Literature DB >> 16354581

Current status of integrating information technologies into the clinical research enterprise within US academic health centers: strategic value and opportunities for investment.

Fran Turisco1, Diane Keogh, Connie Stubbs, John Glaser, William F Crowley.   

Abstract

Little information exists about the incorporation of information technologies (ITs) into clinical research processes within US academic health centers (AHCs). Therefore, we queried a group of 37 leading AHCs regarding their current status and future plans in clinical research IT. The survey specifically inquired about the presence or absence of basic infrastructure and IT support requirements; individual applications needed to support study preparation, study conduct, and its administrative support; and integration of data from basic research, clinical trials, and the clinical information systems increasingly used in health care delivery. Of the 37 AHCs, 78% responded. All strongly agreed that a "state-of-the-art" clinical research IT program would be ideal today and will be essential tomorrow. Nonetheless, no AHC currently has an IT solution that even approached this ideal. No AHC reported having all of the essential management foundations (ie, a coherent vision, an overall strategy, a governance structure, and a dedicated budget) necessary to launch and sustain a truly successful implementation of a cohesive clinical research IT platform. Many had achieved breakthroughs in individual aspects of clinical research IT, for example, adverse event reporting systems or consent form templates. However, overall implementation of IT to support clinical research is uneven and insufficient. These data document a substantial gap in clinical research IT investments in leading US AHCs. Linking the clinical research IT enterprise with its clinical operations in a meaningful fashion remains a crucial strategic goal of AHCs. If they are to continue to serve as the "translational research engines" that our society expects, AHCs must recognize this gap and allocate substantial resource deployment to remedying this situation.

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Year:  2005        PMID: 16354581     DOI: 10.2310/6650.2005.53806

Source DB:  PubMed          Journal:  J Investig Med        ISSN: 1081-5589            Impact factor:   2.895


  9 in total

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3.  Crossing the chasm: information technology to biomedical informatics.

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Journal:  J Investig Med       Date:  2011-06       Impact factor: 2.895

Review 4.  Synergies and distinctions between computational disciplines in biomedical research: perspective from the Clinical andTranslational Science Award programs.

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5.  Reducing the Single IRB Burden: Streamlining Electronic IRB Systems.

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6.  Generalizable Middleware to Support Use of REDCap Dynamic Data Pull for Integrating Clinical and Research Data.

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7.  An Interoperability Platform Enabling Reuse of Electronic Health Records for Signal Verification Studies.

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Journal:  Biomed Res Int       Date:  2016-03-31       Impact factor: 3.411

8.  A SOA-Based Platform to Support Clinical Data Sharing.

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9.  Using Electronic Health Records to Support Clinical Trials: A Report on Stakeholder Engagement for EHR4CR.

Authors:  Colin McCowan; Elizabeth Thomson; Cezary A Szmigielski; Dipak Kalra; Frank M Sullivan; Hans-Ulrich Prokosch; Martin Dugas; Ian Ford
Journal:  Biomed Res Int       Date:  2015-10-11       Impact factor: 3.411

  9 in total

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