Studies in health technology and informatics
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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
Automatic system testing of a decision support system for insulin dosing using Google Android.
Hyperglycaemia in hospitalized patients is a common and costly health care problem. The GlucoTab system is a mobile workflow and decision support system, aiming to facilitate efficient and safe glycemic control of non-critically ill patients. Being a medical device, the GlucoTab requires extensive and reproducible testing. ⋯ In 144 data points (12.1%), calculation errors of physicians and nurses in the PBCT were detected. The test framework was able to verify manual calculation of insulin doses and detect relatively many user errors and workflow anomalies in the PBCT data. This shows the high potential of the electronic decision support application to improve safety of implementation of an insulin titration protocol and workflow management system in clinical wards.
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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
Using the intubating laryngeal tube in a manikin - user evaluation of a new airway device.
This work describes the use of a new intubation device, the intubating laryngeal tube (iLTA) as developed by Boedeker. Emergency Department residents and staff from the University of Nebraska Medical Center performed intubations using the Laerdal Difficult Airway Trainer Manikin(TM). The participants' perceived value of the intubating laryngeal tube as well as its efficacy in intubation performance were measured and found to be highly favorable.
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Casemix systems are used in many countries around the world. The reasons for the popularity of casemix systems will be clear once their design features and applications are explained. The specific design issues for acute and other health care settings are discussed, along with their application to paying for care, utilisation review, quality assurance and clinical governance. The quality of the data is important to the integrity of these systems, and the chapter closes with a discussion of the causes of errors in the data and how the quality can be improved.