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  2. Artificial intelligence in healthcare - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    For example, a survey conducted in the UK estimated that 63% of the population is uncomfortable with sharing their personal data in order to improve artificial intelligence technology. [135] The scarcity of real, accessible patient data is a hindrance that deters the progress of developing and deploying more artificial intelligence in healthcare.

  3. Business Intelligence Competency Center - Wikipedia

    en.wikipedia.org/wiki/Business_Intelligence...

    Business Intelligence Competency Centers in U.S. Healthcare Next to the U.S. government, the American healthcare industry generates the second largest amount of information every year. However, despite having complex information management needs, a KLAS report revealed that one-third of healthcare organizations do not have the appropriate ...

  4. Health care analytics - Wikipedia

    en.wikipedia.org/wiki/Health_care_analytics

    Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare: (1) claims and cost data, (2) pharmaceutical and research and development (R&D) data, (3) clinical data (such as collected from electronic medical records (EHRs)), and (4) patient behaviors and preferences data (e.g. patient satisfaction or retail ...

  5. Clinical decision support system - Wikipedia

    en.wikipedia.org/wiki/Clinical_decision_support...

    A clinical decision support system (CDSS) is a health information technology that provides clinicians, staff, patients, and other individuals with knowledge and person-specific information to help health and health care. CDSS encompasses a variety of tools to enhance decision-making in the clinical workflow.

  6. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    Predictive analytics is a set of business intelligence (BI) technologies that uncovers relationships and patterns within large volumes of data that can be used to predict behavior and events. Unlike other BI technologies, predictive analytics is forward-looking, using past events to anticipate the future. [ 3 ]

  7. Business intelligence - Wikipedia

    en.wikipedia.org/wiki/Business_intelligence

    Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...

  8. Health technology - Wikipedia

    en.wikipedia.org/wiki/Health_technology

    In the future, nurse call buttons will not be needed in hospitals. Instead, robots will deliver medication, take care of patients, and administer the system. In addition, the electronic health record will look different. Healthcare providers will be able to enter the notes via speech-to-text transcriptions in real-time. [4]

  9. Real-time business intelligence - Wikipedia

    en.wikipedia.org/.../Real-time_business_intelligence

    Real-time business intelligence (RTBI) is a concept describing the process of delivering business intelligence (BI) or information about business operations as they occur. Real time means near to zero latency and access to information whenever it is required. [1] The speed of today's processing systems has allowed typical data warehousing to ...