Clinical Research Informatics: Survey of Recent Advances and Trends in a Maturing Field

Embí, Peter J.

doi:10.1055/s-0038-1638853

Cited by 9 publications

(7 citation statements)

References 68 publications

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“…When implemented properly, electronic health records (EHRs) can improve safety and quality while reducing costs [1]. Likewise, clinical research informatics systems can extend the ability of clinical and translational researchers to advance health and medicine [2]. In addition, advances in bioinformatics improve our understanding of the human genome that can lead to new and improved tests and treatments for disease [3].…”

Section: Sufficient Time and Backtracking Opportunitiesmentioning

confidence: 99%

Commentaries on the IMIA Award of Excellence Lecture by Reinhold Haux

Hasman¹,

Hersh²,

Lorenzi³

et al. 2014

Yearb Med Inform

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Section: Sufficient Time and Backtracking Opportunitiesmentioning

confidence: 99%

Commentaries on the IMIA Award of Excellence Lecture by Reinhold Haux

Hasman¹,

Hersh²,

Lorenzi³

et al. 2014

Yearb Med Inform

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“…al. [5] surveyed clinical research informatics (CRI) papers published in scientific journal and conference proceedings from 2009 to 2013 and observed six common themes: 1) clinical data reuse for research; 2) data and knowledge management, discovery and standards; 3) researcher support and resources; 4) participant recruitment; 5) patients/consumers and CRI; and 6) policy, regulatory and fiscal matters. Large-scale, integrated data repositories are foundational for work in many of these areas, resulting in a growing number of academic medical centers assembling big data programs to support the local research enterprise.…”

Section: Introductionmentioning

confidence: 99%

Secondary use of clinical data: The Vanderbilt approach

Danciu

Cowan

Basford

et al. 2014

Journal of Biomedical Informatics

228

150

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The last decade has seen an exponential growth in the quantity of clinical data collected nationwide, triggering an increase in opportunities to reuse the data for biomedical research. The Vanderbilt research data warehouse framework consists of identified and de-identified clinical data repositories, fee-for-service custom services, and tools built atop the data layer to assist researchers across the enterprise. Providing resources dedicated to research initiatives benefits not only the research community, but also clinicians, patients and institutional leadership. This work provides a summary of our approach in the secondary use of clinical data for research domain, including a description of key components and a list of lessons learned, designed to assist others assembling similar services and infrastructure.

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“…The use of data derived from electronic health records (EHRs) for research and discovery is a growing area of investigation in clinical research informatics (CRI), defined as the intersection of research and biomedical informatics [1]. CRI has matured in recent years to be a prominent and active informatics sub-discipline [1,2]. CRI develops tools and methods to support researchers in study design, recruitment, and data collection, acquisition (including from EHR sources), and analysis [1].…”

Section: Introductionmentioning

confidence: 99%

Clinical Research Informatics and Electronic Health Record Data

Richesson

Horvath²,

Rusincovitch³

2014

Yearb Med Inform

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SummaryObjectives: The goal of this survey is to discuss the impact of the growing availability of electronic health record (EHR) data on the evolving field of Clinical Research Informatics (CRI), which is the union of biomedical research and informatics. Results: Major challenges for the use of EHR-derived data for research include the lack of standard methods for ensuring that data quality, completeness, and provenance are sufficient to assess the appropriateness of its use for research. Areas that need continued emphasis include methods for integrating data from heterogeneous sources, guidelines (including explicit phenotype definitions) for using these data in both pragmatic clinical trials and observational investigations, strong data governance to better understand and control quality of enterprise data, and promotion of national standards for representing and using clinical data. Conclusions: The use of EHR data has become a priority in CRI. Awareness of underlying clinical data collection processes will be essential in order to leverage these data for clinical research and patient care, and will require multi-disciplinary teams representing clinical research, informatics, and healthcare operations. Considerations for the use of EHR data provide a starting point for practical applications and a CRI research agenda, which will be facilitated by CRI's key role in the infrastructure of a learning healthcare system.

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Clinical Research Informatics: Survey of Recent Advances and Trends in a Maturing Field

Cited by 9 publications

References 68 publications

Commentaries on the IMIA Award of Excellence Lecture by Reinhold Haux

Commentaries on the IMIA Award of Excellence Lecture by Reinhold Haux

Secondary use of clinical data: The Vanderbilt approach

Clinical Research Informatics and Electronic Health Record Data

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