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  2. Health information management - Wikipedia

    en.wikipedia.org/wiki/Health_information_management

    Healthcare quality and safety require that the right information be available at the right time to support patient care and health system management decisions. Gaining consensus on essential data content and documentation standards is a necessary prerequisite for high-quality data in the interconnected healthcare system of the future.

  3. Clinical data standards - Wikipedia

    en.wikipedia.org/wiki/Clinical_data_standards

    Sentinel Common Data Model: Initially started as Mini-Sentinel in 2008. Use by the Sentinel Initiative of the USA's Food and Drug Administration . OMOP Common Data Model : model that defines how electronic health record data, medical billing data or other healthcare data from multiple institutions can be harmonized and queried in unified way.

  4. Clinical peer review - Wikipedia

    en.wikipedia.org/wiki/Clinical_peer_review

    The PSRO model was not considered to be effective and was replaced in 1982 by a further act of Congress which established Utilization and Quality Control Peer Review Organizations (PROs). This model too was fraught with limitations. Studies of its methods called into question its reliability and validity for peer review. [54]

  5. Clinical decision support system - Wikipedia

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

    **Data Quality and Interoperability**: Dependence on accurate and complete data is crucial for the effectiveness of CDSS. 3. **User Acceptance**: Resistance to change and unfamiliarity with new technology among healthcare providers. 4. **Alert Fatigue**: Overwhelming healthcare providers with excessive alerts and reminders, leading to ...

  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. Reverse Logistics Market to Reach $1.2 Trillion, Globally, by ...

    lite.aol.com/tech/story/0022/20250204/9352651.htm

    This is attributed to the rapid growth of online automotive retail platforms and increase in demand for efficient testing and simulation solutions to ensure product quality and customer satisfaction. E-commerce platforms require robust HIL systems to test automotive components under real-world conditions before they reach customers.

  8. Healthcare Effectiveness Data and Information Set - Wikipedia

    en.wikipedia.org/wiki/Healthcare_Effectiveness...

    In 1993, Version 2.0 of HEDIS was known as the "Health Plan Employer Data and Information Set". [2] Version 3.0 of HEDIS was released in 1997. [1] In July 2007, NCQA announced that the meaning of "HEDIS" would be changed to "Healthcare Effectiveness Data and Information Set." [3]

  9. Dying To Be Free - The Huffington Post

    projects.huffingtonpost.com/projects/dying-to-be...

    “The model that is geared toward alcoholism doesn’t effectively address heroin addiction,” Merrick said. “In a perfect world, we would have a 12-step model integrated with medically assisted therapy.” At least some of the top officials overseeing Kentucky’s response to the opioid epidemic are as open to medications as Merrick is.