help button home button JAMIA Hate scrolling?
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Nadkarni, P. M.
Right arrow Articles by Miller, P. L.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Nadkarni, P. M.
Right arrow Articles by Miller, P. L.
Journal of the American Medical Informatics Association 5:139-151 (1998)
© 1998 American Medical Informatics Association


Application of Technology

Managing Attribute—Value Clinical Trials Data Using the ACT/DB Client—Server Database System

Prakash M. Nadkarni, MD, Cynthia Brandt, MC, MPH, Sandra Frawley, PhD, Frederick G. Sayward, PhD, Robin Einbinder, BS, Daniel Zelterman, PhD, Lee Schacter, MD and Perry L. Miller, MD, PhD

Affiliation of the authors: Center for Medical Informatics (PMD, CB, SF, FGS, RE, PLM) and Yale Cancer Center (DZ, LS), Yale University School of Medicine, New Haven, CT.

Correspondence and reprints: Prakash M. Nadkarni, MD, Center for Medical Informatics, Yale University School of Medicine, P.O. Box 208009, New Haven, CT 06520-8009. e-mail: <Prakash.Nadkarni{at}yale.edu>

Abstract ACT/DB is a client—server database application for storing clinical trials and outcomes data, which is currently undergoing initial pilot use. It stores most of its data in entity—attribute—value form. Such data are segregated according to data type to allow indexing by value when possible, and binary large object data are managed in the same way as other data. ACT/DB lets an investigator design a study rapidly by defining the parameters (or attributes) that are to be gathered, as well as their logical grouping for purposes of display and data entry. ACT/DB generates customizable data entry. The data can be viewed through several standard reports as well as exported as text to external analysis programs. ACT/DB is designed to encourage reuse of parameters across multiple studies and has facilities for dictionary search and maintenance. It uses a Microsoft Access client running on Windows 95 machines, which communicates with an Oracle server running on a UNIX platform. ACT/DB is being used to manage the data for seven studies in its initial deployment.




This article has been cited by other articles:


Home page
Genome Res.Home page
J. S. Rozowsky, D. Newburger, F. Sayward, J. Wu, G. Jordan, J. O. Korbel, U. Nagalakshmi, J. Yang, D. Zheng, R. Guigo, et al.
The DART classification of unannotated transcription within the ENCODE regions: Associating transcription with known and novel loci
Genome Res., June 1, 2007; 17(6): 732 - 745.
[Abstract] [Full Text] [PDF]


Home page
J. Am. Med. Inform. Assoc.Home page
J. Corwin, A. Silberschatz, P. L. Miller, and L. Marenco
Dynamic Tables: An Architecture for Managing Evolving, Heterogeneous Biomedical Data in Relational Database Management Systems
J. Am. Med. Inform. Assoc., January 1, 2007; 14(1): 86 - 93.
[Abstract] [Full Text] [PDF]


Home page
Clin TrialsHome page
A G. Oliveira and N. C Salgado
Design aspects of a distributed clinical trials information system
Clinical Trials, August 1, 2006; 3(4): 385 - 396.
[Abstract] [PDF]


Home page
J. Am. Med. Inform. Assoc.Home page
C. A. Brandt, R. Gadagkar, C. Rodriguez, and P. M. Nadkarni
Managing Complex Change in Clinical Study Metadata
J. Am. Med. Inform. Assoc., September 1, 2004; 11(5): 380 - 391.
[Abstract] [Full Text] [PDF]


Home page
J. Am. Med. Inform. Assoc.Home page
M. A. Shifman, R. Srivastava, C. A. Brandt, T.-R. Li, K. White, and P. L. Miller
Exploring the Portability of Informatics Capabilities from a Clinical Application to a Bioscience Application
J. Am. Med. Inform. Assoc., July 1, 2004; 11(4): 294 - 299.
[Abstract] [Full Text] [PDF]


Home page
J. Am. Med. Inform. Assoc.Home page
L. Marenco, N. Tosches, C. Crasto, G. Shepherd, P. L. Miller, and P. M. Nadkarni
Achieving Evolvable Web-Database Bioscience Applications Using the EAV/CR Framework: Recent Advances
J. Am. Med. Inform. Assoc., September 1, 2003; 10(5): 444 - 453.
[Abstract] [Full Text] [PDF]


Home page
J. Am. Med. Inform. Assoc.Home page
A. M. Deshpande, C. Brandt, and P. M. Nadkarni
Metadata-driven Ad Hoc Query of Patient Data: Meeting the Needs of Clinical Studies
J. Am. Med. Inform. Assoc., July 1, 2002; 9(4): 369 - 382.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
C. Crasto, L. Marenco, P. Miller, and G. Shepherd
Olfactory Receptor Database: a metadata-driven automated population from sources of gene and protein sequences
Nucleic Acids Res., January 1, 2002; 30(1): 354 - 360.
[Abstract] [Full Text] [PDF]


Home page
J. Am. Med. Inform. Assoc.Home page
P. L. Miller, P. Nadkarni, M. Singer, L. Marenco, M. Hines, and G. Shepherd
Integration of Multidisciplinary Sensory Data:: A Pilot Model of the Human Brain Project Approach
J. Am. Med. Inform. Assoc., January 1, 2001; 8(1): 34 - 48.
[Abstract] [Full Text]


Home page
J. Am. Med. Inform. Assoc.Home page
P. L. Miller
Opportunities at the Intersection of Bioinformatics and Health Informatics: A Case Study
J. Am. Med. Inform. Assoc., September 1, 2000; 7(5): 431 - 438.
[Abstract] [Full Text]


Home page
J. Am. Med. Inform. Assoc.Home page
R. S. Chen, P. Nadkarni, L. Marenco, F. Levin, J. Erdos, and P. L. Miller
Exploring Performance Issues for a Clinical Database Organized Using an Entity-Attribute-Value Representation
J. Am. Med. Inform. Assoc., September 1, 2000; 7(5): 475 - 487.
[Abstract] [Full Text]


Home page
J. Am. Med. Inform. Assoc.Home page
P. M. Nadkarni, C. M. Brandt, and L. Marenco
WebEAV: Automatic Metadata-driven Generation of Web Interfaces to Entity-Attribute-Value Databases
J. Am. Med. Inform. Assoc., July 1, 2000; 7(4): 343 - 356.
[Abstract] [Full Text] [PDF]


Home page
J. Am. Med. Inform. Assoc.Home page
A. T. McCray and N. C. Ide
Design and Implementation of a National Clinical Trials Registry
J. Am. Med. Inform. Assoc., May 1, 2000; 7(3): 313 - 323.
[Abstract] [Full Text]


Home page
J. Am. Med. Inform. Assoc.Home page
P. M. Nadkarni, L. Marenco, R. Chen, E. Skoufos, G. Shepherd, and P. Miller
Organization of Heterogeneous Scientific Data Using the EAV/CR Representation
J. Am. Med. Inform. Assoc., November 1, 1999; 6(6): 478 - 493.
[Abstract] [Full Text] [PDF]


Home page
J. Am. Med. Inform. Assoc.Home page
P. M. Nadkarni and C. Brandt
Data Extraction and Ad Hoc Query of an Entity-- Attribute-- Value Database
J. Am. Med. Inform. Assoc., November 1, 1998; 5(6): 511 - 527.
[Abstract] [Full Text]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 1998 by the American Medical Informatics Association.