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Clinical Decision Support Consortium (CDSC)

The recruitment status of this study is unknown. The completion date has passed and the status has not been verified in more than two years.
Verified February 2012 by Blackford Middleton, MD, MPH, Brigham and Women's Hospital.
Recruitment status was:  Enrolling by invitation
ClinicalTrials.gov Identifier:
First Posted: March 2, 2009
Last Update Posted: February 29, 2012
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
Information provided by (Responsible Party):
Blackford Middleton, MD, MPH, Brigham and Women's Hospital
February 26, 2009
March 2, 2009
February 29, 2012
March 2008
July 2013   (Final data collection date for primary outcome measure)
Compliance with guideline [ Time Frame: 6 months ]
Same as current
Complete list of historical versions of study NCT00853619 on ClinicalTrials.gov Archive Site
Patient outcomes [ Time Frame: 6 months ]
Same as current
Not Provided
Not Provided
Clinical Decision Support Consortium
Clinical Decision Support Consortium for AHRQ CDS Research

The goal of the Clinical Decision Support (CDS) Consortium research study is to assess, define, demonstrate, and evaluate best practices for knowledge management (KM) and CDS in healthcare information technology across multiple ambulatory care settings and electronic health records (EHR) technology platforms.

There are seven specific research objectives focusing on two practical areas of implementation for clinical decision support services: a) healthcare maintenance and preventive care screening, and b) two chronic disease conditions: Coronary Artery Disease (CAD), and Adult-onset Diabetes Mellitus (AODM). The research objectives are: 1) Knowledge management lifecycle, 2) Knowledge specification, 3) Knowledge portal and repository, 4) CDS knowledge content and public web services, 5) CDS Dashboard, 6)Evaluation, and 7) Dissemination.

Investigators and developers of electronic health records from both academe and industry have come together to form the Clinical Decision Support (CDS) Consortium. Members of the CDS Consortium are intimately involved in creating and providing CDS tools and services in electronic health records used in both academic settings as well as community-based physician office practices. These investigators share a common interest and goal of enhancing the wide-spread adoption of CDS tools and services to improve the delivery of healthcare both domestically and world-wide.

Our approach to the project is iterative and cyclical: we will begin with a survey of the knowledge management lifecycle and supporting infrastructure (such as knowledge management systems, terminology services and data standards) at the participating clinical sites. We will then work together to define best practices for translating knowledge into a multi-layered array of human readable knowledge artifacts and public web services. At each point in this process, we will conduct careful evaluation, documenting lessons learned from each site. The ultimate work products will fall into three main categories:

First, tangible, actionable knowledge artifacts such as the shareable, human-readable and computable forms of clinical practice guidelines (CPGs) under study, public web-services for CDS demonstrations, and a CDS Knowledge Portal and Repository to facilitate widespread adoption of these artifacts.

Second, detailed guidance and recommendations, based on what we learn from our combined efforts, for external parties such as the Certification Commission for Health Information Technology (CCHIT), the Health Information Technology Standards Panel (HITSP), and the clinical practice guideline developer community.

Third, a set of knowledge and best practices, such as methods for the knowledge management lifecycle, development of both human readable knowledge artifacts and machine-interpretable knowledge, and management of decision-support related organizational change. We will share this knowledge through a variety of channels, such as presentations and academic papers.

Not Provided
Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: None (Open Label)
Primary Purpose: Health Services Research
  • Diabetes
  • Coronary Artery Disease
  • Hypertension
Other: Service based decision support intervention
Delivering CDS via services
Other Names:
  • Clinical Decision Support,
  • CDS Consortium,
  • Enterprise Clinical Rules Services
  • Experimental: Services Demo at PHS and RI
    Service based CDS intervention at PHS.
    Intervention: Other: Service based decision support intervention
  • Active Comparator: Normal CDS interventions at PHS and RI
    Normal CDS intervention at both PHS and RI hospitals
    Intervention: Other: Service based decision support intervention
Middleton B. The clinical decision support consortium. Stud Health Technol Inform. 2009;150:26-30.

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
Unknown status
July 2013
July 2013   (Final data collection date for primary outcome measure)

Inclusion Criteria:

  • PHS clinics using the LMR (Partners electronic health record system). These clinics include Massachusetts General Hospital Back Bay, Brigham Primary Physicians at Faulkner Hospital, Brigham PCA in Brookline, and Brigham and Women's Hospital at Foxboro.

Exclusion Criteria:

Sexes Eligible for Study: All
18 Years and older   (Adult, Senior)
Contact information is only displayed when the study is recruiting subjects
United States
Not Provided
Not Provided
Blackford Middleton, MD, MPH, Brigham and Women's Hospital
Brigham and Women's Hospital
Not Provided
Principal Investigator: Blackford Middleton, MD Brigham and Women's Hospital
Brigham and Women's Hospital
February 2012

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP