学生药剂师对人工智能和机器学习在药房实践和药房教育中的看法
Xiangjun Zhang1, Chi Chun Steve Tsang1, Destiny D Ford1
1University of Tennessee Health Science Center College of Pharmacy, Department of Clinical Pharmacy & Translational Science, Memphis, TN, USA.
学生药剂师对药房中的人工智能 (AI) 和机器学习 (ML) 持乐观态度,但需要更多的教育. 他们看到了诸如精度和时间节省等好处,但也看到了诸如警觉疲劳和对患者护理的潜在影响等挑战.
科学领域:
- 药房教育 教育 药房教育
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 越来越多地被认为具有改变医疗保健的潜力.
- 了解未来的药房专业人员对AI/ML的看法对于成功融入实践至关重要.
研究的目的:
- 探索学生药剂师对AI和ML在药房中的看法和态度.
- 评估学生在未来职业中对AI/ML的认识,理解和期望.
主要方法:
- 一项定性研究涉及6名学生药剂师组成的Zoom焦点小组.
- 一个半结构面试指南的主题分析,探讨AI/ML的好处,挑战和道德.
- 用NVivo和ChatGPT进行数据分析,研究小组解决了差异.
主要成果:
- 学生药剂师通常对AI/ML在药房实践中持积极态度.
- 参与者发现了诸如提高准确性和效率等好处,以及诸如警觉疲劳和潜在的护理非个性化等挑战.
- 学生们表达了强烈的兴趣,希望更多地了解AI/ML,并将这些技术整合到药房教育中.
结论:
- 在药房实践中对AI/ML集成的需求越来越大.
- 对学生和实践药剂师进行增强的AI/ML培训是必要的.
- 药剂师,机构和AI/ML开发人员之间的合作对于克服实施障碍至关重要.
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