与电子健康记录和实验室信息系统合作,最大限度地订购和报告分子微生物学结果
Meghan W Starolis1, Mark A Zaydman2, Rachael M Liesman3
1Molecular Infectious Disease, Quest Diagnostics, 14225 Newbrook Drive, Chantilly, VA 20151, USA.
Clinics in laboratory medicine
|January 27, 2024
概括
分子微生物学测试是昂贵的,需要谨慎使用. 电子健康记录工具可以改善诊断管理,而人工智能和机器学习需要进一步研究和监管.
科学领域:
- 临床微生物学 临床微生物学
- 医疗信息学 医疗信息学
- 诊断管理的管理工作.
背景情况:
- 分子微生物学分析提供了先进的诊断,但成本比传统方法更高.
- 对分子测定结果的适当利用和解释对于有效的患者护理至关重要.
- 电子工具的整合为优化诊断测试过程提供了机会.
研究的目的:
- 探索电子工具在改善利用分子微生物学试验中的作用.
- 评估人工智能和机器学习等先进技术在诊断管理中的潜力.
- 强调在应用新医疗保健技术方面需要监管.
主要方法:
- 对分子测定利用当前实践的审查.
- 分析电子健康记录和实验室信息系统的功能.
- 讨论新兴技术,如机器学习和人工智能在诊断.
主要成果:
- 电子工具可以在分析前和分析后实现,以指导订单行为.
- 优化电子系统的使用可以对诊断管理产生积极影响.
- 下一代技术是有前途的,但需要进一步的研究和监管监督.
结论:
- 电子工具的战略部署对于适当的分子分析利用至关重要.
- 机器学习和人工智能对提高诊断管理有很大的潜力.
- 新技术的开发和监管对于在医疗保健中安全有效地实施是必要的.
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