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相关概念视频

Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

2.5K
A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains...
2.5K
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.2K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
1.2K
Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

2.1K
Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
2.1K
Classification of Illness01:17

Classification of Illness

7.3K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
7.3K
Nursing Clinical Information System01:27

Nursing Clinical Information System

747
Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
747
Data Reporting and Recording01:24

Data Reporting and Recording

4.6K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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相关实验视频

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Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
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应用临床部门特定的人工智能辅助编码使用台湾诊断相关群体:回顾性验证研究

An-Tai Lu1,2, Chong-Sin Liou3, Chia-Hsin Lai3

  • 1Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, No.100, Shih-Chuan 1st Road, Sanmin Dist, Kaohsiung, 807, Taiwan, 886 73121101 ext 2648.

JMIR human factors
|February 12, 2025
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概括

一个人工智能 (AI) 辅助的编码系统提高了医疗编码的准确性和效率. 这种人工智能工具在传染病和呼吸系统疾病类别中显示出很高的一致性,减少了编码员的工作量,提高了临床文档专业知识.

关键词:
人工智能编码的编码编码专业人士的编码专业人员与诊断相关的小组诊断相关的小组

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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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相关实验视频

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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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科学领域:

  • 医疗信息学 医疗信息学
  • 医疗编码自动化 医疗编码自动化
  • 医疗保健中的人工智能

背景情况:

  • 准确的ICD-10-CM (国际疾病分类,第十次修订,临床修改) 程序编码对于正确的台湾诊断相关组 (DRG) 是至关重要的.
  • 编码错误可能会导致医疗机构的重大财务损失.
  • 医疗编码的准确性直接影响医院的报销和运营效率.

研究的目的:

  • 与手动编码过程相比,评估人工智能 (AI) 辅助编码模块的一致性.
  • 确定AI辅助编码模块可以有效实施的特定临床专业.
  • 评估人工智能协助对人类编码者的效率和作用的影响.

主要方法:

  • 一个层次化的注意网络被用来构建人工智能辅助编码模块.
  • 从2月到2023年4月的2632个排放记录的回顾性审查,不包括台湾DRG以外的情况或不完整数据.
  • 人工智能生成的台湾DRG的验证重点是主要诊断类别 (MDCs);统计分析使用SPSS版本19,包括kappa统计和Wilcoxon签名等级测试.

主要成果:

  • 人工智能辅助编码模块在传染病和寄生病MDC和呼吸道疾病MDC.中显示出高一致性 (kappa值>0.8).
  • 统计分析显示,在23个临床部门 (包括心脏病学,病学和泌尿病学) 的编码结果中没有显著差异.
  • 人工智能系统减少了人类编码者的工作时间,支持他们过渡到临床文档专家.

结论:

  • ICD-10-CM人工智能辅助编码系统提高了人类编码者的效率,减少了他们的工作量.
  • 医疗保健专业人员可以利用人工智能工具成为临床文档专家,促进职业发展.
  • 未来的研究将专注于使用类似的方法验证ICD-10人工智能辅助编码模块.