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相关概念视频

Planning Nursing Care I01:21

Planning Nursing Care I

4.2K
The planning phase of the nursing process helps nurses set priorities, outline patient-centered goals and expected outcomes, and tailor nursing interventions to align with the aligned care plan. Through the planning phase, the nurse applies critical thinking skills to align and develop interventions according to the patient's needs. It provides continuity of care allowing patients to receive the maximum benefit from treatment. It serves as a pilot plan for allocating individual staff to a...
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Discharge Summary Forms01:31

Discharge Summary Forms

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The discharge summary is crucial as it enables a smooth transition from a healthcare facility to a patient's home or another care setting. This critical document facilitates seamless continuity of care, ensuring patients receive the necessary support and attention.
Here's a detailed look at the key components and guidelines for preparing a discharge summary:
690
Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

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Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
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Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
542
Restorative Care01:19

Restorative Care

1.9K
Restorative care is provided once a patient has been discharged from a healthcare facility and requires additional services. The additional services include home care, rehabilitation programs, and extended care. Restorative care centers help the patient regain their previous level of functioning or acquire a new level of functioning due to the incapacitating effects of a disease or a disability. It aims to assist patients in enhancing their quality of life by encouraging independence,...
1.9K
Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis01:24

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

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The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
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Updated: May 12, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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在入院时预测后续护理需求,以减少出院延迟,使用可解释的机器学习.

Chris Duckworth1, Dan Burns2, Carlos Lamas Fernandez3

  • 1IT Innovation Centre, Digital Health and Biomedical Engineering, University of Southampton, Southampton, UK. C.J.Duckworth@soton.ac.uk.

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一种可解释的机器学习 (ML) 模型可以早期识别需要社会护理的患者,防止医院出院延误. 将ML与临床医生的输入相结合,进一步提高了对社会护理需求的预测准确性.

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科学领域:

  • 医疗信息学 医疗信息学
  • 医疗保健中的人工智能
  • 社会护理研究 社会护理研究

背景情况:

  • 及时识别需要社会护理的患者对于有效的医院出院至关重要.
  • 推迟社会护理转诊可能会导致长时间住院.

研究的目的:

  • 引入和评估一种可解释的机器学习 (ML) 模型,用于在入院时早期识别社会护理需求.
  • 将ML模型的性能与临床医生的预测进行比较,并探索混合模型的潜力.

主要方法:

  • 使用例行收集的医院数据 (2017-2023) 开发和培训一个可解释的ML模型.
  • 使用接收器运行特征曲线 (AUROC) 下面面积的模型性能评估.
  • 将ML预测与临床医生对各种护理需求的评估进行比较.

主要成果:

  • 该ML模型实现了高性能 (AUROC = 0.915),与临床医生的预测相当.
  • ML和临床医生在识别不同类型的护理需求方面表现出互补的优势.
  • 结合ML和临床医生预测的混合模型产生了更高的准确性 (AUROC = 0.936).

结论:

  • 可解释的ML为早期发现社会护理需求提供了有价值的工具,支持临床决策.
  • 结合机器学习和临床医生的混合人机循环系统可以优化对未来社会护理需求的早期预测.