区域卫生数据用于临床疗效分析的可用性研究

叶琪; 赵亮; 阮彤; 冯东雷; 高炬; 刘珉

doi:10.11959/j.issn.2096-0271.2018026

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区域卫生数据用于临床疗效分析的可用性研究

专题：生物医疗大数据 | 更新时间：2024-06-03

- 区域卫生数据用于临床疗效分析的可用性研究
- Usability research of regional health data for clinical efficacy analysis
- 大数据 2018年4卷第3期页码：2018026
- 作者机构：
  
  1. 华东理工大学，上海 200237
  2. 万达信息股份有限公司，上海 200040
  3. 上海中医药大学附属曙光医院，上海 201203
- 作者简介：
  
  [ "叶琪（1976－），女，博士，华东理工大学讲师，主要研究方向为大数据、数据质量等。" ]
  [ "赵亮（1993－），男，华东理工大学硕士生，主要研究方向为大数据、数据质量等。" ]
  [ "阮彤（1973－），女，博士，华东理工大学计算机技术研究所教授、所长，主要研究方向为数据质量评估、文本抽取、知识图谱等。" ]
  [ "冯东雷（1972－），男,博士，万达信息股份有限公司教授级高级工程师，主要研究方向为健康医疗大数据+人工智能、健康医疗+互联网、卫生信息标准化等。" ]
  [ "高炬（1966－），男，上海中医药大学附属曙光医院副院长、主任医师，主要研究方向为医院行政管理、中西医结合肝胆病研究。" ]
  [ "刘珉（1964－），男，上海中医药大学附属曙光医院信息科主任，主要研究方向为医疗信息管理。" ]
- 基金信息：
  
  上海市科学技术委员会“科技创新行动计划”高新技术领域基金资助项目;“Action Plan for Innovation on Science and Technology” Projects of Shanghai(16511101000);上海市卫生和计划生育委员会中医药创新基金资助项目;Traditional Medicine Innovation Project of National Health and Family Planning Commission of Shanghai(ZYKC201601013)
- DOI：10.11959/j.issn.2096-0271.2018026
  中图分类号： TP391
- 网络首发：2018-05，
  
  纸质出版：2018-05-15
- 稿件说明：
移动端阅览
叶琪, 赵亮, 阮彤, 等. 区域卫生数据用于临床疗效分析的可用性研究[J]. 大数据, 2018,4(3):2018026.

Qi YE, Liang ZHAO, Tong RUAN, et al. Usability research of regional health data for clinical efficacy analysis[J]. Big Data Research, 2018, 4(3): 2018026.
叶琪, 赵亮, 阮彤, 等. 区域卫生数据用于临床疗效分析的可用性研究[J]. 大数据, 2018,4(3):2018026. DOI： 10.11959/j.issn.2096-0271.2018026.

Qi YE, Liang ZHAO, Tong RUAN, et al. Usability research of regional health data for clinical efficacy analysis[J]. Big Data Research, 2018, 4(3): 2018026. DOI： 10.11959/j.issn.2096-0271.2018026.

摘要

区域卫生数据来源于不同的医院，经历多轮采集、转换、整合过程，数据可能存在各种质量问题。提出了一套“数据可用性”的评估流程，从临床科研需求出发，设计评估需求模板，采集评估需求，进而获得评估度量。通过面向心力衰竭疗效分析的需求实例，获得了与数据的完整性和一致性相关的10个度量指标，并对某省级区域平台的数据进行了可用性评估。结果发现，与临床科研相关的数据的完整性和一致性都仍有待提高。

Abstract

The regional electronic health records data are initially collected from several different hospitals and then undergo several rounds of data collection

transformation and integration

so there may exist a variety of quality problems.A new evaluation process for data usability was presented.The evaluation metrics were obtained by firstly gathering research requirements of clinicians

and then designing of requirement templates in the process.An example of obtaining evaluation metrics based on the requirement analysis with heart failure was also given.By using the process

ten metrics related to the data completeness and consistency were obtained and then the data of the provincial regional platform were evaluated for the usability.Finally

that the completeness and the consistency of data related to clinical research needs to be improved was shown.

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Keywords

references

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