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Data quality impacts everything from patient safety to compliance, and even reimbursement. Yet, despite its importance, many organizations have no real plan for addressing data quality on an ongoing basis. That’s why troubles so easily arise during a migration. When an organization is migrating from one EHR to another – or extending its EHR to […]
As health systems continue to add physician practices at rapid rates, ensuring provider data are accessible and accurate is becoming increasingly vital – not just to enable care for existing patients, but also to ensure coverage for those who aren’t, according to our panelists.
As health systems continue to gather large amounts of data, the challenge becomes finding a standardized way to refine data into valuable information, said our panelists during a recent panel discussion. “We need to get to the point where people are using the insights we’re providing to manage their business or operations.”
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.
