Orthopaedie-Techniker
GesundheitswesenKI-Exposition
- Datenquelle: BLSVeröffentlicht: 2026-08
Niedrig· relativ
NiedrigVier relative BänderSehr hochWert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Vier relative Bänder (Niedrig / Mittel / Hoch / Sehr hoch)
831 detaillierte Berufe in der BLS-Beschäftigungsprojektionstabelle. Der Wert wird je Code der National Employment Matrix (NEM) vergeben, daher erhalten Berufe mit demselben NEM-Code dasselbe Band
- Datenquelle: AnthropicVeröffentlicht: 2026-03
0.000
0.000Spannweite der hier geführten Werte0.745Skala, Bezugsmenge und Quelle
Index der beobachteten Exposition, 0–1 wie veröffentlicht
Auf O*NET-Aufgaben abgebildet
- Datenquelle: ILOVeröffentlicht: 2025
0.18
0.09Spannweite der hier geführten Werte0.70Wert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Index der Exposition gegenüber generativer KI, 0–1 wie veröffentlicht
ISCO-08-Berufsgattung — alle Berufe mit demselben Code erhalten diesen Wert
Von dieser Website berechnet, nicht von der IAO veröffentlicht: Von den 1.012 Berufen, die diese Website mit dem IAO-Datensatz verknüpft, erreichen oder übertreffen 90% diesen Wert.
Welche Art von Wert diese Quelle veröffentlicht
Die Kategorie von BLS ist ein relativer Rang und kein absolutes Niveau, und sie ist keine eigene Messung: Sie fasst die Perzentilränge des Berufs aus mehreren veröffentlichten Studien in vier Bänder zusammen. Sie ist weder eine Beschäftigungs- oder Lohnprognose noch eine Einführungswahrscheinlichkeit und unterscheidet nicht zwischen Automatisierung und Augmentierung.
Task-level exposure
Nur exponierte Aufgaben| Task | Claude.aiRaw / share % |
|---|---|
Read prescriptions or specifications to determine the type of product or device to be fabricated and the materials and tools that will be required.51-9082 | 0.0020100.0 |
| Not observed on any surface — 14 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Fit appliances onto patients and make any necessary adjustments. | —0 |
Make orthotic or prosthetic devices, using materials such as thermoplastic and thermosetting materials, metal alloys and leather, and hand or power tools. | —0 |
Repair, modify, or maintain medical supportive devices, such as artificial limbs, braces, or surgical supports, according to specifications. | —0 |
Instruct patients in use of prosthetic or orthotic devices. | —0 |
Take patients' body or limb measurements for use in device construction. | —0 |
Construct or receive casts or impressions of patients' torsos or limbs for use as cutting and fabrication patterns. | —0 |
Bend, form, and shape fabric or material to conform to prescribed contours of structural components. | —0 |
Drill and tap holes for rivets and glue, weld, bolt, or rivet parts together to form prosthetic or orthotic devices. | —0 |
Lay out and mark dimensions of parts, using templates and precision measuring instruments. | —0 |
Test medical supportive devices for proper alignment, movement, or biomechanical stability, using meters and alignment fixtures. | —0 |
Cover or pad metal or plastic structures or devices, using coverings such as rubber, leather, felt, plastic, or fiberglass. | —0 |
Polish artificial limbs, braces, or supports, using grinding and buffing wheels. | —0 |
Service or repair machinery used in the fabrication of appliances. | —0 |
Mix pigments to match patients' skin coloring, according to formulas, and apply mixtures to orthotic or prosthetic devices. | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Read prescriptions or specifications to determine the type of product or device to be fabricated and the materials and tools required.O*NET Task ID 10514 | 1.0 |
Take patients' body or limb measurements for use in device construction.O*NET Task ID 10517 | 0.5 |
Construct or receive casts or impressions of patients' torsos or limbs for use as cutting and fabrication patterns.O*NET Task ID 10518 | 0.5 |
Fit appliances onto patients, and make any necessary adjustments.O*NET Task ID 10512 | 0.0 |
Make orthotic or prosthetic devices, using materials such as thermoplastic and thermosetting materials, metal alloys and leather, and hand or power tools.O*NET Task ID 10513 | 0.0 |
Repair, modify, or maintain medical supportive devices, such as artificial limbs, braces, or surgical supports, according to specifications.O*NET Task ID 10515 | 0.0 |
Instruct patients in use of prosthetic or orthotic devices.O*NET Task ID 10516 | 0.0 |
Bend, form, and shape fabric or material to conform to prescribed contours of structural components.O*NET Task ID 10519 | 0.0 |
Drill and tap holes for rivets, and glue, weld, bolt, or rivet parts together to form prosthetic or orthotic devices.O*NET Task ID 10520 | 0.0 |
Lay out and mark dimensions of parts, using templates and precision measuring instruments.O*NET Task ID 10521 | 0.0 |
Test medical supportive devices for proper alignment, movement, or biomechanical stability, using meters and alignment fixtures.O*NET Task ID 10522 | 0.0 |
Cover or pad metal or plastic structures or devices, using coverings such as rubber, leather, felt, plastic, or fiberglass.O*NET Task ID 10523 | 0.0 |
Polish artificial limbs, braces, or supports, using grinding and buffing wheels.O*NET Task ID 10524 | 0.0 |
Service or repair machinery used in the fabrication of appliances.O*NET Task ID 10525 | 0.0 |
Mix pigments to match patients' skin coloring, according to formulas, and apply mixtures to orthotic or prosthetic devices.O*NET Task ID 10526 | 0.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page