TJC EC.02.04.01 audit pack. Generated automatically.
Every Struktive normalisation run produces a seven-tab TJC Environment of Care audit workbook — device register, maintenance schedule, life support register, and summary — with a SHA-256 tamper-evident hash. Survey-ready in minutes, not weeks.
Why registers fail TJC surveys
These are the four most common data quality findings that surveyors cite under EC.02.04.01.
Surveyors flag registers where the same OEM appears under multiple names (GE, GE Healthcare, GE Medical Systems). Struktive resolves 150+ OEM aliases automatically.
Registers with missing asset IDs or duplicate records fail EP 1. Struktive flags duplicates and missing identifiers in the exceptions report before the survey.
Location strings like 'ICU/Bay4' or 'Theatre 1 - Anaes Rm' fail the location hierarchy requirement. Struktive parses to campus → ward → bed-space.
Surveyors increasingly ask for evidence that the register has not been modified after the fact. Struktive applies a SHA-256 hash to every export.
How Struktive covers each element of performance
Every EP is addressed by a specific output in the Struktive audit pack.
The hospital maintains a written inventory of all medical equipment — or uses an alternative equipment maintenance (AEM) programme.
The hospital identifies equipment that poses the greatest risk of harm if it fails, including life-support equipment.
The hospital establishes maintenance activities and frequencies for all equipment in the inventory.
The hospital performs maintenance activities and documents completion.
The hospital documents completion of maintenance activities.
The hospital takes action when equipment fails, including removing it from service.
Seven-tab TJC EC.02.04.01 workbook
Every normalisation run generates this workbook automatically. No manual assembly required.
Run metadata: hospital name, site, operator, timestamp, SHA-256 tamper-evident hash, and record count.
Full normalised device list: asset ID, vendor (resolved), model, category, location (parsed hierarchy), criticality, and data quality score.
PM frequency by device category using ECRI interval guidelines. Life Support: 6-month. Imaging: 12-month. Surgical: 12-month.
Filtered view of all Life Support devices (ventilators, anaesthetic machines, defibrillators, infusion pumps) with criticality = Critical.
Filtered view of all Imaging devices (MRI, CT, X-ray, ultrasound) with FDA UDI cross-reference where available.
Filtered view of all Surgical devices (electrosurgical units, surgical tables, lights) with location parsed to OR suite level.
Device counts by category, data quality distribution, OEM aliases resolved, exceptions flagged, and overall quality score.
A SHA-256 hash of the full workbook contents is recorded on the Cover tab at generation time. If any cell is modified after export, the hash will not match — providing a defensible chain of custody for surveyors.
Survey in 6 weeks, not 12
| Phase | Manual approach | With Struktive |
|---|---|---|
| T − 12 weeks | Begin manual data collection from multiple CMMS exports and spreadsheets | Upload existing register to Struktive — normalisation begins immediately |
| T − 10 weeks | Deduplicate records manually across sites | Review exceptions report — duplicates and unresolvable aliases flagged automatically |
| T − 8 weeks | Resolve OEM naming inconsistencies (GE vs. GE Healthcare vs. GE Medical) | 150+ OEM aliases resolved in the normalisation run |
| T − 6 weeks | Classify devices by category for EC.02.04.01 reporting | GMDN-coded device classification applied automatically |
| T − 4 weeks | Build TJC checklist manually from normalised data | Seven-tab TJC EC.02.04.01 audit pack generated automatically |
| T − 2 weeks | Final review and sign-off | SHA-256 tamper-evident hash applied — register is audit-defensible |
| Survey day | Present manually compiled register — risk of surveyor questions on data quality | Present Struktive audit pack — quality scores and chain of custody documented |