Yearb Med Inform 2013; 22(01): 185-189
DOI: 10.1055/s-0038-1638854
Original Article
Georg Thieme Verlag KG Stuttgart

Information Technology for Clinical, Translational and Comparative Effectiveness Research

Findings from the Section Clinical Research InformaticsSection Editors for the IMIA Yearbook Section on Clinical Research Informatics
C. Daniel
1   INSERM UMRS 872 eq 20, Paris, France
,
R. Choquet
1   INSERM UMRS 872 eq 20, Paris, France
› Author Affiliations
Further Information

Correpsondence to:

Christel Daniel, MD, PhD
INSERM UMRS 872 équipe 20
CCS Patient – Assistance Publique – Hôpitaux de Paris
05 rue Santerre – 75 012 Paris
Phone: +33 1 48 04 20 47   

Publication History

Publication Date:
05 March 2018 (online)

 

Summary

Objectives: To summarize advances of excellent current research in the new emerging field of Clinical Research Informatics.

Method: Synopsis of four key articles selected for the IMIA Yearbook 2013. The selection was performed by querying PubMed and Web of Science with predefined keywords. From the original set of 590 papers, a first subset of 461 articles which was in the scope of Clinical Research Informatics was refined into a second subset of 79 relevant articles from which 15 articles were retained for peer-review.

Results: The four selected articles exemplify current research efforts conducted in the areas of data representation and management in clinical trials, secondary use of EHR data for clinical research, information technology platforms for translational and comparative effectiveness research and implementation of privacy control.

Conclusions: The selected articles not only illustrate how innovative information technology supports classically organized randomized controlled trials but also demonstrate that the long promised benefits of electronic health care data for research are becoming a reality through concrete platforms and projects.


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  • References

  • 1 Sim I, Carini S, Tu SW, Detwiler LT, Brinkley J, Mollah SA. et al. Ontology-based federated data access to human studies information. AMIA Annu Symp Proc 2012; 856-65.
  • 2 Linked CT. Linked CT Databrowse [Internet]. [cited 2013 May 5]. Available from: http://data.linkedct.org/
  • 3 Tasneem A, Aberle L, Ananth H, Chakraborty S, Chiswell K, McCourt BJ. et al. The database for aggregate analysis of ClinicalTrials.gov (AACT) and subsequent regrouping by clinical specialty. Plos One 2012; 7 (3) e33677.
  • 4 Bansal A, Chamberlain R, Karr S, Kwasa S, McLaughlin B, Nguyen B. et al. A 21 CFR Part 11 compliant graphically based electronic system for clinical research documentation. J Med Syst 2012; 36 (3) 1661-72.
  • 5 Murphy SN, Dubey A, Embi PJ, Harris PA, Richter BG, Turisco F. et al. Current state of information technologies for the clinical research enterprise across academic medical centers. Clin Transl Sci 2012; Jun 5 (3) 281-4.
  • 6 Bettencourt-Silva J, De La Iglesia B, Donell S, Rayward-Smith V. On creating a patient-centric database from multiple Hospital Information Systems. Methods Inf Med 2012; 51 (3) 210-20.
  • 7 Kohane IS, Churchill SE, Murphy SN. A translational engine at the national scale: informatics for integrating biology and the bedside. J Am Med Inform Assoc 2012; Apr 19 (2) 181-5.
  • 8 D'Amore JD, Sittig DF, Ness RB. How the continuity of care document can advance medical research and public health. Am J Public Health 2012; May 102 (5) e1-4.
  • 9 Eder J, Gottweis H, Zatloukal K. IT solutions for privacy protection in biobanking. Public Health Genomics 2012; 15 (5) 254-62.
  • 10 King T, Brankovic L, Gillard P. Perspectives of Australian adults about protecting the privacy of their health information in statistical databases. Int J Med Inform 2012; Apr 81 (4) 279-89.
  • 11 Bemmels HR, Wolf SM, Van Ness B. Mapping the inputs, analyses, and outputs of biobank research systems to identify sources of incidental findings and individual research results for potential return to participants. Genet Med 2012; Apr 14 (4) 385-92.
  • 12 Bledsoe MJ, Grizzle WE, Clark BJ, Zeps N. Practical implementation issues and challenges for biobanks in the return of individual research results. Genet Med 2012; Apr 14 (4) 478-83.
  • 13 Jensen PB, Jensen LJ, Brunak S. Mining electronic health records: towards better research applications and clinical care. Nat Rev Genet 2012; Jun 13 (6) 395-405.
  • 14 Sittig DF, Hazlehurst BL, Brown J, Murphy S, Rosenman M, Tarczy-Hornoch P. et al. A survey of informatics platforms that enable distributed comparative effectiveness research using multi-institutional heterogenous clinical data. Med Care 2012; Jul 50 Suppl S49-59.
  • 15 Geissbuhler A, Safran C, Buchan I, Bellazzi R, Labkoff S, Eilenberg K. et al. Trustworthy reuse of health data: A transnational perspective. Int J Med Inform 2013; Jan 82 (1) 1-9.
  • 16 Rea S, Pathak J, Savova G, Oniki TA, Westberg L, Beebe CE. et al. Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn project. J Biomed Inform 2012; Aug 45 (4) 763-71.

Correpsondence to:

Christel Daniel, MD, PhD
INSERM UMRS 872 équipe 20
CCS Patient – Assistance Publique – Hôpitaux de Paris
05 rue Santerre – 75 012 Paris
Phone: +33 1 48 04 20 47   

  • References

  • 1 Sim I, Carini S, Tu SW, Detwiler LT, Brinkley J, Mollah SA. et al. Ontology-based federated data access to human studies information. AMIA Annu Symp Proc 2012; 856-65.
  • 2 Linked CT. Linked CT Databrowse [Internet]. [cited 2013 May 5]. Available from: http://data.linkedct.org/
  • 3 Tasneem A, Aberle L, Ananth H, Chakraborty S, Chiswell K, McCourt BJ. et al. The database for aggregate analysis of ClinicalTrials.gov (AACT) and subsequent regrouping by clinical specialty. Plos One 2012; 7 (3) e33677.
  • 4 Bansal A, Chamberlain R, Karr S, Kwasa S, McLaughlin B, Nguyen B. et al. A 21 CFR Part 11 compliant graphically based electronic system for clinical research documentation. J Med Syst 2012; 36 (3) 1661-72.
  • 5 Murphy SN, Dubey A, Embi PJ, Harris PA, Richter BG, Turisco F. et al. Current state of information technologies for the clinical research enterprise across academic medical centers. Clin Transl Sci 2012; Jun 5 (3) 281-4.
  • 6 Bettencourt-Silva J, De La Iglesia B, Donell S, Rayward-Smith V. On creating a patient-centric database from multiple Hospital Information Systems. Methods Inf Med 2012; 51 (3) 210-20.
  • 7 Kohane IS, Churchill SE, Murphy SN. A translational engine at the national scale: informatics for integrating biology and the bedside. J Am Med Inform Assoc 2012; Apr 19 (2) 181-5.
  • 8 D'Amore JD, Sittig DF, Ness RB. How the continuity of care document can advance medical research and public health. Am J Public Health 2012; May 102 (5) e1-4.
  • 9 Eder J, Gottweis H, Zatloukal K. IT solutions for privacy protection in biobanking. Public Health Genomics 2012; 15 (5) 254-62.
  • 10 King T, Brankovic L, Gillard P. Perspectives of Australian adults about protecting the privacy of their health information in statistical databases. Int J Med Inform 2012; Apr 81 (4) 279-89.
  • 11 Bemmels HR, Wolf SM, Van Ness B. Mapping the inputs, analyses, and outputs of biobank research systems to identify sources of incidental findings and individual research results for potential return to participants. Genet Med 2012; Apr 14 (4) 385-92.
  • 12 Bledsoe MJ, Grizzle WE, Clark BJ, Zeps N. Practical implementation issues and challenges for biobanks in the return of individual research results. Genet Med 2012; Apr 14 (4) 478-83.
  • 13 Jensen PB, Jensen LJ, Brunak S. Mining electronic health records: towards better research applications and clinical care. Nat Rev Genet 2012; Jun 13 (6) 395-405.
  • 14 Sittig DF, Hazlehurst BL, Brown J, Murphy S, Rosenman M, Tarczy-Hornoch P. et al. A survey of informatics platforms that enable distributed comparative effectiveness research using multi-institutional heterogenous clinical data. Med Care 2012; Jul 50 Suppl S49-59.
  • 15 Geissbuhler A, Safran C, Buchan I, Bellazzi R, Labkoff S, Eilenberg K. et al. Trustworthy reuse of health data: A transnational perspective. Int J Med Inform 2013; Jan 82 (1) 1-9.
  • 16 Rea S, Pathak J, Savova G, Oniki TA, Westberg L, Beebe CE. et al. Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn project. J Biomed Inform 2012; Aug 45 (4) 763-71.