一个可操作的专家系统算法来支持护士领导的癌症幸存者护理:算法开发研究
Kaylen J Pfisterer1,2, Raima Lohani1, Elizabeth Janes1
1Centre for Digital Therapeutics, University Health Network, Techna Institute, Toronto, ON, Canada.
JMIR cancer
|October 4, 2023
概括
一个名为No Evidence of Disease (Ned) 的新算法支持护士领导的前列腺癌患者的生存护理. 它通过自动化检查站和授权患者自我管理来增强决策和护理连续性.
科学领域:
- 在瘤学瘤学.
- 护理 护理 护理
- 医疗保健服务研究 医疗服务研究
背景情况:
- 改善的幸存者护理模式对于管理癌症幸存者的长期身体和心理社会需求至关重要.
- 前列腺癌 (PCa) 幸存者面临着独特的挑战,需要专门的护理协调.
研究的目的:
- 介绍专家知情的,基于规则的无疾病证据 (Ned) 算法,用于护士领导的PCa幸存者护理模型.
- 提高前列腺癌男性的决策,安全和护理连续性.
主要方法:
- 开发了一套最初的规则,由加拿大的临床专家和患者合作伙伴完善.
- 通过多学科的共识会议来定义算法优先级.
- 使用名义组技术验证和完善系统.
主要成果:
- 根据调查反应和临床因素,建立了四个预警分类级别.
- 通过量身定制的教育和患者发起的咨询途径,整合了患者的自主权.
- 警报升级是由警报值,病史和临床紧迫性调解的.
结论:
- 尼德算法可以促进高比例的护士领导的PCa幸存者护理模型.
- 它为紧急症状提供了明确的升级途径,同时尊重患者的偏好.
- 预期的好处包括改善决策,护理连续性和患者自我管理.
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