Displaying results 1 - 4 of 4
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Electronic medical record Support for Public health (ESP): Automated Detection and Reporting of Statutory Notifiable Diseases to Public Health Authorities
Content Type: Abstract
Clinician initiated reporting of notifiable conditions is often delayed, incomplete, and lacking in detail. We report on the deployment of Electronic medical record Support for Public health (ESP), a system we have created to automatically screen… read more… Lyme disease, for example, can be diagnosed from the com- bination of 1) an ICD9 code 088.81 (erythema chronicum … 1999;282: 1845–50. 3. Panackal AA, M’ikanatha NM, Tsui FC, et al. Automatic electronic laboratory-based reporting … EpicCare Ambulatory. Available at http://www.epicsystems. com/Software/EnterpriseClinical.php#ambulatory. Accessed … -
Syndromic Surveillance Reporting via CDC’s Public Health Information Grid
Content Type: Abstract
CDC is building a public health information grid to enable controlled distribution of data, services and applications for researchers, Federal authorities, local and state health departments nationwide, enabling efficient… read more… aggregate analysis of distributed data sources may detect clusters that might be invisible to smaller, … Federated aggregate analysis of distributed data sources may detect clusters that might be invisible to smaller, … -
Klompas et al. Respond: Automated Public Health Reporting-- Possible with a Coalition of the Willing
Content Type: Abstract
Professor Hripcsak rightly points out some of the challenges inherent in disseminating and sustaining robust information systems to automate the detection and reporting of notifiable diseases using data from electronic medical records (EMR). New… read more… Medical Associates, Boston, MA. Received for publication May 8, 2007; accepted for publication May 9, 2007. Professor Hripcsak rightly points out some of … professional societies, regulators, providers, com- mercial EMR vendors, and academia. We hope that co- … -
Automated Detection of Tuberculosis Using Electronic Medical Record Data
Content Type: Abstract
Approximately one quarter of people treated for tuberculosis (TB) have no supporting microbiology, and thus are not detectable through laboratory reporting systems. Health departments depend upon clinicians to report these… read more… with a combined positive predictive value of 82%. By com- parison, the most sensitive single algorithm (any ICD9 … (100%) 9/11 (82%) CONCLUSIONS These results suggest it may be possible to achieve both high sensitivity and …