人工智能驱动档案数据智治探索——基于智慧医疗档案管理"提智增效"的考察
田丽杰1
作者信息
摘要
在数字化、网络化日益普及的今天,档案数据已不再是孤立、静态的信息孤岛,而是需要与其他数据资源进行整合、关联和共享的重要资产.本研究将关注人工智能技术在实现医疗档案数据与其他数据资源的互联互通、共建共享方面的作用和价值,探索构建基于人工智能的档案数据智治新模式.对人工智能在档案数据管理和应用中可能带来的挑战和风险进行深入剖析,并提出相应的应对策略和解决方案.
Abstract
Today,with the increasing popularity of digitization and networking,archival data is no longer an isolated and static information island,but an important asset that needs to be integrated,associated and shared with other data resources.Therefore,this study will focus on the role and value of AI technology in realizing the interconnection and sharing of medical archive data with other data resources,and explore the construction of a new model of archive data wise governance based on AI.The challenges and risks that may be brought about by AI in the management and application of archive data are analyzed in depth,and corresponding coping strategies and solutions are proposed.
关键词
人工智能/档案数据/智慧医疗/档案管理/自然语言处理/电子病历/智能推荐/个性化Key words
Artificial intelligence/Archival data/Smart healthcare/Archive management/Natural language processing/Electronic medical records/Intelligent recommendation/Individuation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据