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Describe and provide an example of theory-based decision making that you feel applies mostly to healthcare.

Describe and provide an example of theory-based decision making that you feel applies mostly to healthcare.

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Describe and provide an example of theory-based decision making that you feel applies mostly to healthcare.

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Likewise that in light of the fact that a couple of individuals have been improperly killed it is a piece of the better great in light of the quantity of individuals that have been legitimately indicted. Prevention is additionally a major piece of his perspectives on capital punishment. "I trust capital punishment, in view of its certainty, is more dreaded than detainment, and discourages some imminent killings not deflected by the risk of detainment. " Therefore on the off chance that one individual's life is spared by the discouragement factor of a potential killer not slaughtering due to fearing capital punishment it is well justified, despite all the trouble.

Surprisingly, however, most medical decision making research is not explicitly motivated by descriptive scientific theory, hampering its validity and generaliz-ability. (By “descriptive” I mean theory that explains real behavior, as opposed to idealizations of behavior.)

That is, our assignments, procedures, and subjects are inadequately grounded in proof based clarifications concerning the hidden components of genuine human judgment and basic leadership, paying little mind to whether those people are patients, suppliers, or essentially individuals from the general population.

Example, to improve clinicians’ decisions involving tests and treatments.1-3 SMDM members have also developed patient-centered decision aids in a variety of formats for a number of preference-sensitive health care problems.4, 5

The development and testing of these tools have been reported in medical journals with broad circulation, and the tools have been applied in numerous health care settings. However, several barriers have limited their more widespread adoption and use for real-time decision making. A major impediment has been the lack of coherent and evidence-based predictive scientific theory

. Lacking such theory has meant that many clinical approaches and decision tools have been based on assumptions and speculations. Even when use of the tools themselves has been empirically supported, the mechanisms underlying the results were poorly understood, and thus, the tools are not easily generalized to a range of health care decisions. Results obtained with one disease or in one setting have not necessarily been replicated for other diseases or in other settings, for reasons that have remained unclear.

Example, it is now well known that assumptions underlying basic tasks, such as the standard gamble, are debatable. Tversky and Kahneman6 showed long ago that people respond inconsistently to superficially “different” versions of equivalent standard gambles, violating axioms of expected utility theory.

Many endure in evoking wellbeing utilities in spite of known issues with their legitimacy, going from innumeracy of patient populations7,8 to moving evaluations because of reaction organizations or stating of options.9 Other conduct look into raises doubt about the legitimacy of QALYs (quality-balanced life years) and other standard estimates identified with qualities and preferences.10-12

Later research strikes at the core of customary presumptions about what describes great basic leadership, and how to encourage it

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