Evidence map›Paper›PMID 34342589›Full record

ArticleJMIR medical informatics2021

Using Electronic Medical Record Data for Research in a Healthcare Information and Management Systems Society (HIMSS) Analytics Electronic Medical Record Adoption Model (EMRAM) Stage 7 Hospital in Beijing: Cross-sectional Study.

Rui Li, Yue Niu, Sarah Robbins Scott, Chu Zhou, Lan Lan, Zhigang Liang, Jia Li

Open access · goldAbstract read
In one paragraph

Article in JMIR medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Rui Li *Information Center, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-0555-1472
Yue Niu *Statistical Procedure Department, Blueballon (Beijing) Medical Research Co, Ltd, Beijing, China.ORCID https://orcid.org/0000-0002-1693-4209
Sarah Robbins ScottNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID https://orcid.org/0000-0002-0455-644X
Chu ZhouNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID https://orcid.org/0000-0002-9423-1250
Lan LanWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Beijing, China.ORCID https://orcid.org/0000-0003-2161-4936
Zhigang LiangInformation Center, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0003-0232-0668
Jia LiInformation Center, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-6868-6593
Capital Medical University · CNWest China Medical Center of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the proliferation of electronic medical record (EMR) systems, there is an increasing interest in utilizing EMR data for medical research; yet, there is no quantitative research on EMR data utilization for medical research purposes in China.

objectiveThis study aimed to understand how and to what extent EMR data are utilized for medical research purposes in a Healthcare Information and Management Systems Society (HIMSS) Analytics Electronic Medical Record Adoption Model (EMRAM) Stage 7 hospital in Beijing, China. Obstacles and issues in the utilization of EMR data were also explored to provide a foundation for the improved utilization of such data.

methodsFor this descriptive cross-sectional study, cluster sampling from Xuanwu Hospital, one of two Stage 7 hospitals in Beijing, was conducted from 2016 to 2019. The utilization of EMR data was described as the number of requests, the proportion of requesters, and the frequency of requests per capita. Comparisons by year, professional title, and age were conducted by double-sided chi-square tests.

resultsFrom 2016 to 2019, EMR data utilization was poor, as the proportion of requesters was 5.8% and the frequency was 0.1 times per person per year. The frequency per capita gradually slowed and older senior-level staff more frequently used EMR data compared with younger staff.

conclusionsThe value of using EMR data for research purposes is not well studied in China. More research is needed to quantify to what extent EMR data are utilized across all hospitals in Beijing and how these systems can enhance future studies. The results of this study also suggest that young doctors may be less exposed or have less reason to access such research methods.

Indexed as

Chinadata utilizationelectronic medical recordsmedical research

Identifiers

PMID34342589
PMCPMC8371484
OpenAlexW3169446760

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.