ODS-C study plan

Map every data item in the abstracting workflow to its source document, identifying which items come from the pathology report, which from the medical record, and which from the treating physician

Define casefinding criteria for reportable neoplasms and distinguish reportable from non-reportable diagnoses using benign, borderline, and in-situ examples

Practice extracting patient demographics, facility identifiers, and accession numbers from a sample abstracting packet without errors

Build a personal checklist for first-course versus subsequent-course documentation timing

Abstract primary site, histology, and behavior codes from pathology reports and reconcile conflicting reports using registry coding priority rules

Apply multiple-primary and histology-grouping rules to ambiguous case scenarios and justify each decision

Code treatment fields for surgery, radiation, systemic therapy, and immunotherapy from operative and oncology notes

Identify and correct common abstraction errors in a set of deliberately flawed sample abstracts

Differentiate staging systems by purpose and describe when each is collected and reported

Assign T, N, M, stage group, and prognostic factors for solid tumors across several anatomic sites using provided clinical scenarios

Distinguish clinical from pathologic staging documentation and record the staging basis correctly

Explain the role of biomarkers and molecular markers in classification and staging for selected sites

Sequence first-course treatment modalities in the correct order and record treatment dates accurately

Interpret operative reports to distinguish definitive resection from biopsy and to capture surgical approach codes

Describe how radiation therapy fields, doses, and intent are documented and translated into registry fields

Summarize how systemic therapy regimens and clinical trial participation are recorded

Locate and apply the standards governing data quality, timeliness, and completeness to a mock facility audit

Define each data quality metric, calculate it from a provided case sample, and interpret whether the result meets a target threshold

Outline the components of a compliance plan covering confidentiality, access control, and audit trails

Describe the process for case reabstracting and reconciliation when quality review finds discrepancies

Trace how registry data flow from case abstraction to central reporting and identify where validation edits occur

Interpret edit-check and validation failure messages and resolve representative errors

Apply confidentiality and data-release rules to hypothetical requests for registry data

Describe how follow-up activities and linkage to vital records support data completeness

Calculate and interpret incidence, prevalence, age-adjusted rates, and survival statistics from a provided dataset

Select appropriate denominators and explain how population data affect rate calculations

Design a simple comparative analysis and identify confounding and bias risks in registry-based studies

Produce a table and figure appropriate for a public health report from the same dataset

Complete a full-length timed practice assessment and score performance by domain

Reabstract the weakest-performing case types until field-level accuracy improves

Consolidate error patterns into a one-page personal rule sheet for high-risk fields

Verify readiness by reviewing every domain's key standards and metrics one final time