This implies willingness to potentially revise or justify one’s evaluative bases (core assumptions, beliefs, values, etc.). We argue for a further positive duty of good faith engagement in shared decision-making. We argue that this gives rise to a negative patient duty (to not obstruct HCPs in upholding the integrity of the medical profession) which premature consent patients fail to honour. A more plausible position asserts that premature consent threatens the integrity of the medical profession. We argue that this view is not sustainable. But why? What is it that premature consent patients do or get wrong? Davis has argued that premature consent patients are incompetent and misinformed. HCPs are not obliged to respect premature consent patients’ demands for unindicated treatments. parts of the internet) and (iii) resolutely maintained despite the HCP having provided alternative reliable information.
Autoprompt for searches professional#
Davis) denotes patient decisions that are: (i) formulated prior to discussion with the appropriate healthcare professional (HCP) (ii) based on information from unreliable sources (e.g.
The term ‘premature consent’ (introduced in a 2018 paper by J.K. This paper addresses the problem of ‘premature consent’. Tacking on the word with to that string proposed searches about curing cancer with cannabis, as well as with. At the time of writing, a search for cure cancer came up with the sugges- tions cure cancer naturally and cure cancer with diet, and even the pop-up paid advertisements in the sidebar sug- gested "natural" cancer remedies with a toll-free number ostensibly to learn about safe, nontoxic options to treat cancer. After all, if a search for vaccine safety suggests dangers of vaccination instead, how else is autocomplete prompt- ing patients? Figure 1 quickly shows the conundrum. However, the mere existence of autocomplete throws passivity into question. 4 Within the medical community, the inner workings of "Dr Google" are often seen as passive-a black-box search engine that patients use to locate health infor- mation of variable quality. Using undisclosed criteria (such as how often past users have searched for a term and a small set of exclusions) in a mathematical formula, autocomplete proposes similar or "related" search strings to the user. 3 Google explains that auto- complete provides search-term predictions based on the previous aggregate search activities of users and the con- tent of webpages.
We have all laughed at jokes on web- sites like Autocomplete Me, which demonstrate the limi- tations of the system and the very strange search strings that Google might predict. the most part, autocomplete seems largely benign, if not humorous.
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