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Recent studies in neonatal medicine, clinical nursing, and cognitive psychology have indicated the need to augment current decision-making practice in neonatal intensive care units with computerized, intelligent decision support systems. Rapid progress in artificial intelligence and knowledge management facilitates the design of collaborative ethical(More)
This paper has two contributions: a) it proposes a web services-based infrastructure to support Clinical Decision Support Systems (CDSSs) for processing multi-domain medical data from the obstetrical, perinatal and neonatal care domains, and b) applies Software Performance Engineering (SPE) to the proposed infrastructure. This extends a XML-based framework(More)
The paper provides an overview of applications of artificial neural networks (ANNs) to various medical problems, with a particular focus on the intensive care unit environment (ICU). Several technical approaches were tested to see whether they improve the ANN performance in estimating medical outcomes and resource utilization in adult ICUs. These(More)
The artificial intelligence approach used in this work focusses on case-based reasoning techniques for the estimation of medical outcomes and resource utilization. The systems were designed with a view to help medical and nursing personnel to assess patient status, assist in making a diagnosis, and facilitate the selection of a course of therapy. The(More)
Three criteria are suggested to help design a Clinical Decision Support System (CDSS) that would have a better chance of being successfully deployed in a clinical environment. These criteria have been successfully applied to a CDSS designed to estimate outcomes for neonatal intensive care unit (NICU) patients. The CDSS was deployed in a pilot study at the(More)
A reengineered approach to the early prediction of preterm birth is presented as a complimentary technique to the current procedure of using costly and invasive clinical testing on high-risk maternal populations. Artificial neural networks (ANNs) are employed as a screening tool for preterm birth on a heterogeneous maternal population; risk estimations use(More)
  • M. Frize
  • 1988
Great disparities exist between clinical engineering departments in various hospitals in the level and breadth of services offered, in the resources acquired to support the services and in the level of recognition and acceptance achieved. Some standardisation in the name of the department, its role, level of resources and budgetary analysis may lead to a(More)
This paper presents preliminary findings of a study of clinical engineering effectiveness within developing world hospitals. To date, 169 responses have been collected from 43 countries, primarily from Africa, Latin America and Asia, with some representation from the Middle East and Eastern Europe as well. Data is presented on: 1) hospital and clinical(More)