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Browsing by Subject "computerized medical records systems"
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Item Pulling Back the Covers: Technical Lessons of a Real-World Health Information Exchange(2007) Zafar, Atif; Dixon, Brian E.Several nations and local communities are striving to achieve widespread, secure exchange of clinical data between various health care providers and public health organizations. Most of the literature on health information exchange focuses on the financial, political, and privacy aspects of these initiatives. Perhaps just as important are the technical and organizational factors that have influenced development of data exchange methods and results. One mature network in the Midwestern United States has had success in establishing consistent, secure exchange of clinical data for more than ten years. Presented here are the technical lessons learned and design decisions made from this initiative with the hope that they can be used by others striving to connect disparate clinical information systems for the improvement of health care quality and safety.Item A Vision for the Systematic Monitoring and Improvement of the Quality of Electronic Health Data(2013) Dixon, Brian E.; Rosenman, Marc; Xia, Yuni; Grannis, Shaun JIn parallel with the implementation of information and communications systems, health care organizations are beginning to amass large-scale repositories of clinical and administrative data. Many nations seek to leverage so-called Big Data repositories to support improvements in health outcomes, drug safety, health surveillance, and care delivery processes. An unsupported assumption is that electronic health care data are of sufficient quality to enable the varied use cases envisioned by health ministries. The reality is that many electronic health data sources are of suboptimal quality and unfit for particular uses. To more systematically define, characterize and improve electronic health data quality, we propose a novel framework for health data stewardship. The framework is adapted from prior data quality research outside of health, but it has been reshaped to apply a systems approach to data quality with an emphasis on health outcomes. The proposed framework is a beginning, not an end. We invite the biomedical informatics community to use and adapt the framework to improve health data quality and outcomes for populations in nations around the world.