OpenText 擁有數十年的專業知識,可幫助您釋放資料、連結人員和流程,並以信任推動 AI
在您的企業中無縫統一資料,消除孤島、改善協作並降低風險
做好 AI 準備,並將您的資料轉化為結構化、可存取且優化的資訊
滿足法規和合規要求,並讓資訊在整個生命週期中受到保護
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利用 AI 內容管理和智能 AI 內容助手提升工作效率
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提升客戶溝通與體驗,促進客戶成功
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AI 了解您的企業、您的資料與您的目標
迎向更快速的決策。您的安全個人 AI 助理已經準備好開始工作
利用供應鏈的相關生成式 AI 獲得更深入的見解
利用 AI 內容管理和智能 AI 內容助手提升工作效率
加快應用程式的交付、開發和自動化軟體測試
提升客戶溝通與體驗,促進客戶成功
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以具備 AI 的內容管理解決方案重新構想知識
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安全資訊管理與可信賴的 AI 相遇
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一個可以使用資料語言建置、部署和迭代代理程式的地方
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專業服務專家協助您踏上 AI 旅程
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AI 了解您的企業、您的資料與您的目標
迎向更快速的決策。您的安全個人 AI 助理已經準備好開始工作
利用供應鏈的相關生成式 AI 獲得更深入的見解
利用 AI 內容管理和智能 AI 內容助手提升工作效率
加快應用程式的交付、開發和自動化軟體測試
提升客戶溝通與體驗,促進客戶成功
賦能使用者、服務代理和 IT 人員,讓他們找到所需的答案
Barnes-Jewish HospitalOpenText delivers adaptive data warehouse and AI-supported data-driven decision making

Barnes-Jewish Hospital’s mission is to take exceptional care of people by providing world-class healthcare in a compassionate, respectful, and responsive way. The Barnes-Jewish Data Management team aims to support this by enabling data-driven decision making at all levels of healthcare delivery.
The Data Management team looked for a solution to integrate data with its sources in an easily reusable fashion, structuring the data according to analysis requirements. Business rules, use cases, and vocabulary are changing continuously, and so this model needs to be flexible enough to adapt easily. The technical challenges the team was facing included an incumbent database with very wide tables (greater than 570 columns), a reporting challenge with dozens of table joins, billions of rows of raw data, and a system with high CPU and memory consumption.
The team designed a new adaptive data warehouse, with common, linkable vocabulary. The data warehouse takes source data from financial, administrative, HR, Electronic Health Records (EHR), operational, and departmental systems. These previously siloed systems all come together in the data warehouse to be leveraged by all clinical business functions.
The data warehouse is underpinned by OpenText™ Vertica™ Analytics Platform, using Tableau as a presentation layer. Tableau extends OpenText™ Vertica™ with fine-grained, visual analysis. This seamless integration provides quick and easy big data visualization with interactive dashboards that let users drill-down, to ask real-time questions and receive answers.
Comprehensive data governance has established a clear accountability structure. Team roles and responsibilities, as well as tasks and goals, are clearly defined and agreed. Everyone involved with the data works according to established information sharing policies and data use agreements. A data dictionary and data quality management tools were introduced. With standardized reports and scorecards through out the process, data and business owners have joint responsibility for the data quality.
By closely collaborating with frontline clinical business partners, prioritizing goals, modernizing the infrastructure to allow a data driven approach, and automating processes, the Data Management team supports operational needs while complying with Barnes-Jewish Hospital’s strict security guidelines.

Barnes-Jewish Hospital at Washington University Medical Center is the largest hospital in Missouri and the largest private employer in the St. Louis region. An affiliated teaching hospital of Washington University School of Medicine, Barnes-Jewish Hospital has a 1,800 member medical staff with many who are recognized as Best Doctors in America. They are supported by residents, interns, and fellows, in addition to nurses, technicians, and other health-care professionals.