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Year Number of Results
1963 1
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2007 1998
2008 2194
2009 2360
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136,732 results

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Page 1
Clinical Research Informatics.
Daniel C, Kalra D; Section Editors for the IMIA Yearbook Section on Clinical Research Informatics. Daniel C, et al. Yearb Med Inform. 2020 Aug;29(1):203-207. doi: 10.1055/s-0040-1702007. Epub 2020 Aug 21. Yearb Med Inform. 2020. PMID: 32823317 Free PMC article. Review.
OBJECTIVES: To summarize key contributions to current research in the field of Clinical Research Informatics (CRI) and to select best papers published in 2019. ...And lastly, security and confidentiality, ethical and regulatory issues, and more generally spea …
OBJECTIVES: To summarize key contributions to current research in the field of Clinical Research Informatics (CRI) and …
Simplifying Multimodal Clinical Research Data Management: Introducing an Integrated and User-friendly Database Concept.
Schweinar A, Wagner F, Klingner C, Festag S, Spreckelsen C, Brodoehl S. Schweinar A, et al. Appl Clin Inform. 2024 Mar;15(2):234-249. doi: 10.1055/a-2259-0008. Epub 2024 Feb 1. Appl Clin Inform. 2024. PMID: 38301729 Free PMC article.
BACKGROUND: Clinical research, particularly in scientific data, grapples with the efficient management of multimodal and longitudinal clinical data. ...Our design incorporates FAIR principles for effective data management. M …
BACKGROUND: Clinical research, particularly in scientific data, grapples with the efficient management of multim …
Analysis of Professional Competencies for the Clinical Research Data Management Profession.
Abouelenein S, Williams T, Baldner J, Zozus MN. Abouelenein S, et al. Stud Health Technol Inform. 2020 Jun 16;270:1199-1200. doi: 10.3233/SHTI200361. Stud Health Technol Inform. 2020. PMID: 32570578
OBJECTIVE: This job analysis was conducted to compare, assess and refine the competencies of the clinical research data management profession. MATERIALS AND METHODS: Two questionnaires were administered in 2015 and 2018 to collect information from d …
OBJECTIVE: This job analysis was conducted to compare, assess and refine the competencies of the clinical research data …
A Clinical Data Management System for Diabetes Clinical Trials.
Nourani A, Ayatollahi H, Solaymani-Dodaran M. Nourani A, et al. J Healthc Eng. 2022 Feb 24;2022:8421529. doi: 10.1155/2022/8421529. eCollection 2022. J Healthc Eng. 2022. PMID: 35251579 Free PMC article.
BACKGROUND: The use of novel medications and methods to prevent, diagnose, treat, and manage diabetes requires confirmation of safety and efficacy in a well-designed study prior to widespread adoption. Diabetes clinical trials are the studies that examine these issues. The …
BACKGROUND: The use of novel medications and methods to prevent, diagnose, treat, and manage diabetes requires confirmation of safety and ef …
Data management strategy for a collaborative research center.
Mittal D, Mease R, Kuner T, Flor H, Kuner R, Andoh J. Mittal D, et al. Gigascience. 2022 Dec 28;12:giad049. doi: 10.1093/gigascience/giad049. Epub 2023 Jul 4. Gigascience. 2022. PMID: 37401720 Free PMC article.
The importance of effective research data management (RDM) strategies to support the generation of Findable, Accessible, Interoperable, and Reusable (FAIR) neuroscience data grows with each advance in data acquisition techniques and research …
The importance of effective research data management (RDM) strategies to support the generation of Findable, Accessible …
International Clinical Research Data Ecosystem: From Data Standardization to Federated Analysis.
Rinaldi E, Dellacasa C, Puskaric M, Osmo T, Gorska A, Stellmach C. Rinaldi E, et al. Stud Health Technol Inform. 2023 Oct 20;309:133-134. doi: 10.3233/SHTI230757. Stud Health Technol Inform. 2023. PMID: 37869823
Within the HORIZON 2020 project ORCHESTRA, patient data from numerous clinical studies in Europe related to COVID-19 were harmonized to create new knowledge on the disease. In this article, we describe the ecosystem that was established for the management of …
Within the HORIZON 2020 project ORCHESTRA, patient data from numerous clinical studies in Europe related to COVID-19 were harm …
Machine Learning and Natural Language Processing in Mental Health: Systematic Review.
Le Glaz A, Haralambous Y, Kim-Dufor DH, Lenca P, Billot R, Ryan TC, Marsh J, DeVylder J, Walter M, Berrouiguet S, Lemey C. Le Glaz A, et al. J Med Internet Res. 2021 May 4;23(5):e15708. doi: 10.2196/15708. J Med Internet Res. 2021. PMID: 33944788 Free PMC article. Review.
CONCLUSIONS: Machine learning and NLP models have been highly topical issues in medicine in recent years and may be considered a new paradigm in medical research. However, these processes tend to confirm clinical hypotheses rather than developing entirely new inform …
CONCLUSIONS: Machine learning and NLP models have been highly topical issues in medicine in recent years and may be considered a new paradig …
Data management in diabetes clinical trials: a qualitative study.
Nourani A, Ayatollahi H, Solaymani Dodaran M. Nourani A, et al. Trials. 2022 Mar 3;23(1):187. doi: 10.1186/s13063-022-06110-5. Trials. 2022. PMID: 35241149 Free PMC article.
The aim of this study was to explore data management processes in diabetes clinical trials in three research institutes in Iran. ...To analyze data, the method of thematic analysis was used. RESULTS: The five themes that emerged from data …
The aim of this study was to explore data management processes in diabetes clinical trials in three research ins …
Clinical Trial Data Management Software: A Review of the Technical Features.
Nourani A, Ayatollahi H, Dodaran MS. Nourani A, et al. Rev Recent Clin Trials. 2019;14(3):160-172. doi: 10.2174/1574887114666190207151500. Rev Recent Clin Trials. 2019. PMID: 30734683 Review.
BACKGROUND: Data management is an important, complex and multidimensional process in clinical trials. ...All of the research papers related to clinical data management systems which were published between 2007 and 2017 (n=19) were …
BACKGROUND: Data management is an important, complex and multidimensional process in clinical trials. ...All of the …
Best practices for multimodal clinical data management and integration: An atopic dermatitis research case.
Ohta T, Hananoe A, Fukushima-Nomura A, Ashizaki K, Sekita A, Seita J, Kawakami E, Sakurada K, Amagai M, Koseki H, Kawasaki H. Ohta T, et al. Allergol Int. 2024 Apr;73(2):255-263. doi: 10.1016/j.alit.2023.11.006. Epub 2023 Dec 14. Allergol Int. 2024. PMID: 38102028 Free article.
However, modern clinical data, characterized as large-scale, multimodal, and multi-center, causes difficulties in data integration and management, which limits productivity in clinical data science. METHODS: We designed a generic data …
However, modern clinical data, characterized as large-scale, multimodal, and multi-center, causes difficulties in data …
136,732 results
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