Professional Autonomy

Professional autonomy is the ability of a qualified practitioner to make informed decisions and accept responsibility for actions within their professional scope, standards, and legal requirements. In clinical practice, it operates through the integration of clinical judgment, scientific evidence, ethical principles, patient preferences, and consultation with the healthcare team. Autonomy does not mean working without oversight; practitioners remain accountable for documenting decisions, communicating effectively, and recognizing when referral or collaboration is necessary. Supporting professional autonomy can strengthen patient-centered care, promote timely responses to changing clinical conditions, and help healthcare professionals apply their expertise responsibly across diverse care settings.

Professional Autonomy - Related Videos

Education

JoVE Core - Nursing

The Professional Nurse

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2023

Professional nurses are not limited to bedside care and are taking roles of greater responsibility. A nurse should have a knowledge-based practice, including personal, theoretical, procedural, cultural, and reflexive knowledge. Additionally, nurses must be competent in cognitive, technical, interpersonal, and ethical/legal skills. Some of the best attributes of successful nurses include the following: Communication skills: These are critical characteristics, especially speaking and listening.

Professional Values

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2023

Nurses are responsible for caring for patients during birth, death, illness, and healing. Professional values guide the decisions and actions that nurses make in their careers. If nurses know the decisions and actions to take, providing patients with exceptional care is possible. The values that are the foundation of the nursing profession are altruism, autonomy, human dignity, and social justice. First, altruism refers to the concern for the welfare and well-being of others without personal...

Research

JoVE Journal - Behavior

Biomechanical Analysis Methods to Assess Professional Badminton Players' Lunge Performance

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Cited by 16 •

2019

Here, we present a protocol to evaluate the differences in injury mechanisms between professional and amateur players when performing a badminton maximal right lunge movement by analyzing lower limb kinematics.

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

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2021

This tutorial describes a simple method to construct a deep learning algorithm for performing 2-class sequence classification of metagenomic data.

Measures of Central Tendency

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2020

The "center" of a data set is also a way of describing location. The two most widely used measures of the "center" of the data are the mean (average) and the median. The words "mean" and "average" are often used interchangeably. The substitution of one word for the other is common practice. The technical term is "arithmetic mean" and "average" is technically a center location. However, in practice among non-statisticians, "average" is commonly accepted for "arithmetic mean." Another measure of...

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