Module 2 Flashcards
(384 cards)
Key to developing a complete understanding of patient’s concerns
Problem list
The bits of information that are distracting and draw your thinking away from central issues
Red herrings
Three diagnosis for every disease:
The one that unifies what you’ve learned
The one you cannot afford to miss
The one it actually is
States that the single simplest cause is the most likely diagnosis
Occam’s Razor
Implies that there can be several simultaneous diagnosis
Hickman’s Dictum
T or F; Clinial reasoning becomes complex because of the emotions of ONLY the patient
False, it is the patient and the healthcare provider
The patient’s need for self determination
Autonomy
Suggests that choices exist and a patient may choose between alternatives
Autonomy
Do good for the patient
Beneficence
Do no harm to the patient
Nonmalificence
Consider appropriate use of resources with concern for the greater good of the larger community
Utilitarianism
Recognize the balance between autonomy and competing interests of the family and community
Fairness and justice
Our dutiful responsibilities for offering care are established by tradition and in cultural contexts
Deontologic imperatives
Knowledge is to be free of ________, _________, and __________
Beliefs, attitudes, and values
Our decision making must have a balance between ___________ and _____________
Mechanism and probabilism
T or F: certainty in knowledge is impossible
True
The ability of an observation to identify correctly those who have a disease
Sensitivity
The ability of an observation to identify correctly those who do not have a Disease
Specificity
An expected observation that is found when the disease characterized by that observation is present
True positive
An expected observation that is not found when the disease characterized by that observation is not present
True negative
An observation made that suggests a disease when that disease is not present
False positive
An observation that suggests a disease is not present when in fact it is
False negative
The proportion of persons with an observation characteristic of a disease who have it
Positive predictive value
The proportion of persons with an expected observation who ultimately prove not to have the expected condition
Negative predictive value