TreatmentChartAuditor

Treatment Chart Auditor

activity brachytherapy dosimetry source calibration TG-43
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Treatment Chart Auditor — Treatment Chart Audit (AAPM TG-275)

ℹ️  The utility performs comprehensive check of patient's electronic or paper treatment chart before course start or during treatment.
ℹ️  Controlled parameters: presence of all mandatory signatures, prescribed vs plan dose match, date logic, fractionation progress.
ℹ️  Processing: only the FIRST record in input.csv file.
⚠️  Critical for safety! Errors in treatment chart (wrong dose, missing physicist signature) cause serious incidents.

Usage:
  TreatmentChartAuditor.exe                            → demo mode
  TreatmentChartAuditor.exe input.csv output.json      → audit data (first record only)

Input format:
PatientID,PlanName,PrescribedDoseGy,PlanDoseGy,TotalFractions,DeliveredFractions,StartDate,EndDate,PhysicianSigned,PhysicistSigned,TechnologistChecked,ConsentFormPresent

Example (boolean values True/False):
PT-2026-LUNG-05,Lung_SBRT_5fx,50.0,50.0,5,2,2026-04-01T09:00:00Z,2026-04-10T09:00:00Z,True,False,True,True

— WHY IS THIS NEEDED?
Before each course and weekly during treatment, chart round is performed.
• Missing physicist signature means plan is not verified.
• Mismatch between Prescription and Plan dose may indicate entry error.
• Dates must be logical (Start < End).
• Delivered fractions must not exceed planned.
• Automation eliminates "inattention blindness" risk when manually checking hundreds of charts.
⚠️ CRITICAL:
• Signatures: Physician, Physicist, Technologist — mandatory. Patient Consent — mandatory.
• Dose: Difference > 0.1 Gy unacceptable.
• Fractions: Delivered > Total — critical error (overdose).
• FAIL status blocks treatment until resolved.
Critical parameters:
• Signatures: All must be True
• Dose Match: Abs(Prescribed - Plan) <= 0.1 Gy
• Fractions: Delivered <= Total
• Dates: Start < End
⚠️ Note: Utility generates list of missing signatures and specifies rejection reason. Result includes status (PASS/WARNING/FAIL) and bilingual recommendation (RU/EN).

input.csv

PatientID,PlanName,PrescribedDoseGy,PlanDoseGy,TotalFractions,DeliveredFractions,StartDate,EndDate,PhysicianSigned,PhysicistSigned,TechnologistChecked,ConsentFormPresent
PT-2026-LUNG-05,Lung_SBRT_5fx,50.0,50.0,5,2,2026-04-01T09:00:00Z,2026-04-10T09:00:00Z,True,False,True,True

URS & FS — user requirements and functional specification

This document defines user requirements and functional specification for the quality-control utility. It supports deployment discussion, IQ/OQ preparation and QC workflow integration.

Utility: TreatmentChartAuditorAPI / object: Treatment Chart AuditorCategory: Radiation physics

1. Scope

The Treatment Chart Auditor utility is used for Treatment Chart Auditor. The actual input.csv is the source of truth for the input structure; control criteria are defined by the executable and the domain description.

The utility does not use machine learning; decisions are produced by deterministic rules.

Categories: Radiation physics

Tags: activity, brachytherapy, dosimetry, source calibration, TG-43

2. Execution modes

TreatmentChartAuditor.exe                            → demo mode
TreatmentChartAuditor.exe input.csv output.json      → audit data (first record only)

3. Key controlled areas

  • pH and physicochemical parameters
  • activity, decay and radiochemical purity

4. Domain limits and critical parameters

  • ⚠️ Critical for safety! Errors in treatment chart (wrong dose, missing physicist signature) cause serious incidents.
  • Dates must be logical (Start < End).
  • ⚠️ CRITICAL:
  • Signatures: Physician, Physicist, Technologist — mandatory. Patient Consent — mandatory.
  • Dose: Difference > 0.1 Gy unacceptable.
  • Fractions: Delivered > Total — critical error (overdose).
  • FAIL status blocks treatment until resolved.
  • Critical parameters:
  • Signatures: All must be True
  • Dose Match: Abs(Prescribed - Plan) <= 0.1 Gy
  • Fractions: Delivered <= Total
  • Dates: Start < End
  • ⚠️ Note: Utility generates list of missing signatures and specifies rejection reason. Result includes status (PASS/WARNING/FAIL) and bilingual recommendation (RU/EN).
Limits stated in the description must be verified against the current approved specification, pharmacopoeial monograph and registration dossier before production use.

5. URS — user requirements

IDRequirementCriticalityAcceptance criterion
URS-001The system shall accept an input.csv file for Treatment Chart Auditor with the exact columns listed in the “Input data contract” section.HighA file with the correct header is processed without manual editing; missing mandatory columns produce FAIL/import error.
URS-002The system shall support execution without arguments in demo mode and execution with input.csv output.json for user data.MediumBoth execution scenarios produce a predictable result or clear diagnostic error.
URS-003The system shall perform rule-based controls for: pH and physicochemical parameters, activity, decay and radiochemical purity.HighEach controlled parameter receives a status and message; the result does not depend on hidden Excel formulas or ML.
URS-004The system shall preserve traceability between batch/lot, source values, applied rules and final verdict.HighOutput includes batch identifier, source values, parameter statuses and critical findings.
URS-005The system shall generate machine-readable output.json for LIMS/ELN/MES, batch record and QA/QC review.HighJSON contains overall status, check array, warnings, failures and source-file reference.
URS-006The system shall support use in the client validation package: URS/FS, IQ/OQ preparation, installation and operational scenario checks.HighThe document, test scenarios and reproducible CSV/JSON flow are suitable for audit and internal approval.
URS-007The system shall clearly separate technical data errors from specification nonconformities.MediumSchema/type errors are not mixed with pharmacopoeial deviations and are reported separately.

6. input.csv data contract

The source of truth for the input schema is the actual input.csv header. Column names are technical identifiers and are not translated.

#ColumnTypeUnitDescriptionSampleControl rule
1PatientIDtextas specifiedPatient IDPT-2026-LUNG-05mandatory value; format and acceptability are checked by the utility
2PlanNametextas specifiedPlan NameLung_SBRT_5fxmandatory value; format and acceptability are checked by the utility
3PrescribedDoseGydecimalas specifiedPrescribed Dose Gy50.0mandatory numeric value; rule comparison is performed by the utility
4PlanDoseGydecimalas specifiedPlan Dose Gy50.0mandatory numeric value; rule comparison is performed by the utility
5TotalFractionsdecimalas specifiedTotal Fractions5mandatory numeric value; rule comparison is performed by the utility
6DeliveredFractionsdecimalas specifiedDelivered Fractions2mandatory numeric value; rule comparison is performed by the utility
7StartDatedate/timeas specifiedStart Date2026-04-01T09:00:00Zmandatory value; format and acceptability are checked by the utility
8EndDatedate/timeas specifiedEnd Date2026-04-10T09:00:00Zmandatory value; format and acceptability are checked by the utility
9PhysicianSigneddecimalas specifiedPhysician SignedTruemandatory value; format and acceptability are checked by the utility
10PhysicistSigneddecimalas specifiedPhysicist SignedFalsemandatory value; format and acceptability are checked by the utility
11TechnologistCheckedtextas specifiedTechnologist CheckedTruemandatory value; format and acceptability are checked by the utility
12ConsentFormPresenttextas specifiedConsent Form PresentTruemandatory value; format and acceptability are checked by the utility

CSV example

PatientID,PlanName,PrescribedDoseGy,PlanDoseGy,TotalFractions,DeliveredFractions,StartDate,EndDate,PhysicianSigned,PhysicistSigned,TechnologistChecked,ConsentFormPresent
PT-2026-LUNG-05,Lung_SBRT_5fx,50.0,50.0,5,2,2026-04-01T09:00:00Z,2026-04-10T09:00:00Z,True,False,True,True

7. FS — functional specification

IDFunctionImplementation description
FS-001CLI entry pointThe executable TreatmentChartAuditor.exe supports demo mode and input.csv output.json processing mode.
FS-002CSV parserThe import module reads CSV, validates header, column presence/order, value count and encoding. Decimal values are expected with a dot separator.
FS-003Field conversionEach column is converted to the expected type: identifier, text, decimal number, date/time or boolean flag.
FS-004Domain rule engineFor Treatment Chart Auditor, explicit rules are applied: range, minimum, maximum, absence of prohibited flag, data completeness or calculation-based check.
FS-005Criticality handlingCritical violations produce FAIL; non-critical deviations and incomplete data produce WARNING; full conformance produces PASS.
FS-006JSON writeroutput.json stores overall status, per-parameter results, source values, warnings, failures and diagnostic messages.
FS-007Integration contractThe CSV → JSON format is stable for invocation from LIMS/ELN/MES, scheduled task or wrapper service.
FS-008Error handlingSchema error, missing file, non-numeric value or JSON write failure returns diagnosable error without silent PASS.

8. output.json contract

The output file must be suitable for automated processing, audit review and correlation with the source input.csv row.

{
  "utility": "TreatmentChartAuditor",
  "api": "Treatment Chart Auditor",
  "batchNumber": "",
  "overallStatus": "PASS|WARNING|FAIL",
  "checkedAtUtc": "2026-05-18T00:00:00Z",
  "checks": [
    {
      "parameter": "PatientID",
      "value": "PT-2026-LUNG-05",
      "unit": "as specified",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "PlanName",
      "value": "Lung_SBRT_5fx",
      "unit": "as specified",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "PrescribedDoseGy",
      "value": "50.0",
      "unit": "as specified",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "PlanDoseGy",
      "value": "50.0",
      "unit": "as specified",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "TotalFractions",
      "value": "5",
      "unit": "as specified",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "DeliveredFractions",
      "value": "2",
      "unit": "as specified",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "StartDate",
      "value": "2026-04-01T09:00:00Z",
      "unit": "as specified",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "EndDate",
      "value": "2026-04-10T09:00:00Z",
      "unit": "as specified",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    }
  ],
  "criticalFindings": [],
  "sourceFile": "input.csv"
}

9. OQ/PQ test scenarios

IDScenarioExpected result
TC-001Valid CSV with expected header and sample rowAll rows are processed; output contains PASS/WARNING/FAIL and parameter-level detail.
TC-002A mandatory input.csv column is missingImport is rejected or the row receives FAIL with schema reference.
TC-003A numeric field contains text or a blank valueType conversion error is recorded; the result is not hidden as PASS.
TC-004A parameter is outside specification or critical limitCritical parameters produce FAIL; non-critical deviations produce WARNING according to the rule.

10. QA/QC, CSV and change control

  • Before production use, the client records executable version, checksum, specification/monograph version, test CSV, expected JSON and IQ/OQ results.
  • Column names must not be changed without updating the validator and test scenarios.
  • The source CSV, output.json and utility version should be stored together as an evidence package.
  • Any change in control rules must go through change control and repeated OQ scenario verification.

Included in packages

Radiation Physics QC Suite

Utilities for activity, dosimetry, brachytherapy sources, small-field corrections and TG-43 parameters.

Open

RPH organ/system: brain and CNS

Brain perfusion, dopamine transporter, amyloid/tau, receptor imaging and neurological SPECT/PET.

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RPH organ/system: hepatobiliary and GI

HIDA, mebrofenin, gallbladder, gastric emptying, GI transit, bleeding and liver/spleen imaging.

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RPH organ/system: pulmonary and ventilation

Lung perfusion, MAA, V/Q, aerosol, xenon ventilation, shunt and pulmonary dosimetry.

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RPH use case: PET scanner state, gamma camera and radiation physics

The linked medical-device/radiation-physics layer: PET detector QC, normalization, AC map, cross-calibration, TOF, gamma-camera uniformity, source strength and staff dose.

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RPH workflow: dosimetry and therapy planning

Activity planning, absorbed dose, organ dose, lung shunt, preplanning and therapy verification.

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RPH workflow: instruments, devices and radiation safety

PET/gamma-camera state, calibration, detector QC, energy window, TOF, shielding and radiation safety.

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