先进实践护士领导的研究:使用大数据对数字健康计划评估的挑战和方法
Colleen J Klein1, Melinda Cooling, Matthew Dalstrom
1Author Affiliations: Education and Research Scientist (Dr Klein), OSF HealthCare, Peoria; Adjunct Professor Nursing (Dr Klein), Saint Anthony College of Nursing, Rockford; Chief Clinician Executive (Dr Cooling), OSF OnCall and Senior Vice President Advanced Practice (Dr Cooling), OSF HealthCare; Vice President Innovation/Analytics (Foulger), OSF HealthCare; Professor, Graduate Program (Dr Dalstrom), Saint Anthony College of Nursing, Rockford; Senior Fellow, Innovation, Clinical Intelligence and Advanced Data Lab (Dr Handler), OSF HealthCare; Adjunct Associate Professor (Dr Handler), Northwestern University Feinberg School of Medicine, Chicago; and Professor, Department of Emergency Medicine (Dr Bond), University of Illinois College of Medicine at Peoria (UICOMP), and affiliated with Jump Simulation, an OSF HealthCare and UICOMP Collaboration, Peoria, Illinois.
护士领导者对于实施和评估数字健康服务至关重要. 本文讨论了在护理研究中管理大型医疗补助数据集的挑战和策略.
科学领域:
- 医疗信息学 医疗信息学
- 护理领导力 护理领导力
- 数字健康数字健康
背景情况:
- 高级实践护士对于数字健康实施至关重要.
- 虚拟监控越来越多地融入护理实践.
- 护士需要为数字健康领域的专业间合作做好准备.
研究的目的:
- 探索数字卫生服务实施中的挑战.
- 讨论大型医疗补助数据集的数据策划和分析策略.
- 为指导护士领导者评估数字健康倡议.
主要方法:
- 审查数字健康的实施战略.
- 对医疗补助研究的数据管理考虑的讨论.
- 分析专业间团队协作的挑战,以进行虚拟监控.
主要成果:
- 护士领导者在数字健康资源分配中的作用.
- 护士为虚拟监测管理做好准备的重要性.
- 识别医疗补助研究中的数据策划和分析挑战.
结论:
- 护士领导者必须促进数字健康的整合.
- 在虚拟监测中,教育和培训对护士至关重要.
- 医疗补助人口研究需要有效的数据策略.
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