在打击药物成的斗争中探索健康信息学:为日益关注的问题提供数字解决方案
Shakila Jahan Shimu1, Srushti Moreshwar Patil2, Ebenezer Dadzie3
1Department of Health Informatics, Harrisburg University of Science and Technology, Harrisburg, PA 17101, USA.
Journal of personalized medicine
|June 27, 2024
概括
医疗信息学和人工智能为全球毒危机提供了新的解决方案. 这些技术可以跟踪患者数据,识别风险,并个性化护理,以有效打击物质使用障碍.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 公共卫生 公共卫生
背景情况:
- 药物成和物质使用障碍是全球重要的健康问题,特别是在美国,有大量未经治疗的病例和过量死亡.
- 目前用于控制药物成的策略已被证明是不够的,需要创新的方法.
- 在美国,每年有超过7万例过量服用死亡,这凸显了危机的紧迫性.
研究的目的:
- 探索医疗信息平台和人工智能的潜力,以应对药物成危机.
- 研究这些技术如何改善患者数据跟踪,风险因素识别和物质使用障碍的个性化治疗.
- 加强现有计划的有效性,如处方药监测计划 (PDMP) 和药物和酒精服务信息系统 (DASIS).
主要方法:
- 利用健康信息平台,如电子健康记录,远程医疗和临床决策支持系统.
- 利用人工智能分析大规模的患者数据来分类成类型.
- 将人工智能与健康信息学集成,以识别和减轻成风险因素,并监控成药物的处方.
主要成果:
- 医疗信息平台可以单独跟踪患者数据,提供私人和精确的医疗支持.
- 这些技术可以识别吸毒成的风险因素,并帮助制定缓解策略.
- 人工智能与健康信息学相结合,可以通过分析患者数据和分类成类型来实现个性化护理.
结论:
- 医疗信息学和人工智能提供了有前途的工具,通过实现数据驱动的洞察力和个性化干预来打击毒危机.
- 需要进行进一步的深入研究,才能充分发挥这些技术在缓解物质使用障碍方面的潜力.
- 将人工智能整合到健康信息学中可以显著提高药物成的管理和治疗.
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