Applied Surveillance Teaching Artifact

Author: Rauf Shah, MS, PhD, MPH-Epidemiology (Expected Fall 2026)
Lead Health Data Coordinator Level II, University of Nebraska Medical Center | Department of Internal Medicine, Division of Hematology and Oncology

A structured breakdown for teaching core surveillance concepts and practice.


Modules 1–2: Definition & Purpose

One-liner aims + why it matters; anchors content.

Modules 1–2: Definition & Purpose
Topic Original Detail Instructional Detail
1. Definition Systematic cancer data tracking. Population-based registries; standard codes. Outputs: burden, stage, survival, and trends. Emphasize completeness and timeliness. Train on ICD-O-3 (site, morphology) and AJCC (TNM→stage group).
2. Purpose Define burden & distribution. Track trends & disparities. Support programs, policy, research. Use concrete disparity examples (late-stage share by race/rurality). Link to policy (targeted screening/navigation).

Module 3: Types of Surveillance

Menu of approaches; when/why to use each.

Module 3: Types of Surveillance
Type Original Detail (Pros/Cons) Instructional Detail (Practicalities)
3a. Passive Facilities/providers submit reportable cancers to the registry. Challenge: variable staff priorities/training. Mitigation: standardized forms + ongoing training.
3b. Active Registry staff proactively identify/verify cases (visits, queries). Action: on-site abstractors; deep EHR queries to complete fields and verify codes.
3c. Sentinel Selected sites provide high-quality, timely data. Use case: rare cancers or exposure-linked patterns where speed/depth matter most.
3d. Syndromic Early signals from ED, labs, pharmacy, EHR. Signals: chemo dispensing volume; lab markers (e.g., neutropenia) for early toxicity/patterns.
3e. Rapid Case Ascertainment (RCA) Pathology-driven rapid reporting. Workflow: e-path feeds + NLP filters to flag reportable cases within days.

Module 4: Case Definitions & Classification

What’s reportable, how to date, stage, and handle primaries.

Module 4: Case Definitions & Classification
Classification Element Original Detail Instructional Detail (Coding/Application)
4a. Reportable Cancers Site (Topography); Morphology (Histology). Use ICD-O-3: Topography (e.g., C50.9) and Morphology (e.g., 8000/3). Practice code look-ups.
4b. Status Suspected; Probable; Confirmed. Confirmed usually requires histology; Probable may rely on imaging/clinical data in research.
4c. Primary vs recurrent — Multiple primaries rules (new site/histology or temporally distinct). Critical for incidence accuracy.
4d. Diagnosis date rules — Use first definitive diagnosis (often pathology date) as anchor for incidence/survival.
4e. Stage AJCC TNM; SEER Summary Stage. TNM needs tumor size, nodes, mets; follow algorithm. SEER Summary Stage aggregates for population analysis.
4f. Key biomarkers Molecular; Genetic. Examples: ER/PR/HER2 (breast); KRAS/NRAS/BRAF (CRC). Abstract from molecular reports.

Module 5: Data Sources

Where data come from; how to standardize and link.

Module 5: Data Sources
Source Original Detail Instructional Detail (Practical Skill/System)
5a. Pathology AP, CP, Synoptic Reporting Templates. CAP synoptic reports structure required elements → better completeness/consistency.
5b. Tumor Registry Hospital-based; Population-based (SEER); NAACCR/CoC standards. NAACCR is the definitive standard (field definitions, formats) for SEER/NPCR submissions.
5c. EHR & Clinical Documentation Encounters, Radiology Reports, Oncology Notes. Radiology RECIST details help determine progression/recurrence.
5d. Laboratory Systems Hematology, Molecular, Biomarker Panels. Standardize via LOINC/terminology mapping; build interfaces for ingestion.
5e. Vital Records Death Certificates, Cause of Death. Mortality-only case finding; survival follow-up.
5f. Claims & Pharmacy Data Administrative claims; pharmacy dispensing. Validate treatments (CPT/HCPCS) or flag cases; rarely definitive for stage/diagnosis.
5g. Patient-Reported & Consent Data PROs; consent logs for research linkage. Adds quality-of-life/function context often absent in registry data.

Modules 6–7: Core Parameters & Evaluation Indicators

What you measure (burden) vs how good your data are (quality).

Modules 6–7: Core Parameters & Evaluation Indicators
Metric Type Original Detail Instructional Detail (Interpretation & Calculation)
6.a. Incidence Rate (per 100,000, age-adjusted). Use 2000 U.S. Standard Population; allows fair comparisons.
6.b. Mortality Rate — Cancer deaths ÷ population (per 100,000).
6.c. Stage at Diagnosis — Earlier (localized) stage share indicates screening impact.
6.d. Survival Metrics Overall; Relative Survival. Relative survival = observed ÷ expected survival (matched general population).
6.e. Reporting Lag — Diagnosis → case closure time; core timeliness measure.
6.f. Case Capture % — Target >95% in high-quality registries; validates completeness.
6.g. Missingness — Track missing stage/race-ethnicity; mitigates bias in disparity work.
6.h. Coding Accuracy — Re-abstraction agreement vs gold standard; aim ≥98% for core fields.
6.i. Deduplication Rate — High rates imply matching/casefinding inefficiency.
7.a. Timeliness — Measured via Reporting Lag.
7.b. Completeness — Measured via Case Capture % (validate with external sources).
7.c. Consistency/Validity Edit Checks. NAACCR Edits enforce site-morph/date/value logic.
7.d. Equity Metrics Race/Ethnicity completeness; Geographic variation. Address unknown race/ethnicity via linkage or careful imputation.

Module 8: Workflow

End-to-end steps; where QC and consent fit.

Module 8: Workflow
Workflow Step Original Detail Instructional Detail (Tool/Technique)
8a. Case Finding Identify; match/dedup. Deterministic keys (MRN, SSN) + probabilistic matching (name, DOB).
8b. Eligibility Screening Residency; date range; reportable site/morph. Apply jurisdiction rules; ensure in-scope period and reportable histologies.
8c. Approach & Consent Permissions; refusals. For research linkage; IRB-approved process; track opt-outs.
8d. Abstraction & Coding ICD-O-3; behavior; grade; stage; first-course treatment. First-course treatment = initial therapy window (e.g., ≤4 months) or until progression.
8e. Quality Checks Automated edits; re-abstraction audits. Target complex sites or lower-accuracy abstractors; route findings to training/system fixes.
8f. Publish & Visualize Indicators; dashboards. Tools: Tableau, R Shiny, or registry platform read-only dashboards.
8g. Monitor & Improve Feedback; periodic reviews. Regular data quality reports to facilities; track corrective actions.

Module 9: Data Quality Framework

Dimensions, checks, and audits to build trust.

Module 9: Data Quality Framework
Topic Original Detail Instructional Detail (Context & Importance)
9a. Goal — Fitness-for-use (incidence, policy); builds trust.
9b. Dimensions Completeness; Accuracy; Timeliness; Consistency; Uniqueness. Consistency example: treatment date cannot precede diagnosis date.
9c. Checks Not-null; Controlled vocabularies; Code edits; Cross-record concordance. Use SNOMED CT/LOINC to harmonize across systems where applicable.
9d. Audits Re-abstraction; Discrepancy review; Corrective action. Implement targeted training or system fixes from root-cause analysis.

Modules 10–12: Security, Policy & Public Reporting

Privacy, legal authority, and safe public outputs.

Modules 10–12: Security, Policy & Public Reporting
Topic Original Detail Instructional Detail (Context & Application)
10. Security Minimum necessary; RBAC; audit logs; secure transport/storage. Use encrypted channels (VPN, SFTP) for identified data transfers.
11. Policy & Compliance HIPAA; State laws; DUAs; IRB; De-identification. Cancer is mandatorily reportable; state public-health authority enables reporting despite some HIPAA limits.
11.a. DUAs — Legally binding terms for use/protection/destruction of non-public data.
12. Public Reporting Aggregates; small-cell suppression. Suppress subgroup cells below thresholds (e.g., <5 or <10) to prevent re-identification.

Module 13: Tools & Standards

Coding specs, interoperability, and core analytic methods.

Module 13: Tools & Standards
Standard/Tool Original Detail Instructional Detail (Use Case)
13a. Coding & Data Structure ICD-O-3; AJCC; NAACCR; SEER Edits. NAACCR Volume II = definitive data dictionary/spec for submissions—teach where/how to look up a field.
13b. Systems & Interoperability Registry platforms (SEER*DMS); EHR; HL7/FHIR. FHIR supports granular, secure exchange of Condition/Observation elements.
13c. Analytics & Methods Age-standardization; Joinpoint; Survival (KM, Relative). Joinpoint identifies significant trend changes (inflection points) in rates.

Module 14: Deliverables & Micro-Checks

What learners submit; quick ways to verify understanding.

Module 14: Deliverables & Micro-Checks
Deliverable Format Linked Micro-Check
14a. Objective 1 sentence (population/time). MCQ: choose correct outcome/measure for a prompt.
14b. Workflow 6–8 nodes + QC touchpoint. Mark where QC/edit checks occur.
14c. Mini-table Source → Field → QC → Safeguard (≥3 rows). Pick best source for field X.
14d. Privacy list ≥2 safeguards. Identify fields to remove for de-ID in a scenario.

Teaching Packet (PDFs)


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Synchronous Distance Public Health Teaching/Training Project

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Course Outline & Plan (Synchronous Assessment)


Asynchronous Online Session: Public Health Teaching/Training Project

Asynchronous sessions are self-paced learning modules that learners complete on their own time. In public health teaching/training, these pair short content (slides/video/handouts) with applied checks and reflection prompts so participants can pause, practice, and revisit concepts without losing continuity.

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Notes

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