大数据带来了巨大的责任:利用聚合,标准化,非标识化的电子健康记录数据进行研究的策略
Veronica R Olaker1, Sarah Fry1, Pauline Terebuh1
1Center for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Clinical and translational science
|December 31, 2024
概括
电子健康记录 (EHR) 提供了有价值的研究数据,但存在诸如偏见和隐私问题等风险. 本指南详细介绍了减轻陷的策略,并最大限度地从观察性研究的非识别的EHR数据中获得洞察力.
科学领域:
- 医疗信息学 医疗信息学
- 生物统计学 生物统计学
- 流行病学 流行病学
背景情况:
- 电子健康记录 (EHR) 包含广泛的患者数据,对临床应用之外的研究有价值.
- 然而,EHR数据存在一些挑战,包括偏见,隐私,数据准确性和解释复杂性.
研究的目的:
- 总结了用于减轻使用EHR数据进行研究时常见陷的方法.
- 引导研究人员从聚合,标准化和非识别的电子健康记录数据中提取最大的信息.
主要方法:
- 这篇文章回顾了26个主题,涵盖了使用EHR数据进行观测研究的设计,分析和报告.
- 它侧重于避免常见危险的策略,并确保保守的解释.
主要成果:
- 该审查涵盖了14个设计主题,7个分析主题和5个与EHR研究相关的报告主题.
- 关键领域包括管理偏见,定义变量,确保数据准确性和整合外部数据源.
结论:
- 精心规划和谨慎的解释对于使用电子健康记录数据进行可靠的研究至关重要.
- 实施推策略可以帮助克服挑战,并充分利用电子健康记录的科学发现潜力.
更多相关视频
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
14.3K
08:01Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
Published on: November 30, 2022
4.0K
相关概念视频
Methods of Documentation VII: EMR
768
Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
768
Ethical Standards I
743
The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
743
Archival Research
15.9K
Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
15.9K
Ethics in Research
22.8K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
22.8K
Ethical Standards II
617
Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
Nurses are entrusted with upholding various ethical principles and standards. Nurses forge solid therapeutic relationships using trust, empathy, autonomy, confidentiality, and professional competence.
Confidentiality is crucial, embodying respect for individual privacy...
Nurses are entrusted with upholding various ethical principles and standards. Nurses forge solid therapeutic relationships using trust, empathy, autonomy, confidentiality, and professional competence.
Confidentiality is crucial, embodying respect for individual privacy...
617
Statistical Methods for Analyzing Epidemiological Data
228
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
228
