用户理解和EHR 整合 真实风险 决策 助力乳腺癌风险评估:一种定性研究
Subiksha Umakanth1, Anna Vaynrub2, Harry West3
1Department of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY.
概括
"真实风险"决策辅助工具改善了患者对乳腺癌风险的理解. 然而,一些复杂的风险因素和数据隐私问题需要进一步关注,以采取有效的降低风险的行动.
科学领域:
- 医疗信息学 医疗信息学
- 医疗决策支持 医疗决策支持
- 癌症风险评估 癌症风险评估
背景情况:
- 患者对乳腺癌风险的理解对于激励降低风险的行为至关重要.
- 整合患者和电子健康记录 (EHR) 数据的决策辅助工具可以赋予患者权力.
- 快速医疗互操作性资源 (FHIR) 可实现无数据集成.
研究的目的:
- 评估RealRisks决策援助的清晰度和解释性.
- 了解患者对乳腺癌风险因素和行动障碍的理解.
- 评估整合患者生成和EHR数据用于风险评估的可用性.
主要方法:
- 作为可用性研究的一部分,进行了深入采访.
- 使用RealRisks工具评估患者对乳腺癌风险概念的理解.
- 通过FHIR评估了患者生成数据和EHR数据的整合.
主要成果:
- 在使用RealRisks.之后,参与者对乳腺癌风险的理解得到了改善.
- 在理解终身风险,良性乳腺疾病影响和癌症类型 (遗传性,零星性,家族性) 中发现的挑战.
- 电子商务记录下载功能受到好评;隐私和保险问题被提出.
结论:
- RealRisks提高了患者对乳腺癌风险的理解,但需要对复杂概念进行改进.
- 解决患者对数据隐私和保险的担忧对于工具的采用至关重要.
- 进一步的发展应侧重于提高特定风险因素的解释性,以促进行动.
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