现代护理协调和患者护理途径中的数字信息生态系统以及人工智能解决方案的挑战和机遇
You Chen1,2, Christoph U Lehmann3,4, Bradley Malin1,2,5
1Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States.
Journal of medical Internet research
|December 2, 2024
概括
数字健康技术改善了护理协调,但也面临着挑战. 人工智能 (AI) 提供解决方案来增强信息流,优化患者途径,改善整体医疗保健质量和结果.
科学领域:
- 医疗信息学 医疗信息学
- 数字健康数字健康
- 医疗保健中的人工智能
背景情况:
- 数字技术已经改变了医疗保健,提高了护理协调效率.
- 现代的护理协调依赖于复杂的数字信息生态系统.
- 在信息生成,更新,传输和交换方面存在挑战.
研究的目的:
- 在护理协调中探索数字信息生态系统.
- 识别阻碍高效护理协调的挑战.
- 检查人工智能 (AI) 克服这些挑战的潜力.
主要方法:
- 透视性论文分析了患者护理途径中的数字信息流.
- 审查医疗数据管理和协调当前的挑战.
- 探索人工智能应用程序,以增强健康信息系统.
主要成果:
- 关键的挑战包括互操作性问题,信息孤岛和工作量增加.
- 人工智能可以显著提高互操作性,并优化患者护理途径.
- 人工智能增强了信息检索,护理转换和患者报告的结果.
结论:
- 人工智能集成可以创建一个更强大的数字健康生态系统.
- 战略性使用人工智能有望改善护理协调和患者的治疗结果.
- 对人工智能的持续研究和投资对于彻底改变医疗保健至关重要.
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