Clinical Orthopaedics and Related Research®

, Volume 468, Issue 10, pp 2664–2671 | Cite as

Electronic Data Capture for Registries and Clinical Trials in Orthopaedic Surgery: Open Source versus Commercial Systems

  • Jatin Shah
  • Dimple Rajgor
  • Shreyasee Pradhan
  • Mariana McCready
  • Amrapali Zaveri
  • Ricardo Pietrobon
Symposium: ABJS Carl T. Brighton Workshop on Health Informatics



Collection and analysis of clinical data can help orthopaedic surgeons to practice evidence based medicine. Spreadsheets and offline relational databases are prevalent, but not flexible, secure, workflow friendly and do not support the generation of standardized and interoperable data. Additionally these data collection applications usually do not follow a structured and planned approach which may result in failure to achieve the intended goal.


Our purposes are (1) to provide a brief overview of EDC systems, their types, and related pros and cons as well as to describe commonly used EDC platforms and their features; and (2) describe simple steps involved in designing a registry/clinical study in DADOS P, an open source EDC system.

Where are we now?

Electronic data capture systems aimed at addressing these issues are widely being adopted at an institutional/national/international level but are lacking at an individual level. A wide array of features, relative pros and cons and different business models cause confusion and indecision among orthopaedic surgeons interested in implementing EDC systems.

Where do we need to go?

To answer clinical questions and actively participate in clinical studies, orthopaedic surgeons should collect data in parallel to their clinical activities. Adopting a simple, user-friendly, and robust EDC system can facilitate the data collection process.

How do we get there?

Conducting a balanced evaluation of available options and comparing them with intended goals and requirements can help orthopaedic surgeons to make an informed choice.


Electronic Data Capture Interactive Voice Response System Electronic Data Capture System Clinical Research Coordinator Clinical Data Management System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Supplementary material

11999_2010_1469_MOESM1_ESM.doc (25 kb)
Supplementary material 1 (DOC 25 kb)
11999_2010_1469_MOESM2_ESM.tif (47 kb)
Designing an eCRF for a clinical research study in DADOS P (TIFF 47 kb)
11999_2010_1469_MOESM3_ESM.tif (48 kb)
Adding subjects to a clinical research study in DADOS P (TIFF 47 kb)
11999_2010_1469_MOESM4_ESM.tif (56 kb)
Collecting data for a clinical research study through the user interface in DADOS P (TIFF 55 kb)
11999_2010_1469_MOESM5_ESM.tif (33 kb)
Extracting data from a clinical research study in DADOS P (TIFF 33 kb)


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Copyright information

© The Association of Bone and Joint Surgeons® 2010

Authors and Affiliations

  • Jatin Shah
    • 1
    • 2
  • Dimple Rajgor
    • 1
    • 2
  • Shreyasee Pradhan
    • 1
    • 2
  • Mariana McCready
    • 3
  • Amrapali Zaveri
    • 1
    • 4
  • Ricardo Pietrobon
    • 3
  1. 1.Duke-NUS Graduate Medical School SingaporeSingapore
  2. 2.Research on Research GroupDuke University Medical CenterDurhamUSA
  3. 3.Department of SurgeryDuke University Medical CenterDurhamUSA
  4. 4.National Neuroscience InstituteSingaporeSingapore

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