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A Clinical Data Repository could be used in the hospital setting to track prescribing trends as well as for the monitoring of infectious diseases. One area CDR's could potentially be used is monitoring the prescribing of antibiotics in hospitals especially as the number of antiobiotic-resistant bacteria is ever increasing. In 1995, a study at the Beth Israel Deaconess Medical Center conducted by the Harvard Medical School used a CDR to monitor vancomycin use and prescribing trends since vancomycin-resistant enterococci is a growing problem. They used the CDR to track the prescribing by linking the individual patient, medication, and the microbiology lab results which were all contained within the CDR. If the microbiology lab result did not support the use of vancomycin, it was suggested to change the medication to something appropriate as under the Center for Disease Control [[CDC]] guidelines. The use of CDR's could help monitor infectious diseases in the hospital and the appropriate prescribing based off lab results. <ref>Samore M. Lichtenberg D, Saubermann L, Kawachi C, Carmeli, Y. “A Clinical Data Repository Enhances Hospital Infection Control.” Harvard Medical School. AMIA Annual Fall Symposium. 1997: 56-60 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233433/pdf/procamiaafs00001-0095.pdf</ref>
The use of Clinical Data Repositories could provide a wealth of knowledge about patients, their medical conditions, and their outcome. The database could serve as a way to study the relationship and potential patterns between disease progression and management. The term "Medical Data Mining" has been coined for this method of research. Past epidemiological studies may not have had as complete of information as that which is contained in a CDR, which could lead to inconclusive data/results. The use of medical data mining and correlative studies using the CDR could serve as a valuable resource helping the future of healthcare in all facets of medicine. <ref>Prather JC, Lobach DF, Goodwin LK, Hales JW, Hage ML, Hammond WE. “Medical Data Mining: Knowledge Discovery in a Clinical Data Warehouse.” Duke University Medical Center. AMIA Annual Fall Symposium. 1997: 101-105 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233405/pdf/procamiaafs00001-0140.pdf</ref>
==References==
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