In a recent HIMSS survey, 59% of hospital leadership staff said that they have lost potential reimbursements over the last year due to poor data quality, and 47% reported inaccuracies in their quality reporting due to poor-quality data.
As patient data travels through different EHRs and health information systems, important information like lab results and diagnostic codes can be lost.
A dirty data lake can drain clinical and administrative resources, but a normalization solution with a robust layer of granular clinical terminology, mapped to standard codes, can help increase data quality and maximize reimbursement potential.
Learn how IMO’s normalization solutions can help:
- Find and standardize missing primary or secondary codes in a patient’s clinical record
- Identify the right patients to include in cohorts for population health initiatives
- Clean the data needed to report the quality of healthcare services delivered
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