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The quality of clinical data isn’t where it should be, due to inconsistencies in data capture and a lack of standardization, said our panelists. During a recent webinar, they discussed the key factors in determining data quality, and shared strategies for ensuring data are more consistent and accurate.
Between the “primitive design” plaguing many EHRs and the high potential for error with patient-entered data, ensuring data quality has become a mountain for healthcare leaders. But with the right approach, there are ways to improve it, according to our speakers.
