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Automating clinical practice guidelines: a corporate-academic partnership
R C Friedberg1, S A Moser, P W Jamieson
1Department of Pathology, University of Alabama at Birmingham, USA.
Implementing clinical guidelines can significantly improve healthcare quality and reduce costs. This research develops methods and infrastructure for widespread guideline adoption, aiming for substantial savings and better patient care.
Area of Science:
- Health Services Research
- Medical Informatics
- Health Policy
Background:
- Clinical guidelines offer significant opportunities for healthcare quality improvement, utilization review, and cost control.
- Widespread guideline implementation could yield substantial annual savings and enhance patient care.
- Infrastructural barriers currently hinder the effective progress of guideline implementation.
Purpose of the Study:
- To develop methods for creating operational guidelines.
- To establish a computer-based architecture for clinical guideline implementation.
- To create methods for guideline packaging, distribution, testing, and data normalization.
Main Methods:
- Collaboration between academic institutions (University of Alabama at Birmingham, Columbia-Presbyterian Medical Center) and industry (Cerner Corporation).
- Research funded by the National Institute of Standards and Technology (NIST) under the Advanced Technology Program (ATP) for 'Information Infrastructure for Healthcare'.
- Focus on laboratory medicine-based guidelines to develop and test implementation methods.
Main Results:
- Development of methods for guideline creation and operationalization.
- Design of a computer-based architecture for implementing guidelines in clinical settings.
- Establishment of frameworks for packaging, distributing, testing, and normalizing data for guidelines.
Conclusions:
- The developed methods and architecture address key barriers to guideline implementation.
- Laboratory medicine guidelines serve as a model for broader application of these tools.
- Successful implementation can lead to significant improvements in healthcare quality and cost-efficiency.
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