人工智能决策支持系统在资源有限的环境中,以拯救生命和减少道德伤害
Lindsey Umlauf1, Michael Remley1, Christopher Colombo2
1U.S. Army Medical Center of Excellence, Fort Sam Houston, TX 78234, USA.
Military medicine
|January 21, 2025
概括
未来的冲突和灾难将给医疗团队带来压力,冒着道德伤害的风险. 人工智能决策支持系统 (AIDeSS) 可以通过增强专业知识和减少高风险情况下提供者的困境来减轻这一问题.
科学领域:
- 医学伦理 医学伦理
- 灾难医学 灾难医学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 未来的大规模作战行动和大规模伤亡事件 (MCI) 将创造资源有限的环境,挑战医疗响应人员.
- 高伤亡量和医疗疏散中断加剧了医疗保健提供者疲劳,倦怠和道德伤害的风险.
- 道德伤害是一种持久性状况,具有广泛的负面影响,与倦怠不同,并且观察到与COVID-19大流行期间的供应商脱离相关.
研究的目的:
- 探索人工智能决策支持系统 (AIDeSS) 的潜力,以减轻医疗保健提供者的道德伤害.
- 倡导在高压力,资源有限的护理和艾滋病的交叉点进行研究.
- 确定减少医疗应急人员心理痛苦和提高患者存活率的策略.
主要方法:
- 这项研究是一篇基于概念和倡导的研究论文.
- 它审查了有关医疗提供者的压力,道德伤害和技术在医疗保健中的作用的现有文献.
- 它建议AIDeSS作为一个潜在的解决方案,用于专业知识的差距和决策支持在重症监护场景.
主要成果:
- 远程医疗和远程辅导在减少提供者压力和提高信心方面表现有希望.
- AIDeSS被定位为潜在的下一代临床决策支持工具.
- 这项研究强调,迫切需要对艾滋病预防道德伤害的有效性进行研究.
结论:
- AIDeSS可能提供一种可扩展的解决方案,以支持高压力,资源有限的环境中的医疗响应人员.
- 进一步的研究对于了解AIDeSS如何减少道德伤害并改善大规模伤亡和战斗环境的结果至关重要.
- 实施AIDeSS可以提高患者的生存率和医疗保健系统面临前所未有的挑战的弹性.
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