Data Quality Validation
Processes and systems that ensure healthcare data is accurate, complete, and consistent.
Data quality validation involves processes and systems that ensure healthcare data is accurate, complete, consistent, and reliable. This includes validating medication names, dosages, patient information, and clinical data. High-quality data is essential for effective clinical decision support, medication safety checks, and patient care. Data validation systems check for errors, inconsistencies, and missing information, ensuring that healthcare systems operate with reliable data.
Keywords
Every Medication Workflow. Connected.
Formidable develops the systems that let healthcare organizations prescribe, sign, harmonize, and dispense — digitally and compliantly. From electronic prescriptions to FHIR interoperability, we turn complex workflows into production-ready software.