人工知能の準備と,新卒看護師における影響要因:横断的な研究

Qianqian Yang^1,2, Min Zhao³, Linlin Yang⁴

¹Liaocheng People's Hospital, Medical School, Liaocheng University, Liaocheng, Shandong, China.

Frontiers in medicine

|February 13, 2026

まとめ

新卒看護師は,人工知能 (AI) に適度な準備ができていることを示しています. 認知された使いやすさ,AIの予備訓練,AIの認識は,臨床実務におけるAI採用への準備に大きく影響する.

科学分野:

介護情報学介護情報学
医療における人工知能
技術の採用技術の採用

背景:

新規の資格を持つ看護師は,医療における先進技術の統合に不可欠です.
人工知能 (AI) への準備の理解は,効果的な実施に不可欠です.
テクノロジーの受け入れモデルは,AIの採用を評価するための枠組みを提供し,臨床看護の文脈に適応する必要があります.

研究の目的:

新たに資格を取得した看護師の人工知能 (AI) の準備を調査する.
認識された障壁を含むAIの準備状態に影響を与える要因を特定する.
介護実務におけるAI採用のための技術受容モデルを拡張する.

主な方法:

4つの高等病院の329人の新卒看護師を対象に横断調査を実施しました.
データ収集は,AIの準備度,有用性,使いやすさ,障壁に対する検証されたスケールを用いて行われました.
統計的分析には,SPSS 27.0.0.を使用した記述的統計,相関,および複数の線形回帰が含まれていました.

主要な成果:

新卒看護師は,AIに対する適度な準備が示された (M=9.85,SD=1.97).
AIの準備の有意な予測要因には,知覚された使いやすさ (β=0.211,p=0.006),AIの以前のトレーニング (β=0.23,p<0.001),AIの認識 (β=0.201,p=0.018) が含まれていた.
認知された障壁は (例えば,AI知識の欠如,限られたコンピュータスキルなど) 広く知られていても,回帰分析における準備度を有意に予測することはなかった.

結論:

新しい資格を持つ看護師のAIの準備は,使用の簡単さ,事前のトレーニング,そして意識が重要なものと認識され,多要素です.
知識のギャップや限られたコンピュータスキルなどの実用的な課題に取り組むことは不可欠です.
AIトレーニングの強化,システムの使いやすさの改善,適切なサポートの提供は,看護におけるAIの採用を強化するために必要である.

キーワード:

人工知能の準備ができていること新規資格の看護師を募集しています.感知された障壁.認識された使いやすさテクノロジーの受け入れモデル

さらに関連する動画

09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.8K

05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

1.2K

関連する概念動画

01:50

Cross-Sectional Research

12.7K

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...

12.7K

01:30

Biological Influences on Intelligence

577

Intelligence is often thought to be linked to brain size, but the relationship is more complex than that. While brain size does correlate modestly with some abilities, like verbal skills, the connection is weaker for others, such as spatial reasoning. Other factors, like brain structure, also play crucial roles. For instance, despite Einstein's smaller-than-average brain, his parietal cortex, which is involved in spatial reasoning, was 15% wider, suggesting that neural density might matter...

577

01:29

Environmental Influences on Intelligence

967

Despite the strong genetic influence on traits like intelligence, environmental factors significantly shape outcomes. For example, while over 90% of height variation is due to genetic differences, environmental factors such as nutrition also have a notable impact. Similarly, for intelligence, changes in a child's surroundings can significantly alter their IQ. Research shows that enriched environments boost children's academic success and help them develop key cognitive skills. Children...

967

01:22

Bioavailability: Influencing Factors

405

Bioavailability refers to the extent and rate at which a drug reaches systemic circulation in its active form. Extent refers to the amount of the drug that makes it into circulation, while rate is the speed at which it enters circulation. It is influenced by several factors critical for optimizing drug formulations, dosing regimens, and therapeutic outcomes.Physicochemical properties of drugs and formulationsThe solubility, stability, and dissolution rate of a drug significantly impact its...

405

01:24

Finding Volume Using Cross-Sectional Area

For solids whose cross-sectional areas vary in a predictable way, volume can be determined by integrating these areas along an axis perpendicular to the slices. This approach is particularly useful for polyhedral solids, where classical geometric formulas may not be immediately applicable. A tetrahedron provides a clear example of how cross-sectional integration can be applied to a three-dimensional object with continuously changing geometry.Consider a tetrahedron with height h and a base that...

01:26

Profile Leveling and Cross Sections

1.7K

Profile leveling and cross-sections are surveying methods used to determine and document terrain elevations for infrastructure projects such as highways, railroads, canals, and pipelines. These methods provide data for earthwork planning and alignment of proposed routes. Profile leveling involves measuring elevations along a fixed line to create a vertical terrain profile. A surveyor sets up a leveling instrument at the benchmark (BM) and records a backsight (BS) to determine the...