007). Consumer Health Informatics, Patient Safety and Quality of Practice. System Sciences, 2007. HICSS 2007. 40th Annual Hawaii International Conference. Held January 2007 at Waikoloa, HI. IEEE Xplore. Retreived May 13, 2008 at http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4076635

Loonsk, J. (2004). BioSense - a National Initiative for Early Detection and Quantification of Public Health Emergencies. MMWR Supplement. September 24, 2004. 53(Suppl);53-55. http://www.cdc.gov/mmwr/preview/mmwrhtml/su5301a13.htm

McNabb, S., Koo, D., Pinner, R., and Seligman, J. (2006). Informatics and Public Health at CDC. MMWR. December 22, 2006. 55(SUP02);25-28. Retrieved May 13, 2008 at http://www.cdc.gov/mmwr/preview/mmwrhtml/su5502a10.htm?s_cid=su5502a10_e
http://grants.nih.gov/grants/guide/rfa-files/RFA-CA-01-006.htm
Office for Civil Rights (OCR)(2003). Summary of the HIPAA Privacy Rule. Department of Health and Human Services. http://www.hhs.gov/ocr/privacysummary.pdf


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