Job Description:
Data Abstraction
Review, interpret and abstract clinical patient data from electronic health record (EHR) systems, paper
charts, medical charts, laboratory reports, physician notes and other source documents, in accordance
with defined project or research protocols, clinical, data and technical specifications, and dictionaries.
Accurately capture patient demographics, diagnoses, procedures, medications, laboratory results,
outcomes and other required clinical variables.
Apply standardized data abstraction guidelines and project-specific inclusion/exclusion criteria.
Coding and Classification
Apply knowledge of medical coding systems (e.g., ICD-10, ICD-10-CM, SNOMED CT, MedDRA, CPT,
HCPCS) and standard-of-care guidelines to interpret, classify and categorize clinical data points from
unstructured text into standardized, machine-readable data within one common database schema.
Perform data mapping, standardization and harmonization as required by the project.
Electronic Data Capture and Data Management
Use specialized data management software (e.g., REDCap, registries, custom-built EDC systems and
other clinical databases) to enter,



track and maintain the integrity of clinical data in query able
databases.
Apply and support program-specific clinical data management best practices (CGDMP) and positive clinical
practice (GCP) so that data is accurate, legible, contemporaneous, original, attributable, complete and
consistent across end-to-end ETL workflows.
Quality Assurance and Control
Perform data validation and quality checks to identify missing, inconsistent or inaccurate information.
Apply industry-standard best practices for the use of real-world data in research, quality monitoring and
regulatory reporting, using technical and analytical software.
Participate in training, audits and periodic quality-assurance activities.
Protocol Adherence and Compliance
Maintain strict adherence to all project and research protocols, institutional review board (IRB)
requirements, HIPAA and applicable data privacy regulations, data management best practices (e.g.,
DAMA, SCDM, ACRP and SOCRA) and organizational policies on patient privacy and data security.

📌 Clinical Data Abstractor Panvel
🏢 Acme Services Private
📍 Panvel