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13 Excellent Ethics Training Examples

Etactics

An LRN survey reports that 82% of employees would receive less compensation for a more ethical work environment. From this survey, we can observe that strong ethics in the business place is very important to employees. At least not with ethical issues. However, these should never undercut ethical values.

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A Precautionary Approach to Touch in Psychedelic-Assisted Therapy

Bill Of Health

Amid accelerating interest in the use of psychedelics in medicine, a spate of recent exposés have detailed the proliferation of abuse in psychedelic therapy, underscoring the urgent need for ethical guidance in psychedelic-assisted therapies (P-AT), and particularly relating to touch and consent. Mithoefer & Haden ).

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Ethical Challenges Associated with the Protection of Pets in War

Bill Of Health

(Photo: Sign at the central train station in Berlin (Berlin Hauptbahnhof) that offers free support for pet owners coming from Ukraine. A problem of classification: What kind of ethics and which animals do we protect? A problem of classification: What kind of ethics and which animals do we protect? Courtesy of Kristin Sandvik.).

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Why AI Will Never Replace Therapists

Icanotes

In this blog, we'll explore why AI will never replace therapists and delve further into the indispensable role therapists, psychiatrists and all mental health professionals have in the betterment of individuals' mental health. Here's another example. The lack of ability to comprehend nonverbal cues makes AI ineffective.

Nursing 52
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Values-based Leadership

Pro CRNA

Frontline leaders who work at the grassroots level where provider priorities collide with the patient’s needs and expectation are especially challenged daily to keep the train on the tracks. career development blog notes that following a shared set of beliefs increases employee collaboration and increases productivity. Indeed.com.

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FDA Solicits Feedback on the Use of AI and Machine Learning in Drug Development

Bill Of Health

” In this blog post, I will summarize the main themes of the discussion paper, highlighting areas where FDA seems particularly concerned, and detailing how interested parties can engage with the agency on these issues. However, the paper goes on to explore the use cases of AI/ML in later stages of drug development as well.

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Shift Happens

Geek Doctor

For example, the patient demographics used to create a model may no longer represent the patient population when the algorithm is put into clinical use. Another example worth noting: Some algorithms designed to help detect COVID 19 by analyzing X-rays suffer from this shortcoming.