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手术结果和以患者为中心的术后计划
Elena Bignami1, Serena Celoria2, Valentina Bellini2
1Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126, Parma, Italy. elenagiovanna.bignami@unipr.it.
周围手术医学正在发展,专注于患者的生活质量. 人工智能为将患者报告的结果和经验测量整合到综合性术后护理中提供了一个有前途的解决方案.
科学领域:
- 在外科手术期间的医学.
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 周围手术医学正在扩大其重点超越外科手术结果,包括患者的整体体验和生活质量.
- 患者报告的数据,包括患者报告的结果指标 (PROM) 和患者报告的体验指标 (PREM),越来越被认为是评估外科护理的有价值工具.
- 将传统的术后数据与PROM和PREM集成在当前医疗保健系统中提出了重大挑战.
研究的目的:
- 探索新技术的潜力,特别是人工智能 (AI),以应对整合多样化的周围手术数据的挑战.
- 通过合成各种数据流,研究人工智能如何通过合成各种数据流来促进在术后护理中更加以患者为中心的方法.
- 突出人工智能的作用在识别和处理人体情绪和情绪在外科术期间的背景下.
主要方法:
- 审查当前的趋势和挑战在外科外科医学.
- 探索人工智能在数据解释和模拟方面的能力.
- 整合患者报告数据与使用人工智能的传统外科手术指标的概念框架.
主要成果:
- 人工智能拥有解释,处理和模拟人类感受,情绪和情绪的能力.
- 人工智能可以提供必要的工具,有效地将传统的术后数据与患者报告的结果和经验措施相结合.
- 这种整合可以导致一个更加整体和以患者为中心的术后护理模式.
结论:
- 将人工智能整合到外科手术期间的医疗中,可以克服当前数据整合的挑战.
- 人工智能能够实现全面的方法,将患者的需求和经验置于术后护理的最前沿.
- 人工智能在术后医学中的应用有望提高整体手术体验和患者的生活质量.
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