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2. Enterprise master patient index - Wikipedia

   en.wikipedia.org/wiki/Enterprise_master_patient...

   In computing, an enterprise[-wide] master patient index is a form of customer data integration (CDI) specific to the healthcare industry.Healthcare organizations and groups use EMPI to identify, match, merge, de-duplicate, and cleanse patient records to create a master index that may be used to obtain a complete and single view of a patient.

3. List of open-source health software - Wikipedia

   en.wikipedia.org/wiki/List_of_open-source_health...

   Galaxy is a web platform for data-intensive biology using geographically-distributed supercomputers. [56] LabKey Server is an extensible platform for integrating, analyzing and sharing all types of biomedical research data. It provides secure, web-based access to research data and includes a customizable data processing pipeline.

4. Integrating the Healthcare Enterprise - Wikipedia

   en.wikipedia.org/wiki/Integrating_the_Healthcare...

   A group of systems that implement the same integration profile address the need/scenario in a mutually compatible way. For example, the Digital Imaging and Communications in Medicine (DICOM) standards specify many different formats for image data. A given set of images that might comply with some optional parts of the standards might still not ...

5. Artificial intelligence in healthcare - Wikipedia

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

   Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.

6. 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 ...

7. Data integration - Wikipedia

   en.wikipedia.org/wiki/Data_integration

   Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).