Literature DB >> 21816958

The NIAID Division of AIDS enterprise information system: integrated decision support for global clinical research programs.

Jonathan M Kagan1, Nitin Gupta, Suresh Varghese, Hemant Virkar.   

Abstract

The National Institute of Allergy and Infectious Diseases (NIAID) Division of AIDS (DAIDS) Enterprise Information System (DAIDS-ES) is a web-based system that supports NIAID in the scientific, strategic, and tactical management of its global clinical research programs for HIV/AIDS vaccines, prevention, and therapeutics. Different from most commercial clinical trials information systems, which are typically protocol-driven, the DAIDS-ES was built to exchange information with those types of systems and integrate it in ways that help scientific program directors lead the research effort and keep pace with the complex and ever-changing global HIV/AIDS pandemic. Whereas commercially available clinical trials support systems are not usually disease-focused, DAIDS-ES was specifically designed to capture and incorporate unique scientific, demographic, and logistical aspects of HIV/AIDS treatment, prevention, and vaccine research in order to provide a rich source of information to guide informed decision-making. Sharing data across its internal components and with external systems, using defined vocabularies, open standards and flexible interfaces, the DAIDS-ES enables NIAID, its global collaborators and stakeholders, access to timely, quality information about NIAID-supported clinical trials which is utilized to: (1) analyze the research portfolio, assess capacity, identify opportunities, and avoid redundancies; (2) help support study safety, quality, ethics, and regulatory compliance; (3) conduct evidence-based policy analysis and business process re-engineering for improved efficiency. This report summarizes how the DAIDS-ES was conceptualized, how it differs from typical clinical trial support systems, the rationale for key design choices, and examples of how it is being used to advance the efficiency and effectiveness of NIAID's HIV/AIDS clinical research programs.

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Year:  2011        PMID: 21816958      PMCID: PMC3241160          DOI: 10.1136/amiajnl-2011-000114

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  2 in total

1.  Better access to information about clinical trials.

Authors:  A T McCray
Journal:  Ann Intern Med       Date:  2000-10-17       Impact factor: 25.391

2.  Developing a conceptual framework for an evaluation system for the NIAID HIV/AIDS clinical trials networks.

Authors:  Jonathan M Kagan; Mary Kane; Kathleen M Quinlan; Scott Rosas; William M K Trochim
Journal:  Health Res Policy Syst       Date:  2009-05-21
  2 in total
  5 in total

1.  Evaluating protocol lifecycle time intervals in HIV/AIDS clinical trials.

Authors:  Scott R Rosas; Jeffrey T Schouten; Dennis Dixon; Suresh Varghese; Marie T Cope; Joe Marci; Jonathan M Kagan
Journal:  Clin Trials       Date:  2014-06-30       Impact factor: 2.486

2.  Optimization of current and future therapy for autoimmune diseases.

Authors:  Lawrence Steinman; Joan T Merrill; Iain B McInnes; Mark Peakman
Journal:  Nat Med       Date:  2012-01-06       Impact factor: 53.440

3.  Clinical research informatics: a conceptual perspective.

Authors:  Michael G Kahn; Chunhua Weng
Journal:  J Am Med Inform Assoc       Date:  2012-04-20       Impact factor: 4.497

4.  Assessing the challenges of multi-scope clinical research sites: an example from NIH HIV/AIDS clinical trials networks.

Authors:  Scott R Rosas; Marie T Cope; Christie Villa; Mahnaz Motevalli; Jill Utech; Jeffrey T Schouten
Journal:  J Eval Clin Pract       Date:  2013-11-13       Impact factor: 2.431

5.  Modeling the dissemination and uptake of clinical trials results.

Authors:  Scott R Rosas; Jeffrey T Schouten; Marie T Cope; Jonathan M Kagan
Journal:  Res Eval       Date:  2013-09
  5 in total

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