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A training network for introducing telemedicine, telecare and hospital informatics in the Adriatic-Danube-Black Sea region.

DIMNET is a training mechanism for a region of central Europe. The aim is to upgrade the information technology skills of local hospital personnel and preserve their employability following the introduction of medical informatics. DIMNET uses Internet-based virtual classrooms to provide a 200-hour training course in medical informatics. Training takes place in the cities of Drama, Kavala, Xanthi and Varna. So far, more than 600 people have benefited from the programme. Initial results are encouraging. DIMNET promotes a new vocational training culture in the Balkans and is supported by local governments that perceive health-care as a fulcrum for economic development.

Computer Communication Networks↗

The asthma kiosk: a patient-centered technology for collaborative decision support in the emergency department.

The authors report on the development and evaluation of a novel patient-centered technology that promotes capture of critical information necessary to drive guideline-based care for pediatric asthma. The design of this application, the asthma kiosk, addresses five critical issues for patient-centered technology that promotes guideline-based care: (1) a front-end mechanism for patient-driven data capture, (2) neutrality regarding patients' medical expertise and technical backgrounds, (3) granular capture of medication data directly from the patient, (4) formal algorithms linking patient-level semantics and asthma guidelines, and (5) output to both patients and clinical providers regarding best practice. The formative evaluation of the asthma kiosk demonstrates its ability to capture patient-specific data during real-time care in the emergency department (ED) with a mean completion time of 11 minutes. The asthma kiosk successfully links parents' data to guideline recommendations and identifies data critical to health improvements for asthmatic children that otherwise remains undocumented during ED-based care.

Algorithms↗

[The application of biomed-informatics in cardiovascular research--data and knowledge].

With the development of biotechnology, especially the projects which lead to high throughout experimental results, lots of data have been jammed in every related fields, and broke the balance between data and knowledge in these fields. It is urgent to refine these data, and let them be more productive. To avoid these data being decaying into rubbish, technology and theory such as database, statistics, data mining, knowledge management, and artificial intelligence had been applied into biologic and medical study fields. So, a new standalone research subject--biomed-informatics has been formed. This paper reviewed the application of biomed-informatics in cardiovascular research, and gave the view for the future development of this subject.

Animals↗

Interfacing a flow cytometer computer with a PC-based patient information system.

We have established an interface between our flow cytometer's computer and the personal computer (PC) which supports our patient database system. The PC has been equipped with a commercially available IEEE-488 bus interface board which is connected to the interface bus of the cytometer's Hewlett-Packard 9000/300 computer (HP). The PC is set as a bus device with the same address as that of the HP's printer. It is programmed to examine the stream of data sent to the printer and extract from it and store in an MS-DOS text file selected information which subsequently may be transferred to the database system.

Computer Communication Networks↗

Modeling medical prognosis: survival analysis techniques.

Medical prognosis has played an increasing role in health care. Reliable prognostic models that are based on survival analysis techniques have been recently applied to a variety of domains, with varying degrees of success. In this article, we review some methods commonly used to model time-oriented data, such as Kaplan-Meier curves, Cox proportional hazards, and logistic regression, and discuss their applications in medical prognosis. Nonlinear, nonparametric models such as neural networks have increasingly been used for building prognostic models. We review their use in several medical domains and discuss different implementation strategies. Advantages and disadvantages of these methods are outlined, as well as pointers to pertinent literature.

Humans↗

Cross-scale interactions in biomolecular information processing.

Multiple modes of processing, drawing on interactions at multiple physical scales, contribute to the information processing power of biological systems. Conformational processing is central, since it affords a close coupling of nuclear and electronic coordinates, and hence a closely interleaved classical-nonclassical interface that allows biological systems to draw on the superpositional parallelism of the quantum mechanical wave function. Cells and organisms are pictured as percolation networks that mediate highly selective transductions of information between microscopic and macroscopic forms.

Electronics, Medical↗

Bioinformatics and drug discovery.

Bioinformatics involves both the automatic processing of large amounts of existing data and the creation of new types of information resource. Both will be required if the data are to be transformed into information and used to help in the discovery of drugs.

Biotechnology↗

Development of a personal digital assistant-based wireless application in clinical practice.

PURPOSE: Our study aims to develop a personal digital assistant (PDA)-based wireless application in medical information processing by using Bluetooth and IEEE 802.11b wireless standards and SyncML codes. METHODS: In this study, an "integrated database access module" is used to provide a unified integrated access interface while consistency of wireless data transmission is achieved by using the standardized SyncML protocol. A prototype of the system has been developed, implemented, and tested for its mobility, usability, stability, and performance with questionnaire survey. RESULTS: Response time for browsing/searching was usually less than 3s. The average time intervals needed for data transmissions were 68.6+/-8.5s for Bluetooth and 47.0+/-4.8s for 802.11b. The five-point Likert scale (from 1=least to 5=most) questionnaire survey of 30 medical professionals yielded a high degree of satisfaction with the system's mobility (4.18+/-0.89), usability (4.69+/-0.90), stability (3.81+/-0.94), and performance (3.97+/-0.88). CONCLUSION: The results of our study suggested that PDA applications which exploit wireless communication are convenient and feasible in clinical practice.

Computers, Handheld↗