European researchers working on the HEALTH OPTIMUM project are using telemedicine technology to enhance healthcare across Europe while lowering its cost. “We set out to prove the sustainability of telemedical services from an organizational and economic point of view,” says HEALTH OPTIMUM project coordinator Claudio Dario. “In our two years of market validation, we found that telemedicine not only gave advantages from an economic point of view, but was very useful for the needs of patients.” For example, Dario says that before the project most head-trauma patients and possible brain-injury patients were transported by ambulance or helicopter to a neurosurgical center, but once diagnosed many patients did not need the center’s specialized care. The HEALTH OPTIMUM project restructured the entire process. An IT infrastructure was established to support remote, full-service neurosurgical consultation using a hub-and-spoke model. Medical recordkeeping practices also were reorganized to enable computed axial tomography images and lab results to move smoothly and securely between specialized centers and peripheral clinics. The new infrastructure means patients no longer need to be transported from an accident site or emergency call location to a specialized center, but instead can be brought to a regular emergency room, where the patient can be stabilized and tests and other medical data can be digitally sent to the specialists, who can decide if the patient needs specialized care. “Our analysis showed that up to 80 percent of transportations have been avoided by this system, achieving a high level of savings,” Dario says. “In addition, by speeding up expert assessment, telemedicine saves lives.”
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Scientists at the German Research Center for Artificial Intelligence are working on Nepomuk, a project to give computers a human-like capacity to remember. Nepomuk has developed a process that uses semantic technology to support personal information management. Data contained in the traditional computer folder structure are automatically transferred to a personal information model. For example, emails are linked with contact data and images on the hard disk. The resulting connections created between information and concepts are used for storage and search features. For storage, content analysis algorithms create proposals on how new documents should be added to the existing system. The system is similar to a human’s ability to remember the subject of a speech, as well as the face of the person who gave the speech, but not necessarily the person’s name. The brain connects individual elements that it perceives at the same time, and makes associations, such as between conference proceedings and speakers or dates, for example. The new system could help a user find documents related to a subject if they only have a picture of a contact person related to that subject. The semantic network could find the correct documents using the connections from the picture.
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Russian prime minister Vladimir Putin announced that the government would spend more than a tenth of its budget on science and innovation this year. “We have assigned about 1.1 trillion rubles ($36.8 billion), or more than 10 percent of the federal budget, for fundamental and applied sciences, higher education, high-tech medicine, and specialized federal programs,” Putin said. The government increased its science and innovation spending by more than 300 billion rubles in 2009 compared to 2008. The new effort to promote science and innovation includes requiring competition for scientific projects and giving preference to innovative options when the state buys products and services. Separately, Putin announced that Russia has allocated 1.1 billion rubles ($37 million) to develop supercomputer technologies in Russia. Last year Russia launched its fastest supercomputer, Lomonosov, at the Moscow State University’s Research Computing Center. Lomonosov has a peak speed of 420 teraflops and is ranked as the 12th fastest computer in the world.

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