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  2. Risk matrix - Wikipedia

    en.wikipedia.org/wiki/Risk_matrix

    Risk is the lack of certainty about the outcome of making a particular choice. Statistically, the level of downside risk can be calculated as the product of the probability that harm occurs (e.g., that an accident happens) multiplied by the severity of that harm (i.e., the average amount of harm or more conservatively the maximum credible amount of harm).

  3. Job-exposure matrix - Wikipedia

    en.wikipedia.org/wiki/Job-exposure_matrix

    A job-exposure matrix (JEM) is a tool used to assess exposure to potential health hazards in occupational epidemiological studies.. Essentially, a JEM comprises a list of levels of exposure to a variety of harmful (or potentially harmful) agents for selected occupational titles.

  4. Swiss cheese model - Wikipedia

    en.wikipedia.org/wiki/Swiss_cheese_model

    Applications include aviation safety, engineering, healthcare, emergency service organizations, and as the principle behind layered security, as used in computer security and defense in depth. Although the Swiss cheese model is respected and considered a useful method of relating concepts, it has been subject to criticism that it is used too ...

  5. Number needed to harm - Wikipedia

    en.wikipedia.org/wiki/Number_needed_to_harm

    Intuitively, the lower the number needed to harm, the worse the risk factor, with 1 meaning that every exposed person is harmed. NNH is similar to number needed to treat (NNT), where NNT usually refers to a positive therapeutic result and NNH to a detrimental effect or risk factor. Marginal metrics: NNT for an additional beneficial outcome (NNTB)

  6. Risk–benefit ratio - Wikipedia

    en.wikipedia.org/wiki/Risk–benefit_ratio

    For research that involves more than minimal risk of harm to the subjects, the investigator must assure that the amount of benefit clearly outweighs the amount of risk. Only if there is a favorable risk–benefit ratio may a study be considered ethical .

  7. AI meets 'Do no harm': Healthcare grapples with tech promises

    www.aol.com/finance/ai-meets-no-harm-healthcare...

    The overall market for AI in healthcare is expected to grow to $188 billion by 2030 from $11 billion in 2021, according to Precedence Research.The market for clinical software alone is expected to ...

  8. Haddon Matrix - Wikipedia

    en.wikipedia.org/wiki/Haddon_Matrix

    The Haddon Matrix is the most commonly used paradigm in the injury prevention field. Developed by William Haddon in 1970, the matrix looks at factors related to personal attributes, vector or agent attributes and environmental attributes; before, during and after an injury or death. By utilizing this framework, one can then think about ...

  9. Patient safety - Wikipedia

    en.wikipedia.org/wiki/Patient_safety

    Discovering that patient safety had become a frequent topic for journalists, health care experts, and the public, it was harder to see overall improvements on a national level. What was noteworthy was the impact on attitudes and organizations. Few health care professionals now doubted that preventable medical injuries were a serious problem.