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This paper reports an experience in the setting-up and evaluation of a telemedicine solution to provide an electroencephalography service between a secondary hospital placed in Calahorra (Calahorra Hospital Foundation, FHC) and a tertiary hospital placed in Logrontildeo (San Pedro Hospital, HSP) both in La Rioja, Spain. We have evaluated technical and clinical aspects of the tele-EEG (electroencephalography)...
Choosing diagnosis codes is a non-intuitive operation for the practitioner. Mistakes are frequent with severe consequences on healthcare evaluation and funding. French physicians have to assign a code for everything they do and they are not spared with these kinds of errors. We propose a tool named REFEROCOD to support the medical coding task in order to minimize errors without losing time, by suggesting...
Cluster analysis is an important branch and effective tool for data mining. And cluster analysis has long played an important role in a wide variety of fields. The traditional Chinese medicine (TCM) diagnosis has been a challenging research problem. This paper introduces an original study between cluster analysis and the symptoms and signs of in patients with UA. We report a cluster analysis to evade...
Fewer than one in four Canadian doctors use electronic medical record (EMR) systems, although almost all have some form of computer for scheduling and billing purposes. As a result, patient clinical records are mostly on paper, and are scattered and often inaccessible in doctors' offices, clinics, test centres, labs, and hospitals. To properly care for their patients, primary care practitioners must...
This paper presents a new screening test for Obstructive Sleep Apnea-Hypopnea (OSAH) Syndrome based on a PDA platform capable of recording the patient's electrocardiogram during his/her nightly rest. OSAH patients present alterations in certain bands of the heart rate variability power spectrum. The more serious the disorder afflicting the patient it is, the greater these alterations are. An algorithm...
This study targeted at personalized medical cares under electronic environment of information technology and the treatment of smart nano-drug carriers in biomedical engineering clinical applications of the future. Nowadays, the trend of large-scale striking to hospitals, the requirements of patients asking for better medical services. Based on multiple requests, hospitals will need e-working environment...
Background: At present, passive alarm system from culture reports and announced from groups outbreak events make cases investigate delayed. Is there any predict factor can be used to suggest active high capture sensitivity surveillance and alarm outbreak early? Objectives: Is there any predict factor can be used to get active high capture sensitivity surveillance of hospital-acquired infections (HAI)...
According to the waveform distortion problem existed in the portable ambulatory electrocardiogram (ECG) monitoring system and analyzing the wireless Bluetooth technology working principle used in portable ECG monitoring system, the paper proposes an overall design idea of portable ambulatory ECG monitoring system based on Bluetooth and implementation program of system hardware and software . It can...
In this paper we present an analysis of the importance of cost sensitive methodology in medical disease prediction. And a C5.0 based cost sensitive ensemble approach is presented to support improving the effectiveness and decreasing the misdiagnosis cost in the same time. The verification is conducted on the real cases from Changhai Hospital Renal Registered (CHRR) data which consists of 483 records,...
The paper deals with medical temporal scales based on both the chronologic time of the physician who observes the patient, the proper inner time of the patient (related to the circadian rhythms of his major physiologic variables) and the disease duration, estimated here by using the hospital stay (for this pathology) duration. We show that patients inside homogeneous Diagnosis Related Groups can be...
In this study, the multivariate probability distribution was investigated to develop the expert knowledge-based automatic sleep stage determination technique. The ultimate purpose is to develop adaptive automatic sleep stage determination algorithm for clinical practice. Gaussian distribution was adopted to realize automatic parameter selection while Cauchy distribution was adopted to estimate the...
Today some clinics and hospitals in the country are looking for cost reduction and optimization of resources in response to new trends in administration, for that reason is not possible to have specialists in each hospital or health center. This project proposes a solution through the use of the technology to the current problems and suggests the development of a system that allows a general doctor...
Large-scale, multisite collaboration has become indispensable for a wide range of research and clinical activities that rely on the capacity of individuals to dynamically acquire, share, and assess images and correlated data. In this paper, we report the development of a Web-based system, PathMiner , for interactive telemedicine, intelligent archiving, and automated decision support in pathology....
The application of knowledge grid technology in the process of TCM diagnosis and therapy is introduced in this paper. The idea that combines knowledge grid and PACS with digital hospital system to integrate mass heterogeneous medical data is proposed. Then, a meta-model of diagnosis and treatment process of TCM in grid databases is designed. Anyway, the application of knowledge grid can eliminate...
Computer has been becoming the tools of medical works. IT becomes more and more critical for hospital staffs. But the development between IT system in hospital and increase of clinic medical practitioner is not equal. So, to enforce new ideas and collaboration between researchers and practitioners is very important at this stage. Therefore, we select procedure chain about a CAD patient to discuss...
Hospitals can be viewed as service enterprises, whose products are specific sets of medical services provided to individual patients. It indicates that a hospital in theory has a product line as extensive as the number of patients it serves, however, each patient has certain diagnosis and therapeutic attributes in common with some other patients. Thus, patients with similar medical attributes could...
Medical market is in highly asymmetric information and heterogeneity so that the task to identify the quality of physicians' medical service is difficult. Physicians can easily snatch information rent with dominance of information, which lowers the efficiency of medical market. A static Bayesian game model between physician and patient is developed to analyze the medical market efficiency. The results...
It is generally accepted that early and specialized pre-hospital patient treatment improves outcome in terms of mortality and morbidity, in emergency cases. The focus of this paper is to propose a telemedicine system for pre-hospital patient treatment. One of the primary emphases of the propose system is on the transmission of patient vital signs from the accident site or the moving ambulance to the...
This paperpsilas aim is to present a kind of monitoring method about information technology. Through regular monitoring and tracking, we calculate kinds of different characteristic parameters. These parameters constitute the patientpsilas database. Analysis with these characteristic parameters shows the changing trend of the characteristic curve. By comparing the curve between the patient and the...
In this paper, we describe a new framework for healthcare systems where patients are able to control the disclosure of their medical data. In our framework, the patient's consent has a pivotal role in granting or removing access rights to subjects accessing patient's medical data. Depending on the context in which the access is being executed, different consent policies can be applied. Context is...
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