QUALITY HEALTHCARE DEPENDS on the availability of quality data. Poor documentation, inaccurate data, and insufficient communication can result in errors and adverse incidents.1 Inaccurate data threatens patient safety and can lead to increased costs, inefficiencies, and poor financial performance. Further, inaccurate or insufficient data also inhibits health information exchange (HIE), and hinders clinical research, performance improvement, and quality measurement initiatives. The impact of poor data on care is only increased by the implementation of ICD-10-CM/PCS, the "meaningful use" EHR Incentive Program initiatives, and the introduction of payment reform models such as accountable care organizations (ACOs)—all of which emphasize the need for more specific and meaningful data collection, sharing, and reporting.
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