Evidence map›Paper›PMID 29691212›Full record

ArticleJournal of medical Internet research2018

Utilization of a Clinical Trial Management System for the Whole Clinical Trial Process as an Integrated Database: System Development.

Yu Rang Park, Young Jo Yoon, HaYeong Koo, Soyoung Yoo, Chang-Min Choi, Sung-Ho Beck, Tae Won Kim

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review of Clinical Research Informatics.Yearbook of medical informatics · 2020
    Review
  11. Utilization of Technology to Improve Efficiency in Investigational Drug Management Processes.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. A dimensional warehouse for integrating operational data from clinical trials.Database : the journal of biological databases and curation · 2019
    Article
  16. 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.

Yu Rang ParkClinical Research Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Republic Of Korea.ORCID 0000-0002-4210-2094
Young Jo YoonOffice of Clinical Research Information, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Republic Of Korea.ORCID 0000-0003-2978-0699
HaYeong KooClinical Research Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Republic Of Korea.ORCID 0000-0001-9480-9350
Soyoung YooHealth Innovation Bigdata Center, Seoul, Republic Of Korea.ORCID 0000-0002-2953-508X
Chang-Min ChoiClinical Research Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Republic Of Korea.ORCID 0000-0002-2881-4669
Sung-Ho BeckClinical Research Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Republic Of Korea.ORCID 0000-0003-4540-3041
Tae Won KimClinical Research Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Republic Of Korea.ORCID 0000-0001-9522-1997

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical trials pose potential risks in both communications and management due to the various stakeholders involved when performing clinical trials. The academic medical center has a responsibility and obligation to conduct and manage clinical trials while maintaining a sufficiently high level of quality, therefore it is necessary to build an information technology system to support standardized clinical trial processes and comply with relevant regulations.

objectiveThe objective of the study was to address the challenges identified while performing clinical trials at an academic medical center, Asan Medical Center (AMC) in Korea, by developing and utilizing a clinical trial management system (CTMS) that complies with standardized processes from multiple departments or units, controlled vocabularies, security, and privacy regulations.

methodsThis study describes the methods, considerations, and recommendations for the development and utilization of the CTMS as a consolidated research database in an academic medical center. A task force was formed to define and standardize the clinical trial performance process at the site level. On the basis of the agreed standardized process, the CTMS was designed and developed as an all-in-one system complying with privacy and security regulations.

resultsIn this study, the processes and standard mapped vocabularies of a clinical trial were established at the academic medical center. On the basis of these processes and vocabularies, a CTMS was built which interfaces with the existing trial systems such as the electronic institutional review board health information system, enterprise resource planning, and the barcode system. To protect patient data, the CTMS implements data governance and access rules, and excludes 21 personal health identifiers according to the Health Insurance Portability and Accountability Act (HIPAA) privacy rule and Korean privacy laws. Since December 2014, the CTMS has been successfully implemented and used by 881 internal and external users for managing 11,645 studies and 146,943 subjects.

conclusionsThe CTMS was introduced in the Asan Medical Center to manage the large amounts of data involved with clinical trial operations. Inter- and intraunit control of data and resources can be easily conducted through the CTMS system. To our knowledge, this is the first CTMS developed in-house at an academic medical center side which can enhance the efficiency of clinical trial management in compliance with privacy and security laws.

Indexed as

Clinical Trials as TopicDatabases, FactualHumansInformation Systemsacademic medical centerclinical trialinformation systemsinformation technologyprivacy

Identifiers

PMID29691212
PMCPMC5941091

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.