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По этой причине врачи часто ищут мнения других экспертов, чтобы либо подтвердить план лечения, либо рассмотреть новый подход, основанный на подтверждающих доказательствах, что потенциально повышает доверие к их решениям о лечении.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \"><br /></span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Недавние исследования продолжают демонстрировать, что </span>IBM Watson для онкологии согласует информацию<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">с врачами по всему миру.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \"><br /></span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold; \">Особенности</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \"><br /></span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Объем информации, доступной для принятия решений о лечении рака, растет экспоненциально. Тем не менее, время, необходимое для того, чтобы потреблять информацию, определяющую информацию, специфичную для уникальных потребностей каждого пациента, чтобы потенциально улучшить результаты лечения, является более ограниченным, чем когда-либо.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \"><br /></span>\r\n<span style=\"background-color: rgb(255, 255, 255); \">IBM Watson для онкологии</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">помогает врачам быстро идентифицировать ключевую информацию в медицинской карте пациента, наглядные данные и изучить варианты лечения.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \"><br /></span>\r\n<span style=\"background-color: rgb(255, 255, 255); \">IBM Watson для онкологии </span>\r\n<ul><li>анализирует растущий объем медицинской литературы, опытов, статей и данных пациентов</li><li>понимает лонгитюдные медицинские записи и применить обработку естественного языка и передовые когнитивные алгоритмы для каждого уникального случая пациента.</li><li>создает список возможных вариантов лечения, оцененных по применимости, рекомендованных для рассмотрения и не рекомендуемых.</li></ul>\r\n","shortDescription":"IBM Watson для онкологии - решение для клиник лечения раковых заболеваний, предоставляющее уверенность в решении, основанное на анализе информации","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":12,"sellingCount":2,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"IBM Watson для онкологии - решение для клиник лечения раковых заболеваний","keywords":"IBM Watson, онкология, решение, клиник раковых заболеваний, анализ информации","description":"Рак представляет собой сложную и иногда неуловимую болезнь, и уникальный рак каждого человека может представлять неожиданные проблемы. 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Технологии BI обрабатывают большие объемы неструктурированных данных, чтобы найти стратегические возможности для бизнеса.\r\n\r\nЦель BI — интерпретировать большое количество данных, заостряя внимание лишь на ключевых факторах эффективности, моделируя исход различных вариантов действий, отслеживая результаты принятия решений.\r\n\r\nBI поддерживает множество бизнес-решений — от операционных до стратегических. Основные операционные решения включают в себя позиционирование продукта или цен. Стратегические бизнес-решения включают в себя приоритеты, цели и направления в самом широком смысле. BI наиболее эффективен, когда он объединяет данные, полученные из рынка, на котором работает компания (внешние данные), с данными из источников внутри компании, таких как финансовые и операции с данными (внутренние данные). В сочетании, внешние и внутренние данные дают полную картину бизнеса, которая, создает «интеллект» — быстрое понимание, которое не получить из простого набора данных.\r\n\r\nИсточник: https://ru.wikipedia.org/wiki/Business_Intelligence","materialsDescription":"","iconURL":"https://old.b4r.io/fileadmin/user_upload/business-analytics.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1579,"logoURL":"https://old.b4r.io/fileadmin/user_upload/IBM_Watson_Explorer.png","logo":true,"scheme":false,"title":"IBM Watson для геномики","vendorVerified":0,"rating":"2.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":223,"alias":"ibm-watson-dlja-genomiki","companyTitle":"IBM","companyTypes":["supplier","vendor"],"companyId":177,"companyAlias":"ibm","description":"<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Рак каждого человека уникален, как и его лечение</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Рак оказывает разрушительное воздействие на людей, живущих с болезнью, и их близких, а онкологи сталкиваются с серьезными проблемами, поскольку они работают над тем, чтобы обеспечить эффективную помощь, адаптированную для каждого пациента. В среднем 75% больных раком не будут реагировать на конкретный препарат в классе агентов. Неудивительно, что онкологи все чаще ищут идеи геномики для определения более точных и потенциально эффективных методов лечения.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">В IBM Watson Health мы полагаем, что будущее лечения рака лежит в прецизионной медицине.</span>\r\nОсновные характеристики <span style=\"background-color: rgb(255, 255, 255); \">IBM Watson Health</span><span style=\"background-color: rgb(255, 255, 255); \">для геномики</span>\r\n<span style=\"font-weight: bold; \">Информация, позволяющая клиницистам адаптировать индивидуальные планы лечения</span>\r\nSaas для онкологов предоставляет рецензируемые молекулярные данные, помогающие онкологам создавать персонализированные стратегии лечения для своих пациентов на основе результатов генетического тестирования опухолевой ткани. IBM Watson для геномики анализирует и классифицирует генетические изменения, связанные с прогрессированием рака, и предоставляет список возможных вариантов лечения, которые нацелены на каждое изменение. Интерпретация выполняется в течение нескольких минут, и создается детальный отчет. В итоговой странице отчета перечислены все критические генетические изменения, которые были идентифицированы в анализе, и связывает каждого с терапевтическими вариантами, включая одобренные FDA лекарства и клинические испытания. \r\n<span style=\"font-weight: bold;\">Когнитивная система использует информацию из обширной медицинской литературы и источников данных</span>\r\nWatson для Genomics представляет результаты с помощью гиперссылок к источникам. В разделе отчета о лекарствах содержится подробная информация о выявленных препаратах с обзором, обоснованием ассоциации и уровнем доказательности, а также результатом клинических испытаний.\r\n<span style=\"font-weight: bold;\">Полная интерпретация генов, поддерживающая все типы рака и все размеры генных панелей</span>\r\nВ интерпретации молекулярного профиля подробно излагаются известные генетические изменения, обнаруженные в образце опухоли. Для каждой мутации предоставляется молекулярное и научное доказательство, объясняющее патологическую значимость изменения. 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Поставщик в этой модели самостоятельно управляет приложением, предоставляя заказчикам доступ к функциям с клиентских устройств, как правило через мобильное приложение или веб-браузер.\r\n\r\nОсновное преимущество модели SaaS для потребителя услуги состоит в отсутствии затрат, связанных с установкой, обновлением и поддержкой работоспособности оборудования и работающего на нём программного обеспечения.\r\n\r\nВ модели SaaS:\r\n\r\nприложение приспособлено для удаленного использования;\r\nодним приложением пользуется несколько клиентов (приложение коммунально);\r\nоплата взимается либо в виде ежемесячной абонентской платы, либо на основе объёма операций;\r\nтехническая поддержка приложения включена в оплату;\r\nмодернизация и обновление приложения происходит оперативно и прозрачно для клиентов.\r\nКак и во всех формах облачных вычислений, заказчики платят не за владение программным обеспечением как таковым, а за его аренду (то есть за его использование через мобильное приложение или веб-интерфейс). Таким образом, в отличие от классической схемы лицензирования программного обеспечения, заказчик несет сравнительно небольшие периодические затраты, и ему не требуется инвестировать значительные средства в приобретение прикладной программы и необходимых программно-платформенных и аппаратных средств для его развёртывания, а затем поддерживать его работоспособность. Схема периодической оплаты предполагает, что если необходимость в программном обеспечении временно отсутствует, то заказчик может приостановить его использование и заморозить выплаты разработчику.\r\n\r\nС точки зрения разработчика некоторого проприетарного программного обеспечения модель SaaS позволяет эффективно бороться с нелицензионным использованием программного обеспечения, поскольку программное обеспечение как таковое не попадает к конечным заказчикам. 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