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1.
Ann Emerg Med ; 44(3): 242-6, 2004 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-15332066

RESUMO

STUDY OBJECTIVE: We demonstrate the feasibility and utility of emergency department (ED) syndromic surveillance using a regional emergency medicine Internet application to minimize impact on ED and public health staffing. METHODS: Regional (multi-ED) surveillance was established for 2 periods, one characterized by a high-profile national sports event and the other during an international disease outbreak. Counts of patient visits meeting syndrome criteria and total patient visits were reported daily on the secure regional emergency medicine Internet site and downloaded by public health staff. Trends were analyzed and displayed on the secure Web site. ED participants were surveyed about the acceptability and time cost of the project. RESULTS: In the first ("All Star Game") project, 8 departments reported daily counts for 4 weeks, covering more than 26,000 patient visits. In the second ("severe acute respiratory syndrome" [SARS]) project, an average of 11 departments in the same region reported daily data on febrile respiratory illnesses, travel, and contacts for 10 weeks. Experience with the first project allowed for rapid implementation of the second project during a 3-day period. In both instances, the surveillance efforts were undertaken without the need for extraordinary ED or public health staffing requirements. CONCLUSION: A regional emergency medicine Internet approach permitted rapid implementation of multisite syndromic surveillance without additional staff. Some problems were identified with the first project, related to clinician checklist completion and manual data tabulation and entry. The SARS project addressed these by simplifying data collection and restricting it to triage.


Assuntos
Surtos de Doenças , Serviço Hospitalar de Emergência , Internet , Vigilância da População/métodos , Síndrome , Bioterrorismo , Doenças Transmissíveis/diagnóstico , Doenças Transmissíveis/epidemiologia , Surtos de Doenças/prevenção & controle , Surtos de Doenças/estatística & dados numéricos , Humanos , Modelos Estatísticos , Saúde Pública
2.
J Public Health Manag Pract ; 10(3): 234-40, 2004.
Artigo em Inglês | MEDLINE | ID: mdl-15253519

RESUMO

The City of Milwaukee Health Department piloted a short-term, near real-time syndromic surveillance and communication tool by using an existing secure regional Internet infrastructure. Voluntary, active syndromic case reporting by hospital Emergency Departments was combined with other data streams, including clinical laboratory reports of communicable disease, hospital emergency room diversions, ambulance runs, medical examiner reports of unusual or suspicious deaths, poison control and nursing hotline call volumes, and pharmacy over-the-counter sales. These data were aggregated into a "Surveillance Dashboard" format that was used to communicate community syndromic health trends to hospitals, Emergency Departments, and other providers using a secure Internet technology. Emergency Departments at 8 area hospitals reported a total of 314 cases meeting syndromic criteria from 26,888 patient encounters. Participants were satisfied with data entry and communications. All participating Emergency Departments received e-mail and text pager alerts sent by the Milwaukee Health Department. No unexplained findings or suggestions of an early outbreak were reported through syndrome surveillance for the 4-week duration of the project. Similar surveillance and communications systems could provide multiple benefits to Emergency Department workflow and management, as well as to public health and emergency response.


Assuntos
Bioterrorismo/prevenção & controle , Planejamento em Desastres/organização & administração , Serviços Médicos de Emergência/organização & administração , Administração em Saúde Pública/normas , Vigilância de Evento Sentinela , Serviços Médicos de Emergência/estatística & dados numéricos , Serviço Hospitalar de Emergência/organização & administração , Serviço Hospitalar de Emergência/estatística & dados numéricos , Planejamento Hospitalar , Humanos , Modelos Organizacionais , Síndrome , Wisconsin/epidemiologia
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