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  2. 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 ...

  3. Healthcare industry - Wikipedia

    en.wikipedia.org/wiki/Healthcare_industry

    This is an accepted version of this page This is the latest accepted revision, reviewed on 9 December 2024. Economic sector focused on health An insurance form with pills The healthcare industry (also called the medical industry or health economy) is an aggregation and integration of sectors within the economic system that provides goods and services to treat patients with curative, preventive ...

  4. Six forces model - Wikipedia

    en.wikipedia.org/wiki/Six_forces_model

    The six forces model is an analysis model used to give a holistic assessment of any given industry and identify the structural underlining drivers of profitability and competition. [ 1 ] [ 2 ] The model is an extension of the Porter's five forces model proposed by Michael Porter in his 1979 article published in the Harvard Business Review "How ...

  5. Health economics - Wikipedia

    en.wikipedia.org/wiki/Health_economics

    Health economics is important in determining how to improve health outcomes and lifestyle patterns through interactions between individuals, healthcare providers and clinical settings. [2] In broad terms, health economists study the functioning of healthcare systems and health-affecting behaviors such as smoking, diabetes, and obesity.

  6. Artificial intelligence in healthcare - Wikipedia

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

    A large part of industry focus of implementation of AI in the healthcare sector is in the clinical decision support systems. As more data is collected, machine learning algorithms adapt and allow for more robust responses and solutions. [111] Numerous companies are exploring the possibilities of the incorporation of big data in the healthcare ...

  7. GIS and public health - Wikipedia

    en.wikipedia.org/wiki/GIS_and_public_health

    For example, geographic analysis of health care data from North Carolina showed that just over 40% of the records contained errors of some sort in the geographic information (city, county, or zip code), errors that would have gone undetected without the visual displays provided by GIS. [3]

  8. Iron Triangle of Health Care - Wikipedia

    en.wikipedia.org/wiki/Iron_Triangle_of_Health_Care

    The concept of the Iron Triangle of Health Care was first introduced in William Kissick’s book, Medicine’s Dilemmas: Infinite Needs Versus Finite Resources in 1994, describing three competing health care issues: access, quality, and cost containment. [1] [2] Each of the vertices represents identical priorities. Increasing or decreasing one ...

  9. Cost–utility analysis - Wikipedia

    en.wikipedia.org/wiki/Cost–utility_analysis

    Cost–utility analysis (CUA) is a form of economic analysis used to guide procurement decisions. The most common and well-known application of this analysis is in pharmacoeconomics , especially health technology assessment (HTA).