Clinical Decision Support Consortium

NCT ID: NCT00853619

Last Updated: 2012-02-29

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

70 participants

Study Classification

INTERVENTIONAL

Study Start Date

2008-03-31

Study Completion Date

2013-07-31

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Diabetes Coronary Artery Disease Hypertension

Keywords

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clinical decision support knowledge management knowledge representation clinical guidelines coronary artery disease myocardial ischemia diabetes mellitus hypertension

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

NONE

Study Groups

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Services Demo at PHS and RI

Service based CDS intervention at PHS.

Group Type EXPERIMENTAL

Service based decision support intervention

Intervention Type OTHER

Delivering CDS via services

Normal CDS interventions at PHS and RI

Normal CDS intervention at both PHS and RI hospitals

Group Type ACTIVE_COMPARATOR

Service based decision support intervention

Intervention Type OTHER

Delivering CDS via services

Interventions

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Service based decision support intervention

Delivering CDS via services

Intervention Type OTHER

Other Intervention Names

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Clinical Decision Support, CDS Consortium, Enterprise Clinical Rules Services

Eligibility Criteria

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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

* None
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Brigham and Women's Hospital

OTHER

Sponsor Role lead

Responsible Party

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Blackford Middleton, MD, MPH

Study Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Blackford Middleton, MD

Role: PRINCIPAL_INVESTIGATOR

Brigham and Women's Hospital

Locations

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Partners HealthCare - Information Systems, Wellesley Gateway

Wellesley, Massachusetts, United States

Site Status

Countries

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United States

References

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Middleton B. The clinical decision support consortium. Stud Health Technol Inform. 2009;150:26-30.

Reference Type BACKGROUND
PMID: 19745260 (View on PubMed)

Related Links

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http://www.partners.org/cird/cdsc

Clinical Decision Support Consortium Website

Other Identifiers

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HHSA290200810010

Identifier Type: -

Identifier Source: org_study_id