捕捉人工智能应用在医疗保健中的价值主张 - - 一项定性研究研究.
Jasmin Hennrich1, Eva Ritz2, Peter Hofmann3,4
1FIM Research Institute for Information Management, University of Bayreuth, Branch Business and Information Systems Engineering of the Fraunhofer FIT, Wittelsbacherring 10, 95444, Bayreuth, Germany. jasmin.hennrich@fit.fraunhofer.de.
医疗保健中的人工智能 (AI) 提供了显著的价值,但采用速度很慢. 本研究确定了六个关键的价值主张,以帮助医疗机构战略性地实施人工智能,以提高患者护理和运营效率.
科学领域:
- 医疗信息学 医疗信息学
- 管理科学 管理科学
- 人工智能的人工智能
背景情况:
- 医疗机构在实现人工智能 (AI) 应用程序的全部价值方面面临着挑战.
- 对人工智能的潜在好处的清晰管理理解往往缺乏,阻碍了采用.
- 战略实施需要一个框架来评估AI在医疗保健中的价值主张.
研究的目的:
- 识别和系统化AI在医疗保健中的应用的业务目标和价值主张.
- 为评估人工智能投资和战略调整提供管理框架.
- 引导医疗保健组织克服人工智能采用障碍.
主要方法:
- 进行了系统的文献审查.
- 进行了11次半结构化的专家采访.
- 分析数据以确定业务目标和价值主张.
主要成果:
- 确定了15个业务目标,汇聚在6个核心价值主张中.
- 这些价值主张包括降低风险的患者护理,先进的患者护理,自我管理,流程加速,资源优化和知识发现.
- 人工智能应用为医疗保健提供了多样化的战略利益.
结论:
- 人工智能应用为医疗保健中的价值创造提供了重大机会.
- 医疗机构可以利用这些发现,为人工智能投资决策和战略提供信息.
- 对人工智能价值评估的结构化方法对于成功采用和战略调整至关重要.
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