Health Technologists and Technicians, All Other

Healthcare Practitioners and Technical Occupations · Job Skills & Competencies · SOC 29-2099 · 23 skills

Occupation context

These O*NET tasks describe the occupation. They provide context for this SOC mapping, but do not mean every listed Skill performs every task.

Indicate artifacts or interferences derived from sources outside of the brain, such as poor electrode contact or patient movement, on electroneurodiagnostic recordings.
Monitor patients during tests or surgeries, using electroencephalographs (EEG), evoked potential (EP) instruments, or video recording equipment.
Conduct tests or studies such as electroencephalography (EEG), polysomnography (PSG), nerve conduction studies (NCS), electromyography (EMG), and intraoperative monitoring (IOM).

O*NET task statements are shown in their source language (English). Task data excerpted from the O*NET® 29.1 Database (USDOL/ETA) and used under CC BY 4.0.

Representative sources

A bounded sample of popular skills mapped to this occupation, with at most one Skill from each GitHub repository. The complete mapped list follows.

infometa/workbuddyskills

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.

neurodiagnostic-technologist

wonsukchoi/domain-experts

Use when a task needs the judgment of a neurodiagnostic technologist — running or troubleshooting a routine or ambulatory EEG, distinguishing artifact from a real epileptiform or ictal pattern, recognizing nonconvulsive status epilepticus on continuous ICU monitoring, or making a real-time alarm-criteria call during intraoperative neuromonitoring (SSEP/MEP/EMG).

neuroskill-data-reference

NeuroSkill-com/skills

NeuroSkill EEG data reference — all metric fields including band powers, EEG ratios and indices, core scores, complexity measures, PPG/HRV fields, motion and artifact markers, sleep stage codes, headache/migraine correlate indices, and consciousness metrics. Use when looking up what a specific metric means or its value range.

bestagentkits/agency-skills

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.

All mapped skills

Browse the complete catalog mapping by repository popularity or latest source activity.

Skill names and descriptions remain in the language supplied by their source repository.

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infometa/workbuddyskills

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.

neurodiagnostic-technologist

wonsukchoi/domain-experts

Use when a task needs the judgment of a neurodiagnostic technologist — running or troubleshooting a routine or ambulatory EEG, distinguishing artifact from a real epileptiform or ictal pattern, recognizing nonconvulsive status epilepticus on continuous ICU monitoring, or making a real-time alarm-criteria call during intraoperative neuromonitoring (SSEP/MEP/EMG).

ophthalmic-medical-technologist

wonsukchoi/domain-experts

Use when a task needs the judgment of an Ophthalmic Medical Technologist — running fluorescein or indocyanine green angiography and screening a dye-reaction risk, verifying axial length or biometry technique before an IOL calculation goes to the surgeon, checking whether an OCT or visual field result is reliable enough to file as a data point, or assisting in and documenting a minor ophthalmic surgical or laser procedure.

patient-representative

wonsukchoi/domain-experts

Use when a task needs the judgment of a Patient Representative — triaging a patient complaint into complaint vs. grievance, running a service-recovery conversation after a bad experience, routing a billing dispute against a Good Faith Estimate, or verifying who is authorized to receive a patient's information.

neuroskill-data-reference

NeuroSkill-com/skills

NeuroSkill EEG data reference — all metric fields including band powers, EEG ratios and indices, core scores, complexity measures, PPG/HRV fields, motion and artifact markers, sleep stage codes, headache/migraine correlate indices, and consciousness metrics. Use when looking up what a specific metric means or its value range.

bestagentkits/agency-skills

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.

especialista-em-seguranca-do-paciente

euwebertdefreitas/ai-skills-for-claude-code

Especialista em Segurança do Paciente. Use para prevenção de riscos, metas internacionais, protocolos, notificação de eventos e cultura de segurança. Palavras-chave: segurança do paciente, evento adverso, near miss, protocolos, metas internacionais, cultura de segurança, NSP.

bandroutenet-eeg-artifact-removal

hiyenwong/ai_collection

Adaptive frequency-aware neural network for EEG artifact removal using band-specific processing and routing mechanisms. Activation triggers: EEG denoising, artifact removal, BandRouteNet, EOG removal, EMG removal.

eeg-tes-consciousness-measurement

hiyenwong/ai_collection

Deep learning framework for objective consciousness level measurement using multi-dimensional transcranial electrical stimulation (TES) with EEG. Combines TES-evoked brain responses with CNN classification for bedside-awareness assessment. Activation triggers: eeg tes, consciousness measurement, transcranial stimulation, brain state classification, awareness assessment, disorder of consciousness.

interpretable-eeg-biomarkers-parkinsons

hiyenwong/ai_collection

Interpretable EEG biomarkers for Parkinson's disease detection using interpretable electrophysiological features of resting-state EEG. Captures cortical neural dynamics alterations for reliable non-invasive diagnosis and monitoring. Activation: EEG biomarker Parkinson's, interpretable EEG features, resting-state EEG, cortical neural dynamics, PD diagnosis.

jswortz/my-skills

Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.

Lord1Egypt/ai-skillforge

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.