151 related articles for article (PubMed ID: 25991199)
1. A European inventory of data elements for patient recruitment.
Doods J; Lafitte C; Ulliac-Sagnes N; Proeve J; Botteri F; Walls R; Sykes A; Dugas M; Fritz F
Stud Health Technol Inform; 2015; 210():506-10. PubMed ID: 25991199
[TBL] [Abstract][Full Text] [Related]
2. Requirements for a patient recruitment system.
Schreiweis B; Bergh B
Stud Health Technol Inform; 2015; 210():521-5. PubMed ID: 25991202
[TBL] [Abstract][Full Text] [Related]
3. A European inventory of common electronic health record data elements for clinical trial feasibility.
Doods J; Botteri F; Dugas M; Fritz F;
Trials; 2014 Jan; 15():18. PubMed ID: 24410735
[TBL] [Abstract][Full Text] [Related]
4. Common data elements for secondary use of electronic health record data for clinical trial execution and serious adverse event reporting.
Bruland P; McGilchrist M; Zapletal E; Acosta D; Proeve J; Askin S; Ganslandt T; Doods J; Dugas M
BMC Med Res Methodol; 2016 Nov; 16(1):159. PubMed ID: 27875988
[TBL] [Abstract][Full Text] [Related]
5. Protocol feasibility workflow using an automated multi-country patient cohort system.
Soto-Rey I; Trinczek B; Karakoyun T; Dugas M; Fritz F
Stud Health Technol Inform; 2014; 205():985-9. PubMed ID: 25160335
[TBL] [Abstract][Full Text] [Related]
6. Conformity between protocol eligibility criteria for electronic patient identification: a comparison of clinical trials.
Kamauu A; Agbor S; Kamauu A
Stud Health Technol Inform; 2013; 192():1167. PubMed ID: 23920941
[TBL] [Abstract][Full Text] [Related]
7. Query engine optimization for the EHR4CR protocol feasibility scenario.
Soto-Rey I; Bache R; Dugas M; Fritz F
Stud Health Technol Inform; 2013; 192():1080. PubMed ID: 23920854
[TBL] [Abstract][Full Text] [Related]
8. Recruit--An Ontology Based Information Retrieval System for Clinical Trials Recruitment.
PatrĂ£o DF; Oleynik M; Massicano F; Morassi Sasso A
Stud Health Technol Inform; 2015; 216():534-8. PubMed ID: 26262108
[TBL] [Abstract][Full Text] [Related]
9. Automatic Selection of Clinical Trials Based on A Semantic Web Approach.
Cuggia M; Campillo-Gimenez B; Bouzille G; Besana P; Jouini W; Dufour JC; Zekri O; Gibaud I; Garde C; Duvauferier R
Stud Health Technol Inform; 2015; 216():564-8. PubMed ID: 26262114
[TBL] [Abstract][Full Text] [Related]
10. Analysis of eligibility criteria from ClinicalTrials.gov.
Doods J; Dugas M; Fritz F
Stud Health Technol Inform; 2014; 205():853-7. PubMed ID: 25160308
[TBL] [Abstract][Full Text] [Related]
11. Applicability of different types of Patient Records for Patient Recruitment Systems.
Schreiweis B; Bergh B
Stud Health Technol Inform; 2015; 216():884. PubMed ID: 26262186
[TBL] [Abstract][Full Text] [Related]
12. Extraction and Prevalence of Structured Data Elements in Free-Text Clinical Trial Eligibility Criteria.
Gulden C; Landerer I; Nassirian A; Altun FB; Andrae J
Stud Health Technol Inform; 2019; 258():226-230. PubMed ID: 30942751
[TBL] [Abstract][Full Text] [Related]
13. Cost-benefit assessment of using electronic health records data for clinical research versus current practices: Contribution of the Electronic Health Records for Clinical Research (EHR4CR) European Project.
Beresniak A; Schmidt A; Proeve J; Bolanos E; Patel N; Ammour N; Sundgren M; Ericson M; Karakoyun T; Coorevits P; Kalra D; De Moor G; Dupont D
Contemp Clin Trials; 2016 Jan; 46():85-91. PubMed ID: 26600286
[TBL] [Abstract][Full Text] [Related]
14. Using electronic health records for clinical research: the case of the EHR4CR project.
De Moor G; Sundgren M; Kalra D; Schmidt A; Dugas M; Claerhout B; Karakoyun T; Ohmann C; Lastic PY; Ammour N; Kush R; Dupont D; Cuggia M; Daniel C; Thienpont G; Coorevits P
J Biomed Inform; 2015 Feb; 53():162-73. PubMed ID: 25463966
[TBL] [Abstract][Full Text] [Related]
15. Piloting the EHR4CR feasibility platform across Europe.
Doods J; Bache R; McGilchrist M; Daniel C; Dugas M; Fritz F;
Methods Inf Med; 2014; 53(4):264-8. PubMed ID: 24954881
[TBL] [Abstract][Full Text] [Related]
16. Efficiency and effectiveness evaluation of an automated multi-country patient count cohort system.
Soto-Rey I; Trinczek B; Girardeau Y; Zapletal E; Ammour N; Doods J; Dugas M; Fritz F
BMC Med Res Methodol; 2015 May; 15():44. PubMed ID: 25928269
[TBL] [Abstract][Full Text] [Related]
17. A method for probing disease relatedness using common clinical eligibility criteria.
Boland MR; Miotto R; Weng C
Stud Health Technol Inform; 2013; 192():481-5. PubMed ID: 23920601
[TBL] [Abstract][Full Text] [Related]
18. Textual inference for eligibility criteria resolution in clinical trials.
Shivade C; Hebert C; Lopetegui M; de Marneffe MC; Fosler-Lussier E; Lai AM
J Biomed Inform; 2015 Dec; 58 Suppl(Suppl):S211-S218. PubMed ID: 26376462
[TBL] [Abstract][Full Text] [Related]
19. Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials.
Jonnalagadda SR; Adupa AK; Garg RP; Corona-Cox J; Shah SJ
J Cardiovasc Transl Res; 2017 Jun; 10(3):313-321. PubMed ID: 28585184
[TBL] [Abstract][Full Text] [Related]
20. The value of structured data elements from electronic health records for identifying subjects for primary care clinical trials.
Ateya MB; Delaney BC; Speedie SM
BMC Med Inform Decis Mak; 2016 Jan; 16():1. PubMed ID: 26754574
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]