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Citing this Article

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Published on 01.07.14 in Vol 16, No 7 (2014): July

This paper is in the following e-collection/theme issue:

Works citing "Employing Computers for the Recruitment into Clinical Trials: A Comprehensive Systematic Review"

Felix Köpcke, Hans-Ulrich Prokosch

J Med Internet Res 2014 (Jul 01); 16(7):e161 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3446):

(note that this is only a small subset of citations)

  1. Diaz-Garelli J, Strowd R, Ahmed T, Wells BJ, Merrill R, Laurini J, Pasche B, Topaloglu U. A tale of three subspecialties: Diagnosis recording patterns are internally consistent but Specialty-Dependent. JAMIA Open 2019;2(3):369
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  2. Gleason KT, Ford DE, Gumas D, Woods B, Appel L, Murray P, Meyer M, Dennison Himmelfarb CR. Development and preliminary evaluation of a patient portal messaging for research recruitment service. Journal of Clinical and Translational Science 2018;2(1):53
    CrossRef
  3. Mallappallil M, Sabu J, Gruessner A, Salifu M. A review of big data and medical research. SAGE Open Medicine 2020;8:205031212093483
    CrossRef
  4. Feldmeth G, Naureckas ET, Solway J, Lindau ST. Embedding research recruitment in a community resource e-prescribing system: lessons from an implementation study on Chicago’s South Side. Journal of the American Medical Informatics Association 2019;26(8-9):840
    CrossRef
  5. Frampton GK, Shepherd J, Pickett K, Griffiths G, Wyatt JC. Digital tools for the recruitment and retention of participants in randomised controlled trials: a systematic map. Trials 2020;21(1)
    CrossRef
  6. Applequist J, Burroughs C, Ramirez A, Merkel PA, Rothenberg ME, Trapnell B, Desnick RJ, Sahin M, Krischer JP. A novel approach to conducting clinical trials in the community setting: utilizing patient-driven platforms and social media to drive web-based patient recruitment. BMC Medical Research Methodology 2020;20(1)
    CrossRef
  7. Palac HL, Alam N, Kaiser SM, Ciolino JD, Lattie EG, Mohr DC. A Practical Do-It-Yourself Recruitment Framework for Concurrent eHealth Clinical Trials: Simple Architecture (Part 1). Journal of Medical Internet Research 2018;20(11):e11049
    CrossRef
  8. Samuels MH, Schuff R, Beninato P, Gorsuch A, Dursch J, Egan S, Adams B, Hollis KF, Navarro R, Burdick TE. Effectiveness and cost of recruiting healthy volunteers for clinical research studies using an electronic patient portal: A randomized study. Journal of Clinical and Translational Science 2017;1(6):366
    CrossRef
  9. Miller HN, Gleason KT, Juraschek SP, Plante TB, Lewis-Land C, Woods B, Appel LJ, Ford DE, Dennison Himmelfarb CR. Electronic medical record–based cohort selection and direct-to-patient, targeted recruitment: early efficacy and lessons learned. Journal of the American Medical Informatics Association 2019;26(11):1209
    CrossRef
  10. Taft T, Weir C, Kramer H, Facelli JC. Primary care perspectives on implementation of clinical trial recruitment. Journal of Clinical and Translational Science 2020;4(1):61
    CrossRef
  11. . Wireless Heartrate Monitoring Along Prioritized Alert Notification Using Mobile Techniques. International Journal of Applied Research on Public Health Management 2019;4(1):35
    CrossRef
  12. Toddenroth D, Sivagnanasundaram J, Prokosch H, Ganslandt T. Concept and implementation of a study dashboard module for a continuous monitoring of trial recruitment and documentation. Journal of Biomedical Informatics 2016;64:222
    CrossRef
  13. von Lucadou M, Ganslandt T, Prokosch H, Toddenroth D. Feasibility analysis of conducting observational studies with the electronic health record. BMC Medical Informatics and Decision Making 2019;19(1)
    CrossRef
  14. Hein A, Gass P, Walter CB, Taran F, Hartkopf A, Overkamp F, Kolberg H, Hadji P, Tesch H, Ettl J, Wuerstlein R, Lounsbury D, Lux MP, Lüftner D, Wallwiener M, Müller V, Belleville E, Janni W, Fehm TN, Wallwiener D, Ganslandt T, Ruebner M, Beckmann MW, Schneeweiss A, Fasching PA, Brucker SY. Computerized patient identification for the EMBRACA clinical trial using real-time data from the PRAEGNANT network for metastatic breast cancer patients. Breast Cancer Research and Treatment 2016;158(1):59
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  15. Krischer J, Cronholm PF, Burroughs C, McAlear CA, Borchin R, Easley E, Davis T, Kullman J, Carette S, Khalidi N, Koening C, Langford CA, Monach P, Moreland L, Pagnoux C, Specks U, Sreih AG, Ytterberg S, Merkel PA. Experience With Direct-to-Patient Recruitment for Enrollment Into a Clinical Trial in a Rare Disease: A Web-Based Study. Journal of Medical Internet Research 2017;19(2):e50
    CrossRef
  16. Heerman WJ, Jackson N, Roumie CL, Harris PA, Rosenbloom ST, Pulley J, Wilkins CH, Williams NA, Crenshaw D, Leak C, Scherdin J, Muñoz D, Bachmann J, Rothman RL, Kripalani S. Recruitment methods for survey research: Findings from the Mid-South Clinical Data Research Network. Contemporary Clinical Trials 2017;62:50
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  17. Kondylakis H, Claerhout B, Keyur M, Koumakis L, van Leeuwen J, Marias K, Perez-Rey D, De Schepper K, Tsiknakis M, Bucur A. The INTEGRATE project: Delivering solutions for efficient multi-centric clinical research and trials. Journal of Biomedical Informatics 2016;62:32
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  18. Geller NL, Kim D, Tian X. Smart Technology in Lung Disease Clinical Trials. Chest 2016;149(1):22
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  19. Girardeau Y, Doods J, Zapletal E, Chatellier G, Daniel C, Burgun A, Dugas M, Rance B. Leveraging the EHR4CR platform to support patient inclusion in academic studies: challenges and lessons learned. BMC Medical Research Methodology 2017;17(1)
    CrossRef
  20. Shivade C, Hebert C, Lopetegui M, de Marneffe M, Fosler-Lussier E, Lai AM. Textual inference for eligibility criteria resolution in clinical trials. Journal of Biomedical Informatics 2015;58:S211
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  21. Blatch-Jones A, Nuttall J, Bull A, Worswick L, Mullee M, Peveler R, Falk S, Tape N, Hinks J, Lane AJ, Wyatt JC, Griffiths G. Using digital tools in the recruitment and retention in randomised controlled trials: survey of UK Clinical Trial Units and a qualitative study. Trials 2020;21(1)
    CrossRef
  22. Diaz-Garelli F, Strowd R, Lawson VL, Mayorga ME, Wells BJ, Lycan TW, Topaloglu U. Workflow Differences Affect Data Accuracy in Oncologic EHRs: A First Step Toward Detangling the Diagnosis Data Babel. JCO Clinical Cancer Informatics 2020;(4):529
    CrossRef
  23. Leyens L, Reumann M, Malats N, Brand A. Use of big data for drug development and for public and personal health and care. Genetic Epidemiology 2017;41(1):51
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  24. Jonnalagadda SR, Adupa AK, Garg RP, Corona-Cox J, Shah SJ. Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials. Journal of Cardiovascular Translational Research 2017;10(3):313
    CrossRef
  25. Xu J, Rasmussen LV, Shaw PL, Jiang G, Kiefer RC, Mo H, Pacheco JA, Speltz P, Zhu Q, Denny JC, Pathak J, Thompson WK, Montague E. Review and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research. Journal of the American Medical Informatics Association 2015;22(6):1251
    CrossRef
  26. Beskow LM, Brelsford KM, Hammack CM. Patient perspectives on use of electronic health records for research recruitment. BMC Medical Research Methodology 2019;19(1)
    CrossRef
  27. Becker L, Ganslandt T, Prokosch H, Newe A. Applied Practice and Possible Leverage Points for Information Technology Support for Patient Screening in Clinical Trials: Qualitative Study. JMIR Medical Informatics 2020;8(6):e15749
    CrossRef
  28. Pung J, Rienhoff O. Key components and IT assistance of participant management in clinical research: a scoping review. JAMIA Open 2020;3(3):449
    CrossRef
  29. Beskow LM, Brelsford KM, Hammack-Aviran CM. EHR phenotyping for research recruitment: Researcher, IRB, and physician perspectives on approaches to contacting patients. Journal of Clinical and Translational Science 2021;5(1)
    CrossRef
  30. Huebner H, Kurbacher CM, Kuesters G, Hartkopf AD, Lux MP, Huober J, Volz B, Taran F, Overkamp F, Tesch H, Häberle L, Lüftner D, Wallwiener M, Müller V, Beckmann MW, Belleville E, Ruebner M, Untch M, Fasching PA, Janni W, Fehm TN, Kolberg H, Wallwiener D, Brucker SY, Schneeweiss A, Ettl J. Heregulin (HRG) assessment for clinical trial eligibility testing in a molecular registry (PRAEGNANT) in Germany. BMC Cancer 2020;20(1)
    CrossRef
  31. Callahan A, Polony V, Posada JD, Banda JM, Gombar S, Shah NH. ACE: the Advanced Cohort Engine for searching longitudinal patient records. Journal of the American Medical Informatics Association 2021;28(7):1468
    CrossRef
  32. Naceanceno KS, House SL, Asaro PV. Shared-Task Worklists Improve Clinical Trial Recruitment Workflow in an Academic Emergency Department. Applied Clinical Informatics 2021;12(02):293
    CrossRef
  33. Diaz-Garelli F, Strowd R, Ahmed T, Lycan TW, Daley S, Wells BJ, Topaloglu U. What Oncologists Want: Identifying Challenges and Preferences on Diagnosis Data Entry to Reduce EHR-Induced Burden and Improve Clinical Data Quality. JCO Clinical Cancer Informatics 2021;(5):527
    CrossRef
  34. Jungo KT, Meier R, Valeri F, Schwab N, Schneider C, Reeve E, Spruit M, Schwenkglenks M, Rodondi N, Streit S. Baseline characteristics and comparability of older multimorbid patients with polypharmacy and general practitioners participating in a randomized controlled primary care trial. BMC Family Practice 2021;22(1)
    CrossRef
  35. BORGWARDT S, FORKEL W, KOVTUNOVA A. Temporal Minimal-World Query Answering over Sparse ABoxes. Theory and Practice of Logic Programming 2022;22(2):193
    CrossRef
  36. Fitzer K, Haeuslschmid R, Blasini R, Altun FB, Hampf C, Freiesleben S, Macho P, Prokosch H, Gulden C. Patient Recruitment System for Clinical Trials: Mixed Methods Study About Requirements at Ten University Hospitals. JMIR Medical Informatics 2022;10(4):e28696
    CrossRef
  37. Idnay B, Dreisbach C, Weng C, Schnall R. A systematic review on natural language processing systems for eligibility prescreening in clinical research. Journal of the American Medical Informatics Association 2021;29(1):197
    CrossRef
  38. Vorisek CN, Lehne M, Klopfenstein SAI, Mayer PJ, Bartschke A, Haese T, Thun S. Fast Healthcare Interoperability Resources (FHIR) for Interoperability in Health Research: Systematic Review. JMIR Medical Informatics 2022;10(7):e35724
    CrossRef
  39. Haynes RM, Sirintrapun SJ, Gao J, McKenzie AJ. Using Technology to Enhance Cancer Clinical Trial Participation. American Society of Clinical Oncology Educational Book 2022;(42):39
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  40. Rafee A, Riepenhausen S, Neuhaus P, Meidt A, Dugas M, Varghese J. ELaPro, a LOINC-mapped core dataset for top laboratory procedures of eligibility screening for clinical trials. BMC Medical Research Methodology 2022;22(1)
    CrossRef
  41. Lee S, Lee N, Kirkpatrick CE. Effects of Communication Source and Racial Representation in Clinical Trial Recruitment Flyers. Health Communication 2023;38(4):790
    CrossRef
  42. Bazoge A, Morin E, Daille B, Gourraud P. Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review. JMIR Medical Informatics 2023;11:e42477
    CrossRef
  43. Widera P, Welsing PM, Danso SO, Peelen S, Kloppenburg M, Loef M, Marijnissen AC, van Helvoort EM, Blanco FJ, Magalhães J, Berenbaum F, Haugen IK, Bay-Jensen A, Mobasheri A, Ladel C, Loughlin J, Lafeber FP, Lalande A, Larkin J, Weinans H, Bacardit J. Development and validation of a machine learning-supported strategy of patient selection for osteoarthritis clinical trials: the IMI-APPROACH study. Osteoarthritis and Cartilage Open 2023;5(4):100406
    CrossRef
  44. Boeker M, Zöller D, Blasini R, Macho P, Helfer S, Behrens M, Prokosch H, Gulden C. Effectiveness of IT-supported patient recruitment: study protocol for an interrupted time series study at ten German university hospitals. Trials 2024;25(1)
    CrossRef
  45. Idnay B, Liu J, Fang Y, Hernandez A, Kaw S, Etwaru A, Juarez Padilla J, Ramírez SO, Marder K, Weng C, Schnall R. Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer’s disease and related dementias. Journal of the American Medical Informatics Association 2024;31(5):1062
    CrossRef
  46. Gulden C, Macho P, Reinecke I, Strantz C, Prokosch H, Blasini R. recruIT: A cloud-native clinical trial recruitment support system based on Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) and the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM). Computers in Biology and Medicine 2024;174:108411
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3446):

  1. Haque R, Nazir A. Drug Design: Principles and Applications. 2017. Chapter 2:9
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  2. Friedman LM, Furberg CD, DeMets DL, Reboussin DM, Granger CB. Fundamentals of Clinical Trials. 2015. Chapter 10:215
    CrossRef
  3. Simmons M, Singhal A, Lu Z. Translational Biomedical Informatics. 2016. Chapter 7:139
    CrossRef
  4. Borlikova G, Phillips M, Smith L, O’Neill M. Applications of Evolutionary Computation. 2016. Chapter 4:46
    CrossRef
  5. Fajarda O, Trifan A, Van Speybroeck M, Rijnbeek PR, Oliveira JL. Biomedical Engineering Systems and Technologies. 2019. Chapter 19:367
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  6. Borgwardt S, Forkel W. Logics in Artificial Intelligence. 2019. Chapter 24:371
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  7. . Hospital Management and Emergency Medicine. 2020. chapter 13:230
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