Focused abstraction and validation services designed around your documentation, data definitions and delivery requirements.
Extraction of client-defined clinical information from medical records and related documentation. Potential data elements include demographics, diagnoses, medications, procedures, laboratory results, medical history and outcomes.
Protocol-driven abstraction from clinical research documentation, study records and other approved source materials. Work is aligned to the study data dictionary, inclusion rules and client review process.
Structured abstraction of oncology information such as diagnosis details, pathology findings, staging, treatment history and documented outcomes, based on the project protocol and qualified review requirements.
Human-led labeling and review of clinical text and structured data, including clinical entity identification, terminology mapping and validation of AI-assisted extraction outputs.
Source-to-output checks, discrepancy identification, missing-field review and documented quality reporting against agreed project rules.
Share your scope and we can discuss a suitable workflow.