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The California Clinical Data Project is a statewide initiative to remove barriers to the widespread and effective use of information technology to improve chronic disease care. The project is a case study in the development and widespread adoption of clinical data standards by varied and often competing stakeholders. As an initial step, the project defined precise data standards for the batch reporting of pharmacy claims data and laboratory results data. These uniform standards facilitate the flow of existing electronic clinical information into disease registries and electronic health record systems. Pharmacy and lab results data now are being exchanged electronically with this standard among the largest health plans, medical groups, and clinical laboratories participating in California's pay-for-performance programs. Lessons from this project may apply to the development and adoption of data standards for other states and locales and for the emerging national health information infrastructure.

作者:Walter, Sujansky;Sophia, Chang

来源:Journal of healthcare information management : JHIM 2006 年 20卷 3期

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作者:
Walter, Sujansky;Sophia, Chang
来源:
Journal of healthcare information management : JHIM 2006 年 20卷 3期
The California Clinical Data Project is a statewide initiative to remove barriers to the widespread and effective use of information technology to improve chronic disease care. The project is a case study in the development and widespread adoption of clinical data standards by varied and often competing stakeholders. As an initial step, the project defined precise data standards for the batch reporting of pharmacy claims data and laboratory results data. These uniform standards facilitate the flow of existing electronic clinical information into disease registries and electronic health record systems. Pharmacy and lab results data now are being exchanged electronically with this standard among the largest health plans, medical groups, and clinical laboratories participating in California's pay-for-performance programs. Lessons from this project may apply to the development and adoption of data standards for other states and locales and for the emerging national health information infrastructure.