J Med Syst
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Nurses are the foundation of any healthcare system. It is essential to alert nurses on time so that they can offer care and comfort without any delay. Pager messages (short messages) represent an important part of the overall hospital communication network. ⋯ With this overall design, pager messages can be sent from any computer that has an Internet connection on the hospital network. A logging scheme is also introduced to assess the performance of the TAP. NET.
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A regional telemedicine hub, providing linkage of a telemedicine command center with an extended network of clinical experts in the setting of a natural or intentional disaster, may facilitate future disaster response and improve patient outcomes. However, the health benefits derived from the use of telemedicine in disaster response have not been quantitatively analyzed. In this paper, we present a general model of the application of telemedicine to disaster response and evaluate a concept of operations for a regional telemedicine hub, which would create distributed surge capacity using regional telemedicine networks connecting available healthcare and telemedicine infrastructures to external expertise. Specifically, we investigate (1) the scope of potential use of telemedicine in disaster response; (2) the operational characteristics of a regional telemedicine hub using a new discrete-event simulation model of an earthquake scenario; and (3) the benefit that the affected population may gain from a coordinated regional telemedicine network.
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In this paper, we present a three-stage expert system based on a hybrid support vector machines (SVM) approach to diagnose thyroid disease. Focusing on feature selection, the first stage aims at constructing diverse feature subsets with different discriminative capability. Switching from feature selection to model construction, in the second stage, the obtained feature subsets are fed into the designed SVM classifier for training an optimal predictor model whose parameters are optimized by particle swarm optimization (PSO). ⋯ Experimental results demonstrate that FS-PSO-SVM significantly outperforms the other ones. In addition, Compared to the existing methods in previous studies, the proposed system has achieved the highest classification accuracy reported so far by 10-fold cross-validation (CV) method, with the mean accuracy of 97.49% and with the maximum accuracy of 98.59%. Promisingly, the proposed FS-PSO-SVM expert system might serve as a new candidate of powerful tools for diagnosing thyroid disease with excellent performance.
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Electronic anamnesis is to transform ordinary paper trails to digitally formatted health records, which include the patient's general information, health status, and follow-ups on chronic diseases. Its main purpose is to let the records could be stored for a longer period of time and could be shared easily across departments and hospitals. Which means hospital management could use less resource on maintaining ever-growing database and reduce redundancy, so less money would be spent for managing the health records. ⋯ In order to verify the reliability of the proposed system framework, we have also conducted a security analysis to list all the possible security threats that may harm the system and to prove the system is reliable and safe. If the system is adopted, the doctors would be able to quickly access the information while performing medical examinations. Hence, the efficiency and quality of healthcare service would be greatly improved.
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Accurate Diagnosis of lung disease depends on understanding the sounds emanating from lung and its location. Lung sounds are of significance as they supply precise and important information on the health of the respiratory system. In addition, correct interpretation of breath sounds depends on a systematic approach to auscultation; it also requires the ability to describe the location of abnormal finding in relation to bony structures and anatomic landmark lines. ⋯ Adventitious sounds from different location can be detected. It is common to seek confirmation of the sound detection and its location using invasive and potentially harmful imaging diagnosis techniques like x-rays. To overcome this limitation and for fast, reliable, accurate, and inexpensive diagnose a technique is developed in this research for identifying the location of infection through a computerized auscultation system.