MED ANALYTICS

Brand Owner (click to sort) Address Description
MEDANALYTICS MedAnalytics, Inc. 9303 Cold Stream Lane Eden Prairie MN 55347 MED ANALYTICS; MEDICAL ANALYTICS;Research and consultation in the clinical medical field, namely, study design, data management, research and analysis, provided to healthcare providers, suppliers of medical devices and pharmaceutical products, and suppliers of medical software and medical information management services; Computer software design and installation provided to healthcare providers, suppliers of medical devices and pharmaceutical products, and suppliers of medical software and medical information management services, namely, development of functional specification and design, definition of dataset or data model, development of associated data collection tools and system implementation;
MEDANALYTICS National Academy of Perioperative Echocardiography, Inc. Suite 200 3216 South Highland Dr. Salt Lake City UT 84106 MED ANALYTICS; MEDICINE ANALYTICS; MEDICAL ANALYTICS;Computer database management in the field of medicine and healthcare education, recordkeeping, testing and certification; business management consultation and advisory services, namely, business intelligence, business performance management and business analytics in the field medicine and healthcare education, recordkeeping, testing and certification; business management consultation, namely, development of business analytic systems for medicine and healthcare education, recordkeeping, testing and certification; business consultation to the health care industry in the fields of the development and implementation of medicine and healthcare education, recordkeeping, testing and certification policies, practices, and quality assurance;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. An analytics and data warehousing infrastructure and services system that uses an analytic rather than a transactional data model. The system preferably has at least one extracted source data store, at least one staging data store, and at least one analytic data store. The at least one staging data store preferably has at least one staging data table. The at least one analytic data store preferably has at least one analytic data table for storing transformed data. A staging data table loading algorithm may be used for populating the at least one staging data table with source data. A data transformation algorithm may be used for moving and transforming data from a staging data table into an analytic data store. Other algorithms that may be used in the present invention include algorithms for creating derived variables, creating event proxies, and restructuring data. In one preferred embodiment, the system is a data model based on a clinical rather than a financial understanding of healthcare.