Designing a total hospital information system.
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AIMS: To explore issues in the collection and analysis of ethnicity data in primary care, and discuss the implications of this for health services research. METHODS: Data routinely collected by 25 Wellington Independent Practice Association (WIPA) general practices in 2001. RESULTS: Practices varied in the level of ethnicity data coverage achieved, ranging from less than 10% to greater than 90% of patients. Combining practice data with National Health Index (NHI) ethnicity data increased coverage to at least 70% for registered patients at 23 of 25 practices. There were differences between the data collected in general practices and ethnicity recorded on NHI. However, with the exception of the 'Other' category, this disagreement was not systematic. Practices had lower proportions of patients with ethnicity recorded as 'Other' (not further specified) than NHI ethnicity records. CONCLUSIONS: The study demonstrated that it is possible to collect quality ethnicity data in general practices, although there are challenges. Merging practice-collected ethnicity data with NHI ethnicity data increases coverage. However, there is some mismatch between data sources. The findings support the need for standardised, consistent approaches to ethnicity data collection and analysis, as well as systems and policies that facilitate the collection of high quality data.
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A computer-assisted program that monitors the appropriateness of antibiotic prescribing by matching microbiology reports and patient drug profiles is described. An antibiotic review committee in conjunction with the quality assurance department developed the computer-assisted antibiotic review program. An antibiotic order sheet was incorporated into the physicians' order form. Automatic stop dates were assigned according to the reason the antibiotic was ordered, e.g., surgical prophylaxis or documented infection. Numerous reports are generated from the data gathered from the physicians' order form. A drug/microbiology report is used to match patients' antibiotic drug profiles with their microbiology culture and sensitivity results. This report identifies all patients who have been receiving antibiotics for 72 hours or longer with sensitivities on file and mismatched sensitivity results. All mismatches that are considered important are investigated. Any actions taken are reported to the antibiotic review committee for peer review. The computer-assisted program has helped this hospital screen large populations of inpatients receiving antibiotics. The concurrent review of the drug/microbiology report has made it possible to detect within 24 hours, patients who are receiving antibiotics inappropriately. A computer can be used to perform daily concurrent antibiotic use review as a by-product of order entry by both the pharmacy and laboratory.
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