盲目进入电子医疗世界?卫生专业人员教育的不足阻碍了专业化进程。2018年HoGe会议“数字化学习与教学”/ die eHealth-Welt中的盲流感?培养机器:professionalisierungsbem hungen der Gesundhe

B. Sottas
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引用次数: 0

摘要

教育策略往往来源于杰出创始人的思想。它们传达了良好实践和职业身份的传统观念。然而,环境发生了巨大的变化。多种疾病、员工短缺、对结果证明的要求、千禧一代的期望以及数字化等大趋势产生了缓慢但稳定的影响。然而,教育是否能充分应对这些挑战的问题却被回避了。战略文件表明,调整了安排和手段,但没有调整内容。赤字主要是在面对数字化转型时显现出来的,数字化转型伴随着工业管理模式的实施。在欧洲,员工短缺和不断增长的需求也为数字助理和机器人的引入提供了便利。进入卫生专业的人必须有机器人作为同事。因此,人们不应该期望将看护作为建立人际关系的唯一方式的传统观念会持续下去。此外,专业人员可能会经历从基于证据的实践到基于算法的实践的有害转变。关于数字化转型的讨论明显是一边倒的。效率、成本控制和安全是主要的争论点,有些还承诺为病人提供更多的时间。除了被取代的方面,它没有问个人和专业人员会发生什么。例如,人们可能会问,人工智能是如何塑造人类互动和专业实践、参与、自决、患者导向、治疗策略和依从性的。教育不应该提高使用平板电脑和工具的技能,而应该问的是,专业人士如何才能充分准备好与机器合作,因为机器可能会做出决定和执行流程,而且可能被雇主认为是更可靠的同事。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blind Flight into the eHealth World? Deficits in the education of health professionals hamper process of professionalization. Contribution to the HoGe conference 2018 „Digital learning and teaching“ / Blindflug in die eHealth-Welt? Bildungsdefizite machen Professionalisierungsbemühungen der Gesundhe
Abstract Educational strategies often derive from ideas of eminent founders. They convey traditional conceptions of good practice and professional identity. However, the environment changes dramatically. Megatrends such as multimorbidity, staff shortage, claims for outcome proofs, expectations of the Millennials, and also digitalization produce slow but steady efects. Yet, the question if education adequately tackles the challenges is avoided. Strategy papers show that arrangements and instruments have been adapted, but not contents. Deficits are visible primarily in facing the digital transformation which goes along with the implementation of industrial management models. Staf shortage and rising demands ease the introduction of digital assistants and robots also in Europe. Those entering a health profession shall have androids as colleagues. One should, therefore, not expect that conventional concepts about caregiving as exclusive human relation building will persist. In addition, professional may experience a hurtful transition from evidence-based to algorithm-based practice. Discussions about digital transformation are strikingly lopsided. Efficiency, cost containment and safety are prominent arguments, some also promise more time for patients. Besides the aspect of being replaced, it is not asked what happens to the individuals and professionals. One could e. g. ask in which way artificial intelligence shapes human interaction and professional practice, participation, self-determination, patient orientation, therapeutic strategies and adherence. Instead of improving skills for tablets and tools, education should ask how professions and professionals can adequately be prepared to co-work with machines which may take decisions and conduct processes, and which may be considered more reliable colleagues by employers.
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