Studies in health technology and informatics
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Stud Health Technol Inform · Jan 2013
Multicenter StudyExamination of changes in pathology tests ordered by Diagnosis-Related Group (DRGs) following CPOE introduction.
Electronic test ordering, via the Electronic Medical Record (EMR), which incorporates computerised provider order entry (CPOE), is widely considered as a useful tool to support appropriate pathology test ordering. Diagnosis-related groups (DRGs) are clinically meaningful categories that allow comparisons in pathology utilisation by patient groups by controlling for many potentially confounding variables. This study used DRG data linked to pathology test data to examine changes in rates of test ordering across four years coinciding with the introduction of an EMR in six hospitals in New South Wales, Australia. ⋯ We investigated patients with a Chest pain DRG to examine whether tests rates changed for specific test groups by hospital emergency department (ED) pre- and post-EMR. There was little change in testing rates between EDs or between time periods pre- and post-EMR. This is a valuable method for monitoring the impact of EMR and clinical decision support on test order rates.
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Stud Health Technol Inform · Jan 2013
Controlled Clinical TrialEndotracheal intubation with a traditional videolaryngoscope blade versus an integrated suction blade in a hemorrhagic airway cadaver model.
Lightly embalmed hemorrhagic cadaver models and the Storz CMAC videolaryngoscope fitted with either an integrated suction blade vs. a traditional blade were used to determine efficacy of the instruments in hemorrhagic airway intubation. Significant differences were found between the devices in intubation success rates of the viscosity saliva and frothy blood models, as well as a significant difference in intubation times in the frothy blood model. Feedback provided by the study participants indicated preference for the integrated video suction blade in hemorrhagic airway intubation.
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Stud Health Technol Inform · Jan 2013
A guideline-based decision support system for headache diagnosis.
The ratio of correct diagnosis for primary headache has always been relatively low for general practitioners due to the unacquaintance with headache guideline in Chinese primary hospitals. This study proposed a computerized headache guideline method using SAGE module and developed a decision support system for headache diagnosis, which could be expected to help general practitioners of primary hospitals improve diagnostic accuracy. 282 previously diagnosed cases from EMR were used to evaluate the diagnostic accuracy of the system, the result is: migraine 144/153 (94.1%), tension-type headache 89/100 (89.0%), cluster headache 10/11 (90.9%) and chronic daily headache 53/57(93.0%). The proposed system is in the starting phase of the implementation at the outpatient department of Neurology in Chinese PLA general hospital.
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Stud Health Technol Inform · Jan 2013
Case-based reasoning in Intelligent Health Decision Support Systems.
Decision-making is a crucial task for decision makers in healthcare, especially because decisions have to be made quickly, accurately and under uncertainty. Taking into account the importance of providing quality decisions, offering assistance in this complex process has been one of the main challenges of Artificial Intelligence throughout history. ⋯ This paper deals with Intelligent Decision Support Systems that are integrated into Electronic Health Records Systems (EHRS) or Public Health Information Systems (PHIS). It provides comprehensive support for a wide range of decisions with the purpose of improving quality of care delivered to patients or public health planning, respectively.
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Stud Health Technol Inform · Jan 2013
Mobility and health information searches - a Swedish perspective.
Today the first point of contact between a patient and health care is often an internet health portal - not a human. There is also a trend towards increased use of mobile devices for internet searching. ⋯ Our findings indicate that there is a difference in not only when people search for health information, but also the type of information searched for using different devices. We conclude that further analysis is needed to understand these differences, and consequently that the same portal solution may not suit both mobile and non-mobile health information seekers.