Studies in health technology and informatics
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The greatest source of delay in patient flow is the waiting time from the health care request, and especially the bed request to exit from the Pediatric Emergency Department (PED) for hospital admission. It represents 70% of the time that these patients occupied in the PED waiting rooms. Our objective in this study is to identify tension indicators and bottlenecks that contribute to overcrowding. ⋯ This model allowed us to identify sources of delay in patient flow and aspects of the PED activity that could be improved. It must be enough retailed to produce an analysis allowing to identify the dysfunctions of the PED and also to propose and to estimate prevention indicators of tensions. Our survey is integrated into the French National Research Agency project, titled: "Hospital: optimization, simulation and avoidance of strain" (ANR HOST).
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The pHealth 2014 Conference is the 11th in a series of scientific events bringing together expertise from medical, technological, political, administrative, and social domains, all related to the provision of personalized health services. Aspects such as cooperation between primary, secondary and tertiary health care establishments, the inclusion of social care, home care and lifestyle management, practical experiences with local or regional telemedicine services, management of chronic diseases, Quality assurance challenges, health games, terminologies and ontologies, data management and visualizations, medical decision support, monitoring of environmental and living conditions of citizens using mobile wearable or implementable technologies as well as social and ethical issues of health (care) provision are to be addressed by almost 40 speakers from various parts of the world. Keynotes, invited talks, and oral presentations discuss foundations and principles, requirements and solutions for pHealth. ⋯ The editors are also grateful to the dedicated efforts of the Local Organizing Committee members and their supporters for carefully and smoothly preparing and operating of the conference. They especially thank all team members of the eHealth Research and the management of the University of Applied Sciences Technikum Wien for their continuous involvement in the organization and realization of the conference. Bernd Blobel, Stefan Sauermann, Alexander Mense Editors.
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Stud Health Technol Inform · Jan 2014
Pre-implementation investigation of the readiness of allied health professionals to adopt electronic health records.
There has been limited uptake of electronic health records (EHR) by allied health professionals. Yet, not much attention has been given to their information needs. For EHR to work for these health professionals, it is essential to understand their current practice of information management and their perceptions towards EHR. ⋯ It appears that allied health professionals today are information technology (IT) savvy and ready to adopt EHR. EHR for allied health practices in Australia are long overdue. The health informatics community can no longer ignore the need and want of allied health professionals for EHR that are tailored and built to support their information and practice management.
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Stud Health Technol Inform · Jan 2014
Combining patient journey modelling and visual multi-agent computer simulation: a framework to improving knowledge translation in a healthcare environment.
This article focuses on a framework that will investigate the integration of two disparate methodologies: patient journey modelling and visual multi-agent simulation, and its impact on the speed and quality of knowledge translation to healthcare stakeholders. Literature describes patient journey modelling and visual simulation as discrete activities. ⋯ The test-bed is ambulatory care and the goal is to determine if this approach can improve health services delivery, workflow, and patient outcomes and satisfaction. The multidisciplinary research team is comprised of expertise in patient journey modelling, simulation, and knowledge translation.
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Early detection of outbreak of a disease may help in timely and effective public health interventions. Our motivation for this work is to assist EHD planning officer to analyze the incidence data and based on it declare whether there is an outbreak or not. In this paper, we develop ensemble of multiple techniques for detecting dengue disease outbreak. These techniques are applied to dengue incidence data from Singapore and results are summarized.