Design and implementation of a comprehensive outpatient results manager
Journal of Biomedical Informatics - Patient safety
High frequency distributed data stream event correlation to improve neonatal clinical management
Proceedings of the 2007 inaugural international conference on Distributed event-based systems
Journal of Network and Computer Applications
Simulated neonatal intensive care units to support neonatologist international mobility
Telehealth '07 The Third IASTED International Conference on Telehealth
IEEE Transactions on Information Technology in Biomedicine
A Framework for Deployment of 3g Wireless Network and Mobile Agent in Health Care Delivery System
International Journal of Agent Technologies and Systems
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Clinical information systems (CIS) are increasingly employed to manage the information associated with hospital and Intensive Care Unit (ICU) patients. CIS are typically interfaced to a variety of other systems which provide bedside physiologic data, laboratory results and medication information for video displays and reports. However, having all this information together in electronic format provides an opportunity to detect critically adverse patient conditions, which may be complex. The authors have devised a software system which extracts all pertinent information from the CIS on a continuous basis and sends the data through a series of event detection algorithms. These algorithms are configured to detect critically abnormal physiologic and laboratory values, critical trends and critical indicators of drug reactions and side effects. Once an alert is detected, the software systems codes it into a readable alphanumeric alert message and automatically sends it to commercial paging system. Alerts are received on pagers carried by designated physicians and pharmacists who can take immediate actions to reverse the alert condition.