AI impact · verified capabilities
How AI is changing the work of Home Health Aides
Our reviewed registry links 6 verified AI capabilities to tasks that are part of this occupation. This shows where AI tools can already assist with specific tasks. It is not a forecast that the occupation will disappear, and it does not measure how widely any tool is used.
Last reviewed: 2026-09-27 · O*NET 31-1121.00 · Mapping confidence: medium
Task areas where verified capabilities connect
- Patient care
- Clinical documentation
- Hospitality service
- Training and learning
- Diagnostics and imaging
Verified capabilities (up to 5)
- EmergingEvidence: Strong
Real-time voice agents
What AI can assist with: Holds spoken conversations in real time for defined service or sales flows.
Practical meaning: this can execute a bounded workflow, but ownership, controls and edge cases remain with people.
Human responsibility: you set permissions and approval points and stay accountable for outcomes.
Source: Microsoft - EmergingEvidence: Strong
Clinical record summaries
What AI can assist with: Extracts patient information and summarizes records over time.
Practical meaning: this can speed up part of the task, but still needs human direction and review.
Human responsibility: you review every output and keep the final decision.
Source: AWS - EmergingEvidence: Strong
Medical coding assistance
What AI can assist with: Uses clinical language processing to suggest codes and abstract records.
Practical meaning: this can speed up part of the task, but still needs human direction and review.
Human responsibility: you review every output and keep the final decision.
Source: AWS - NowEvidence: Strong
Machine-learning sepsis risk flagging
What AI can assist with: Clinical models continuously or periodically analyze patient data to flag elevated sepsis risk for healthcare-provider assessment.
Practical meaning: this can speed up part of the task, but still needs human direction and review.
Human responsibility: you review every output and keep the final decision.
Source: U.S. Food and Drug Administration - NowEvidence: Strong
AI-assisted radiology worklist prioritization
What AI can assist with: Imaging AI flags studies with suspected findings so selected exams can be prioritized for radiologist review within a defined diagnostic pathway.
Practical meaning: this can speed up part of the task, but still needs human direction and review.
Human responsibility: you review every output and keep the final decision.
Source: Nature Medicine
The AI tools entering the profession — and what’s coming next
Some are already available for work; others signal where the profession is heading. Inclusion does not imply broad adoption or proven outcomes.
CarePredict Tempo Senior Care Monitoring
Available nowCarePredict
AI-powered wearable activity and behavior monitoring learns a senior's routines and alerts authorized caregivers about deviations in movement, eating, rest and activities.
Important: Only for consented senior-living or home-care deployments. Alerts are not diagnoses; staff must evaluate the patient directly and follow emergency and privacy procedures.
Source: CarePredictSafelyYou Safety AI Fall Detection
Available nowSafelyYou
AI-supported video sensing in assisted-living and memory-care facilities detects possible falls, alerts caregivers and provides limited contextual video for licensed clinical follow-up.
Important: Facility-installed cameras in approved spaces, with consent, privacy safeguards and response protocols. Fall detection is not a medical assessment and cannot replace in-person emergency response.
Source: SafelyYou
What remains human responsibility
Evidence shows a capability exists; it does not prove adoption in every workplace or full-task replacement.
Evidence limits
Each capability is verified from the cited source only. A source shows that a capability exists; it does not establish adoption, deployment depth or outcomes in any particular workplace.
Sources
- Microsoft — Transparency note for real-time voice agents in Dynamics 365 Contact Center
- Microsoft — Computer-using agents, workflows, and real-time voice
- Google Cloud — Gemini Live API on Vertex AI
- AWS — Generative AI and NLP for healthcare and life sciences
- U.S. Food and Drug Administration — 510(k) Premarket Notification: Bayesian Health Sepsis Flagging Device
- npj Digital Medicine — An artificial intelligence-powered learning health system to improve sepsis detection and quality of care: a before-and-after study
- Internal and Emergency Medicine — Real-time machine learning-assisted sepsis alert enhances the timeliness of antibiotic administration and diagnostic accuracy in emergency department patients with sepsis: a cluster-randomized trial
- Nature Medicine — AI-based chest X-ray prioritization in the lung cancer diagnostic pathway: the LungIMPACT randomized controlled trial
- U.S. Food and Drug Administration — Artificial Intelligence-Enabled Medical Devices
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