Psychiatric Aides

31-1133.00
Median wage $44,910/yr35,520 employed (US)Rank #889 of 923 scored · top 96% by substitution

Assist mentally impaired or emotionally disturbed patients, working under direction of nursing and medical staff. May assist with daily living activities, lead patients in educational and recreational activities, or accompany patients to and from examinations and treatments. May restrain violent patients. Includes psychiatric orderlies.

Sub-scores

0–100 · band = confidence interval from rater disagreement

Substitution9
Exposure8
Augmentation26

Substitution — the headline: capability discounted by cost, barriers and adoption.

Exposure — technical capability alone, regardless of whether anyone deploys it.

Augmentation — how much AI assists without replacing. High here + moderate substitution = a changing job, not a disappearing one.

Tasks on the substitution scale

17 rated tasks, binned by substitution score.

Position among all scored occupations

Distribution of 923 occupation scores; the marker is this occupation.

Tasks with substitution ≥ 70

0%

Run 1.0.0-draft.1 · computed 2026-08-05 · rater panel: claude-sonnet-5, claude-haiku-4-5-20251001 · intervals span rater disagreement.

Why this score

The five weighted dimensions of the composite, averaged across this occupation's tasks (importance-weighted, panel mean). Exact weights and formulas: /api/v1/methodology.

Task automatabilityw 35%9

panel mean rating 1.3/5 → substitution pressure 9/100

Technical feasibility todayw 20%6

panel mean rating 1.3/5 → substitution pressure 6/100

Cost vs. human wagew 15%7

panel mean rating 1.3/5 → substitution pressure 7/100

Adoption barriersw 20%inverted — strong barriers lower the score17

panel mean rating 4.3/5 (barrier strength) → substitution pressure 17/100

Sector adoption velocityw 10%5

panel mean rating 1.2/5 → substitution pressure 5/100

Task breakdown (17 tasks)

Substitution pressure per task, weighted by O*NET importance in the composite. Expand a task for the full rater audit trail — every rating, every model, every rationale.

Complete administrative tasks, such as entering orders into computer, answering telephone calls, or maintaining medical or facility information.

66

CI 60–72 · exposure 70 · augmentation 63 · importance 4.1/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510013/5Healthcare is moderately digitized and has begun adopting AI for scheduling and data entry, but adoption is held back by regulatory caution, legacy EHR integration challenges, and institutional conservatism. Pilots are common but production-scale AI call answering and full administrative automation remain spotty.
Sector adoption velocityclaude-sonnet-52/5Healthcare administrative functions are adopting AI unevenly; psychiatric and residential care facilities tend to be slower adopters than larger hospital systems due to smaller budgets and less digitization.
Augmentation potentialclaude-haiku-4-5-202510013/5AI can assist psychiatric aides by auto-populating forms, transcribing notes, and filtering routine calls, measurably raising their efficiency on record-keeping. However, the core task is largely clerical rather than complex judgment-based, so augmentation upside is moderate.
Augmentation potentialclaude-sonnet-54/5AI tools can meaningfully speed up documentation, order entry, and call triage, letting aides focus more on direct patient care while the system handles routine administrative burden.
Task automatabilityclaude-haiku-4-5-202510014/5Entering structured orders into computers and maintaining medical records are highly automatable with current AI systems; telephone call answering can be handled by chatbots. However, the clinical context and need for judgment on some calls prevents a full 5, as not all call types are suitable for automation at equal quality.
Task automatabilityclaude-sonnet-54/5Order entry, phone answering, and information maintenance are structured administrative tasks that current AI (voice agents, EHR integrations, data entry automation) can handle with substantial time savings, though some human oversight remains needed for accuracy and context in a psychiatric care setting.
Adoption barriersclaude-haiku-4-5-202510013/5Healthcare organizations face regulatory compliance requirements (HIPAA, patient privacy), internal oversight protocols, and some staff resistance to automation of patient-facing elements. These create friction but not absolute legal barriers—most administrative tasks can be automated with appropriate safeguards.
Adoption barriersclaude-sonnet-52/5No licensure is required for these administrative subtasks, but healthcare privacy regulations (HIPAA) and facility policies create moderate friction around handling patient information and telephone triage.
Cost vs. human wageclaude-haiku-4-5-202510014/5AI systems for call answering, data entry, and record-keeping are substantially cheaper per transaction than hiring psychiatric aides for these routine administrative tasks, likely 5–10× cheaper in pure operational cost.
Cost vs. human wageclaude-sonnet-54/5Automated data entry and call-handling systems are considerably cheaper per transaction than paying a psychiatric aide's loaded wage for routine administrative work, though integration and oversight costs reduce the savings somewhat.
Technical feasibility todayclaude-haiku-4-5-202510014/5Deployed products reliably handle data entry, call routing, and basic record maintenance in healthcare settings today. Some margin below 5 because complex or ambiguous calls still require human handoff, and integration into existing EHR systems varies.
Technical feasibility todayclaude-sonnet-53/5Products like AI phone agents, EHR autofill tools, and scheduling assistants exist and are deployed in healthcare settings, but psychiatric facility-specific integrations are less mature and often require human backup for sensitive calls.

Record and maintain patient information, such as vital signs, eating habits, behavior, progress notes, treatments, or discharge plans.

28

CI 25–30 · exposure 25 · augmentation 50 · importance 4.3/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510012/5Healthcare organizations have adopted EHR systems and some voice-to-text tools, but psychiatric facilities tend to adopt at slower rates than tech-forward sectors, and adoption of autonomous recording remains limited due to clinical and liability concerns.
Sector adoption velocityclaude-sonnet-52/5Healthcare support occupations, especially psychiatric/behavioral health aide roles, show slow AI adoption due to hands-on care requirements and lagging digitization in these settings.
Augmentation potentialclaude-haiku-4-5-202510013/5Voice-to-text, structured data prompts, and template-based note suggestions can meaningfully assist psychiatric aides in documentation efficiency, reducing time spent on formatting while the aide retains responsibility for observation accuracy and clinical judgment.
Augmentation potentialclaude-sonnet-53/5AI scribe and note-summarization tools can meaningfully speed up documentation of observations and progress notes once data is verbally or manually captured by the aide.
Task automatabilityclaude-haiku-4-5-202510012/5While AI can assist with data entry and formatting of structured vital signs or notes, the task requires reliable observation of patient behavior, judgment about what constitutes clinically relevant information, and integration with complex medical contexts. Current AI systems cannot independently gather accurate observational data or guarantee the clinical correctness needed for medical records.
Task automatabilityclaude-sonnet-52/5AI can assist with transcription and drafting notes from structured inputs, but recording vital signs and observing patient behavior requires physical presence and human judgment that current AI cannot perform end-to-end.
Adoption barriersclaude-haiku-4-5-202510014/5Medical record documentation is legally mandated and requires accountability; errors in patient records create significant liability. Psychiatric aides' observations directly inform clinical decisions, and both organizational policy and regulatory standards (HIPAA, state mental health regulations) typically require a licensed or designated human to verify and sign off on patient information.
Adoption barriersclaude-sonnet-53/5No licensing requirement blocks AI-assisted note-taking, but clinical documentation accuracy, patient privacy (HIPAA), and facility protocols create moderate friction against full automation.
Cost vs. human wageclaude-haiku-4-5-202510012/5EHR integration and transcription tools exist but still require significant human oversight to ensure clinical accuracy and completeness. The cost of implementing, maintaining, and validating AI-assisted recording often approaches or exceeds the wage cost of a psychiatric aide performing the task directly.
Cost vs. human wageclaude-sonnet-52/5AI documentation tools add licensing and integration costs while the physical observation and vitals-taking still require a human worker, so net savings are modest relative to the aide's wage.
Technical feasibility todayclaude-haiku-4-5-202510012/5Electronic health record (EHR) systems exist and automate some data entry, but they require human observation and input of behavioral/clinical details. No deployed product reliably captures the nuanced observational requirements (behavior patterns, eating habits, treatment responses) without human psychiatric aide review and validation.
Technical feasibility todayclaude-sonnet-52/5Ambient documentation tools exist in some clinical settings, but deployment in psychiatric aide contexts (behavioral observation, vitals capture) is limited and not demonstrated at scale.

Interview patients upon admission and record information.

24

CI 23–25 · exposure 25 · augmentation 50 · importance 4.0/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Healthcare, particularly psychiatric care, is highly regulated and risk-averse. Admission interviews directly impact liability and patient safety classification, so adoption of autonomous AI systems remains minimal and confined to narrow documentation assistance, not replacement.
Sector adoption velocityclaude-sonnet-52/5Behavioral health and inpatient psychiatric settings are generally slower adopters of AI compared to outpatient administrative or finance-heavy sectors, with pilots limited mostly to documentation support.
Augmentation potentialclaude-haiku-4-5-202510013/5AI can assist by transcribing speech, suggesting data entry fields, flagging potential risk keywords, and drafting preliminary notes, thereby reducing clerical burden. However, the core clinical judgment and rapport-building tasks remain with the human aide or clinician, and augmentation is limited to back-office functions.
Augmentation potentialclaude-sonnet-53/5AI scribes and structured-summary tools can meaningfully speed up recording and organizing intake information, letting aides focus more on the interpersonal interview itself.
Task automatabilityclaude-haiku-4-5-202510012/5AI can help draft or partially fill interview forms from text or speech, but the task requires real-time clinical judgment, rapport-building, and emotional attunement that current systems cannot reliably perform end-to-end. Psychiatric interviews are high-stakes interactions requiring human intuition about safety and mental state assessment.
Task automatabilityclaude-sonnet-52/5AI can help transcribe and structure intake notes, but the actual interview requires rapport-building, real-time judgment about mental state and safety, and adaptive questioning with vulnerable patients that current systems cannot reliably conduct end-to-end.
Adoption barriersclaude-haiku-4-5-202510014/5Strong barriers exist: psychiatric assessment requires a licensed clinician to sign off on admissions in most jurisdictions, liability is asymmetric (missed safety concerns are catastrophic), and patient safety regulations explicitly govern admission interviews. Human-contact is effectively required by law and clinical standard of care.
Adoption barriersclaude-sonnet-54/5Psychiatric intake often involves safety assessments, legal documentation, and clinical judgment tied to licensure and liability, creating strong barriers to full automation even though note-taking assistance is permissible.
Cost vs. human wageclaude-haiku-4-5-202510012/5Current AI deployment for this task would require significant human oversight, validation, and re-engagement, making it only marginally cheaper than direct human interview. The liability exposure and need for human follow-up negate most cost savings.
Cost vs. human wageclaude-sonnet-52/5Documentation-assist tools can be cheap, but the interview portion still requires a trained human aide/clinician, so overall cost savings versus the full task are limited.
Technical feasibility todayclaude-haiku-4-5-202510012/5While speech-to-text and form-filling tools exist, no deployed product reliably conducts psychiatric admission interviews independently. Existing systems lack the clinical validation and trust-building capacity needed in mental health settings, and any attempt would face immediate gatekeeping by licensing requirements.
Technical feasibility todayclaude-sonnet-52/5Ambient scribe and transcription tools are deployed in some healthcare settings for documentation, but no product independently conducts psychiatric admission interviews with at-risk patients in production.

Clean and disinfect rooms and furnishings to maintain a safe and orderly environment.

14

CI 5–24 · exposure 8 · augmentation 13 · importance 4.1/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Healthcare facilities, especially psychiatric units, operate in conservative, heavily regulated environments with slow technology adoption. Physical facility-management tasks remain primarily manual, with automation adoption lagging far behind information-sector digitization.
Sector adoption velocityclaude-sonnet-51/5Healthcare support and janitorial functions in psychiatric facilities show minimal AI/robotic adoption; this is a low-digitization, physical-labor sector with slow uptake of automation for cleaning tasks.
Augmentation potentialclaude-haiku-4-5-202510012/5AI offers minimal augmentation for cleaning and disinfection work; monitoring systems and scheduling tools provide some workflow benefit, but the core task remains manual labor where AI adds little value to the aide's productivity.
Augmentation potentialclaude-sonnet-51/5AI offers negligible assistance for the physical act of cleaning and disinfecting rooms; this task is not meaningfully augmented by current AI tools.
Task automatabilityclaude-haiku-4-5-202510012/5Cleaning and disinfecting involve physical manipulation of objects and spaces that current AI lacks embodied capability to perform at scale. While robotic systems exist in research and limited deployment, they cannot reliably handle the spatial complexity, object variety, and decision-making required for hospital-grade disinfection without substantial human supervision and intervention.
Task automatabilityclaude-sonnet-51/5Physical cleaning and disinfecting of rooms in a psychiatric care setting requires manual dexterity, mobility, and judgment about contamination that current AI and robotics cannot deliver end-to-end in such environments.
Adoption barriersclaude-haiku-4-5-202510014/5Healthcare facility standards, infection control protocols, and liability requirements for maintaining sanitary environments create regulatory and institutional barriers to full automation. Facilities may face legal and accreditation risk if automated systems fail to meet disinfection standards.
Adoption barriersclaude-sonnet-52/5No licensing requirement specifically for cleaning, but infection control standards, patient safety protocols, and facility policies create moderate friction against fully automating this in a mental health care setting.
Cost vs. human wageclaude-haiku-4-5-202510011/5Capital costs for robotic cleaning systems, integration, maintenance, and repair far exceed the operational cost of hiring psychiatric aides for this work, especially in smaller healthcare facilities where economies of scale do not apply.
Cost vs. human wageclaude-sonnet-51/5Robotic cleaning solutions require expensive hardware, maintenance, and human oversight, making them more costly than a psychiatric aide performing this as one of many duties within a shift.
Technical feasibility todayclaude-haiku-4-5-202510011/5No deployed commercial AI or robotic system reliably performs full room cleaning and disinfection in psychiatric care environments at production scale today. Narrow-task robots (vacuuming, floor-cleaning) exist but cannot integrate the multi-step, context-dependent work that this task requires.
Technical feasibility todayclaude-sonnet-51/5No deployed product performs full-room cleaning and disinfection in psychiatric facilities; commercial cleaning robots exist only for narrow, controlled tasks like floor vacuuming, not comprehensive disinfection of varied furnishings.

Organize, supervise, or encourage patient participation in social, educational, or recreational activities.

11

CI 5–16 · exposure 8 · augmentation 38 · importance 4.2/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510012/5Healthcare, especially mental health, has been slow to adopt autonomous AI in direct patient care roles due to regulatory, liability, and care-quality concerns. Most adoption remains in administrative and scheduling domains, not patient engagement.
Sector adoption velocityclaude-sonnet-51/5Psychiatric aide work occurs in low-digitization, hands-on care environments where AI adoption for direct patient supervision is essentially nonexistent.
Augmentation potentialclaude-haiku-4-5-202510013/5AI can assist by recommending activity schedules, tracking patient preferences, generating participation reminders, and flagging engagement patterns; these tools can modestly boost aide efficiency and data awareness without removing human judgment or presence.
Augmentation potentialclaude-sonnet-52/5AI could help plan activity schedules or suggest educational/recreational content, but it offers minimal assistance to the core in-person supervisory and motivational task.
Task automatabilityclaude-haiku-4-5-202510012/5While AI could help schedule activities or send reminders, the core task requires real-time social engagement, motivation, and behavioral assessment of vulnerable patients. Current AI cannot reliably conduct the interpersonal supervision and encouragement that forms the substance of this work.
Task automatabilityclaude-sonnet-51/5This requires physical presence, real-time behavioral supervision, and interpersonal encouragement of vulnerable psychiatric patients—AI cannot perform the in-person supervisory and motivational role.
Adoption barriersclaude-haiku-4-5-202510014/5Strong barriers exist: psychiatric aides operate under clinical oversight, patient safety and duty-of-care laws, regulatory requirements for human supervision in mental health settings, and the inherent need for human contact with vulnerable populations. Liability for adverse outcomes falls on the organization and licensed staff.
Adoption barriersclaude-sonnet-54/5Institutional and safety regulations in psychiatric care settings require trained staff to supervise vulnerable patients, and liability concerns around patient safety create strong barriers to non-human supervision.
Cost vs. human wageclaude-haiku-4-5-202510011/5AI scheduling or notification systems cost little, but they perform only a fraction of the task. The loaded cost of a psychiatric aide performing full participation supervision and encouragement is lower than layering AI + human oversight together.
Cost vs. human wageclaude-sonnet-51/5There is no viable AI substitute performing this task, so cost comparison favors the human aide entirely; any AI tooling would only add cost without replacing the labor.
Technical feasibility todayclaude-haiku-4-5-202510011/5No deployed product reliably performs the supervisory and motivational aspects of this task. Scheduling tools exist, but they do not replace the human presence required to encourage participation and monitor patient responses in situ.
Technical feasibility todayclaude-sonnet-51/5No deployed AI product supervises or leads recreational/social activities for psychiatric patients in institutional settings; this remains squarely a human caregiving function.

Listen and provide emotional support and encouragement to psychiatric patients.

3

CI 0–5 · exposure 0 · augmentation 25 · importance 4.6/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Healthcare, especially psychiatric care, remains highly conservative and heavily regulated; adoption of AI for core therapeutic functions is minimal and moving slowly despite hype around mental health chatbots.
Sector adoption velocityclaude-sonnet-51/5Direct psychiatric patient care is a low-digitization, high-touch physical care setting with minimal AI agent deployment for core caregiving tasks.
Augmentation potentialclaude-haiku-4-5-202510012/5Current AI can assist aides by suggesting talking points or flagging distress signals in text, but most emotional support work requires human judgment and presence—augmentation is marginal and cannot replace the core listening function.
Augmentation potentialclaude-sonnet-52/5AI tools like documentation assistants or training simulations may marginally help aides, but the core act of listening and providing emotional support isn't meaningfully augmented by current AI.
Task automatabilityclaude-haiku-4-5-202510011/5Providing genuine emotional support and encouragement requires sustained empathic engagement, contextual understanding of individual trauma/needs, and dynamic emotional responsiveness that current AI cannot replicate. This task fundamentally depends on human presence, trust, and authentic relational connection—not merely information transfer.
Task automatabilityclaude-sonnet-51/5This task requires genuine human presence, physical safety monitoring, and building trust with vulnerable psychiatric patients, none of which current AI can substitute for at scale with equal quality.
Adoption barriersclaude-haiku-4-5-202510015/5Psychiatric care is heavily regulated; therapeutic relationships are legally and ethically tied to licensed providers; liability for missed suicide risk or adverse outcomes is severe; and patients specifically require human contact and trust as part of treatment itself.
Adoption barriersclaude-sonnet-54/5Institutional and regulatory requirements for supervised, in-person psychiatric care, liability for patient safety, and the necessity of human presence create strong barriers to automation.
Cost vs. human wageclaude-haiku-4-5-202510011/5The cost of deploying supervised AI systems with necessary oversight, error-handling, and human escalation protocols exceeds the wage of a psychiatric aide, while quality remains far below human-delivered care.
Cost vs. human wageclaude-sonnet-51/5AI cannot perform the physically present, safety-critical aspects of this role, so it cannot substitute for the human cost at all despite low per-interaction chatbot costs.
Technical feasibility todayclaude-haiku-4-5-202510011/5No deployed AI system reliably performs therapeutic listening and emotional support in production psychiatric care settings. Chatbots exist but lack the clinical judgment, situational sensitivity, and accountability required for psychiatric patients in crisis or acute distress.
Technical feasibility todayclaude-sonnet-51/5No deployed product provides in-person emotional support and encouragement to psychiatric inpatients as part of care staffing; chatbot companion apps exist but are not substitutes in clinical settings.

Complete physical checks and monitor patients to detect unusual or harmful behavior and report observations to professional staff.

3

CI 0–5 · exposure 0 · augmentation 25 · importance 4.5/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Psychiatric care remains heavily dependent on in-person staffing and human judgment; adoption of autonomous monitoring systems is negligible in production settings due to liability, regulatory requirements, and the critical safety function of continuous human presence.
Sector adoption velocityclaude-sonnet-51/5Healthcare institutional/direct patient care settings, especially psychiatric facilities, show slow AI adoption for hands-on monitoring tasks due to safety, regulatory, and physical presence requirements.
Augmentation potentialclaude-haiku-4-5-202510012/5AI could marginally assist by flagging patterns in historical data or reminding staff of documentation requirements, but the core task of real-time observation, physical checks, and behavioral interpretation requires trained human presence and offers limited scope for AI augmentation without compromising patient safety.
Augmentation potentialclaude-sonnet-52/5AI-based monitoring sensors, wearables, or video analytics can supplement observation by flagging anomalies, but they don't meaningfully transform the core hands-on task performed by the aide.
Task automatabilityclaude-haiku-4-5-202510011/5This task requires continuous in-person observation, physical presence, and real-time judgment about safety and behavioral changes that are inherently tied to human context. Current AI systems cannot reliably detect subtle behavioral cues, respond to emergencies, or provide the physical presence required for patient safety monitoring.
Task automatabilityclaude-sonnet-51/5This requires hands-on physical checks and real-time human observation of patients in a care facility, which current AI cannot physically perform or reliably interpret in unstructured, high-stakes environments.
Adoption barriersclaude-haiku-4-5-202510015/5This task is protected by strong legal and regulatory barriers: psychiatric aides are licensed or certified in many jurisdictions, patient safety liability falls on the facility, and clinical responsibility for behavioral assessment rests with licensed professionals who must supervise and sign off on observations.
Adoption barriersclaude-sonnet-54/5Patient safety, liability, and regulatory/licensing requirements around psychiatric care create strong barriers, as monitoring and reporting typically require trained, credentialed staff physically present with patients.
Cost vs. human wageclaude-haiku-4-5-202510011/5The cost of AI systems capable of 24/7 physical monitoring with liability coverage, plus required human oversight, would exceed the loaded wage of a psychiatric aide who provides direct care, safety response, and contextual judgment.
Cost vs. human wageclaude-sonnet-51/5There is no viable AI substitute performing the physical and observational components, so no meaningful cost comparison favors AI; human presence is mandatory.
Technical feasibility todayclaude-haiku-4-5-202510011/5No deployed AI system reliably performs unsupervised patient monitoring, physical checks, or behavioral assessment in psychiatric care settings. While monitoring sensors exist, they do not replace human clinical judgment and cannot autonomously detect and respond to the nuanced behavioral patterns requiring trained professional assessment.
Technical feasibility todayclaude-sonnet-51/5There are no deployed AI products that autonomously conduct physical checks and behavioral monitoring of psychiatric patients in production settings; this remains research/pilot territory at best (e.g., fall-detection sensors) rather than the full task.

Work as part of a team that may include psychiatrists, psychologists, psychiatric nurses, or social workers.

3

CI 0–5 · exposure 0 · augmentation 25 · importance 4.3/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5This is a hands-on, in-person clinical role in a regulated sector with minimal AI adoption for direct patient-facing work. Psychiatric care remains heavily dependent on licensed and certified human staff.
Sector adoption velocityclaude-sonnet-51/5Direct care psychiatric aide work is low-digitization, physically embedded, and has seen minimal AI-driven displacement or agent adoption.
Augmentation potentialclaude-haiku-4-5-202510012/5While AI tools might assist with documentation or information retrieval that supports a psychiatric aide's work, the core task of participating as a team member in patient care cannot be meaningfully augmented; the human must remain the primary agent.
Augmentation potentialclaude-sonnet-52/5AI tools (e.g., documentation aids, scheduling, communication logs) can marginally support coordination among team members but do not transform the core collaborative task.
Task automatabilityclaude-haiku-4-5-202510011/5This task is fundamentally about human collaboration and team membership within a clinical setting. It describes a relational and organizational role rather than a discrete work activity that AI could perform, and no AI system can substitute for a human team member in a psychiatric care environment.
Task automatabilityclaude-sonnet-51/5This task is inherently about human collaboration and physical presence within a care team; AI cannot substitute for being a team member in a psychiatric care setting.
Adoption barriersclaude-haiku-4-5-202510015/5Psychiatric aides work in regulated healthcare settings with strict licensing, liability, and legal requirements around patient care and safety. A human must perform the direct-care and team-participation functions; no automation is legally or clinically permissible.
Adoption barriersclaude-sonnet-54/5Direct patient care and interprofessional collaboration in psychiatric settings involve licensing, liability, and safety-sensitive human contact requirements that strongly resist automation.
Cost vs. human wageclaude-haiku-4-5-202510011/5This task requires a human presence in situ; the cost of replacing a psychiatric aide with an AI system is undefined and irrelevant because the function cannot be automated. Human team membership is essential.
Cost vs. human wageclaude-sonnet-51/5There is no AI equivalent that could substitute for a human team member at any cost, so no meaningful cost comparison favors AI.
Technical feasibility todayclaude-haiku-4-5-202510011/5No deployed product can function as a team member in a psychiatric care unit. While AI may assist with documentation or scheduling, it cannot participate as an active member of a clinical team delivering patient care.
Technical feasibility todayclaude-sonnet-51/5No deployed product performs the role of a psychiatric aide participating in interdisciplinary team care; this remains a human relational and physical function.

Provide patients with assistance in bathing, dressing, or grooming, demonstrating these skills as necessary.

3

CI 0–5 · exposure 0 · augmentation 0 · importance 4.2/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Healthcare and psychiatric facilities remain slow to automate frontline care tasks due to regulatory, liability, and resident dignity concerns. Adoption of automation in this domain has been negligible, with staffing remaining overwhelmingly human-dependent.
Sector adoption velocityclaude-sonnet-51/5Direct patient care in psychiatric/healthcare settings is a low-digitization, physically intensive sector with minimal AI/robotics adoption for hands-on personal care tasks.
Augmentation potentialclaude-haiku-4-5-202510011/5AI offers minimal assistance in hands-on personal care tasks. Informational systems (reminders, schedules) have marginal value; the core skill is direct physical and interpersonal support that AI cannot augment in any meaningful way today.
Augmentation potentialclaude-sonnet-51/5AI tools offer essentially no meaningful assistance to a human performing hands-on bathing, dressing, or grooming support for psychiatric patients.
Task automatabilityclaude-haiku-4-5-202510011/5This task requires hands-on physical assistance with activities of daily living (bathing, dressing, grooming) and direct physical contact with vulnerable patients. Current AI cannot perform physical manipulation or provide the necessary tactile care; robots capable of this at scale do not exist in deployed production.
Task automatabilityclaude-sonnet-51/5This is a hands-on physical caregiving task requiring direct bodily assistance and real-time adaptive support, which current AI systems (software-based) cannot perform at all.
Adoption barriersclaude-haiku-4-5-202510015/5Strong legal and regulatory barriers exist: state licensing requirements, liability for patient injury, mandated human presence in psychiatric settings, and the inherent requirement that a licensed or credentialed human must directly supervise and provide intimate personal care. Substitution is legally and ethically prohibited.
Adoption barriersclaude-sonnet-54/5Direct physical care of vulnerable psychiatric patients involves significant liability, safety, dignity, and regulatory/licensing considerations that strongly favor trained human staff, though not a strict formal licensure requirement in all jurisdictions.
Cost vs. human wageclaude-haiku-4-5-202510011/5The capital and operational costs of any robotic system capable of these tasks vastly exceed the loaded wage of a psychiatric aide, which is relatively low ($35–45k annually loaded). No cost-effective automation exists.
Cost vs. human wageclaude-sonnet-51/5There is no viable AI substitute for this physical task, so any hypothetical automation (e.g., specialized robotics) would be vastly more expensive than human aide labor today.
Technical feasibility todayclaude-haiku-4-5-202510011/5No deployed product reliably provides hands-on bathing, dressing, or grooming assistance to psychiatric patients. Robotic systems remain experimental and cannot handle the variability, safety requirements, and dignity concerns inherent in this deeply personal care task.
Technical feasibility todayclaude-sonnet-51/5No deployed AI or robotic product provides bathing/dressing/grooming assistance to psychiatric patients in production settings; this remains far outside current robotics capability for delicate, safety-sensitive personal care.

Aid patients in becoming accustomed to hospital routines.

3

CI 0–5 · exposure 0 · augmentation 25 · importance 4.2/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Healthcare adoption of AI for direct patient care remains limited and heavily constrained by regulation and clinical necessity. Psychiatric aids performing routine adjustment tasks are not targets for automation in current healthcare deployment patterns.
Sector adoption velocityclaude-sonnet-51/5Direct psychiatric patient care is a low-digitization, high-touch physical care sector with minimal AI agent deployment for this kind of task.
Augmentation potentialclaude-haiku-4-5-202510012/5AI could theoretically provide supplementary information (e.g., digital hospital maps, routine schedules) to assist an aide, but the core task—helping patients emotionally acclimate—remains a human function. Augmentation potential is minimal because the task is primarily relational rather than information-processing.
Augmentation potentialclaude-sonnet-52/5AI could help generate orientation materials or reminders, but it offers limited direct assistance to the in-person, relational process of acclimating patients to routines.
Task automatabilityclaude-haiku-4-5-202510011/5This task fundamentally requires human presence, emotional attunement, and relationship-building to help patients adjust to unfamiliar environments. Current AI lacks the embodied presence and genuine interpersonal capability to perform this task, and no material time-saving automation exists.
Task automatabilityclaude-sonnet-51/5This task requires sustained in-person presence, physical guidance, and relationship-building with vulnerable psychiatric patients, which current AI cannot perform end-to-end.
Adoption barriersclaude-haiku-4-5-202510015/5Strong barriers exist: psychiatric care is regulated, patients require human contact and emotional support as part of therapeutic protocol, and liability considerations make substituting AI for patient care untenable. Clinical standards demand human staff presence for patient orientation and adjustment support.
Adoption barriersclaude-sonnet-54/5Direct patient care in psychiatric settings involves safety, liability, and often licensing/certification requirements for aides, plus strong preference and clinical need for human contact with vulnerable populations.
Cost vs. human wageclaude-haiku-4-5-202510011/5AI systems cannot perform this task at all, making cost comparison moot; human psychiatric aides remain necessary and any AI engagement would add cost rather than substitute.
Cost vs. human wageclaude-sonnet-51/5There is no viable AI substitute delivering this physical, relational task, so AI cost comparison is not meaningful and human labor remains the only option.
Technical feasibility todayclaude-haiku-4-5-202510011/5No deployed product can reliably perform patient orientation and emotional support for hospital routines. This is inherently a human-contact task requiring empathy, situational responsiveness, and trust-building that AI systems cannot replicate in clinical settings.
Technical feasibility todayclaude-sonnet-51/5No deployed AI product orients patients to hospital routines in person; this remains entirely a human caregiving function.

Serve meals or feed patients needing assistance or persuasion.

3

CI 0–5 · exposure 0 · augmentation 13 · importance 4.2/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Healthcare, especially psychiatric care, shows slow AI adoption in direct patient contact roles due to regulatory, liability, and cultural factors. No measurable production deployment of AI for hands-on patient feeding exists.
Sector adoption velocityclaude-sonnet-51/5Direct care and psychiatric health settings show very low AI/robotic adoption for physical caregiving tasks, remaining a highly manual, low-digitization sector.
Augmentation potentialclaude-haiku-4-5-202510012/5AI might assist with meal planning, nutrition tracking, or scheduling reminders, but offers minimal value in the core task of physical feeding and behavioral reassurance that defines this role.
Augmentation potentialclaude-sonnet-51/5AI offers essentially no meaningful assistance to the physical act of feeding or persuading a patient to eat in real time.
Task automatabilityclaude-haiku-4-5-202510011/5Serving meals to psychiatric patients who need physical assistance or persuasion requires in-person presence, manual dexterity, and adaptive interpersonal judgment. Current AI cannot physically feed patients or provide the embodied reassurance and therapeutic presence this task demands.
Task automatabilityclaude-sonnet-51/5This is a hands-on physical caregiving task requiring direct physical feeding assistance and interpersonal persuasion with potentially resistant or distressed patients; no current AI system can perform this physically.
Adoption barriersclaude-haiku-4-5-202510015/5This task requires hands-on patient contact, carries high liability for errors (aspiration, infection, dignity), and is embedded in regulated care environments where human presence is mandated for patient safety and therapeutic relationship-building.
Adoption barriersclaude-sonnet-54/5Direct physical care and behavioral de-escalation with psychiatric patients typically requires trained, often certified staff, and safety/liability concerns strongly favor human presence.
Cost vs. human wageclaude-haiku-4-5-202510011/5The loaded cost of psychiatric aides ($25k–$35k annually) is far lower than the hardware, maintenance, and operational overhead of any robotic system capable of patient feeding and physical assistance.
Cost vs. human wageclaude-sonnet-51/5There is no viable AI substitute, so any hypothetical automation (e.g., feeding robots) would be far more expensive and complex than a human aide performing this task.
Technical feasibility todayclaude-haiku-4-5-202510011/5No deployed AI system can physically serve or feed patients. While robotics exists, practical psychiatric aides' task performance requires real-time behavioral and emotional responsiveness in unpredictable care settings—beyond today's deployed capabilities.
Technical feasibility todayclaude-sonnet-51/5No deployed AI or robotic product reliably feeds or persuades psychiatric patients to eat; this remains firmly outside current product capabilities.

Accompany patients to and from wards for medical or dental treatments, shopping trips, or religious or recreational events.

3

CI 0–5 · exposure 0 · augmentation 13 · importance 3.8/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Healthcare remains a laggard sector for displacement of care-related tasks, and this particular function—requiring physical presence and human accountability—shows negligible AI adoption despite sector-wide digitization trends.
Sector adoption velocityclaude-sonnet-51/5Healthcare direct-care/aide roles involving physical patient supervision show minimal AI adoption; this is a low-digitization, physical-labor-intensive sector segment.
Augmentation potentialclaude-haiku-4-5-202510011/5AI provides minimal assistance for accompanying and supervising patients in real-world settings. While scheduling or logistics tools might help plan trips, they do not augment the core task of in-person patient accompaniment.
Augmentation potentialclaude-sonnet-52/5AI could offer minor support like scheduling escorts or monitoring logs, but it provides negligible assistance to the core physical accompaniment and supervision activity itself.
Task automatabilityclaude-haiku-4-5-202510011/5This task requires physical presence, real-time responsiveness to patient needs, and in-person supervision of potentially vulnerable individuals—capabilities that current AI systems cannot provide. There is no pathway to 50% time savings through automation without removing the core human requirement.
Task automatabilityclaude-sonnet-51/5This is a physical escort/supervision task requiring bodily presence, mobility assistance, and real-time behavioral monitoring of patients—no AI system can physically accompany a person.
Adoption barriersclaude-haiku-4-5-202510015/5Legal, regulatory, and duty-of-care requirements mandate that a trained human be physically present to accompany vulnerable patients. Medical facilities face liability exposure if patient supervision is compromised, creating hard barriers to automation.
Adoption barriersclaude-sonnet-54/5Safety, liability, and duty-of-care requirements around vulnerable psychiatric patients mean a trained human staff member must be physically present; this is a strong structural and regulatory barrier to automation.
Cost vs. human wageclaude-haiku-4-5-202510011/5AI cannot perform this task at any cost, making direct cost comparison moot. Any attempt to replace this function would require humanoid robotics or remote supervision, both far more expensive than a psychiatric aide's labor.
Cost vs. human wageclaude-sonnet-51/5There is no AI substitute performing this physical accompaniment, so any comparison defaults to AI being infeasible/more costly since it cannot be done at all by software alone.
Technical feasibility todayclaude-haiku-4-5-202510011/5No deployed AI product can physically accompany patients, navigate real-world environments responsively, or provide the interpersonal support and safety oversight this task demands. This remains entirely dependent on human presence.
Technical feasibility todayclaude-sonnet-51/5No deployed AI product performs physical patient escort; this remains purely a human physical-presence task, not addressed by any commercial AI product.

Participate in recreational activities with patients, including card games, sports, or television viewing.

3

CI 0–5 · exposure 0 · augmentation 25 · importance 3.7/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Healthcare sectors, particularly inpatient psychiatric facilities, are slow to adopt automation for direct patient contact tasks. Adoption remains minimal because human interaction is viewed as therapeutically essential, not a cost to be eliminated.
Sector adoption velocityclaude-sonnet-51/5Psychiatric care and direct patient supervision are low-digitization, high-touch environments with minimal AI adoption for this kind of physical/social task.
Augmentation potentialclaude-haiku-4-5-202510012/5AI could marginally assist by suggesting games, recommending shows, or tracking patient engagement, but it offers minimal augmentation to the core task of actually participating alongside patients in recreational activity, which depends on human presence and authentic interaction.
Augmentation potentialclaude-sonnet-52/5AI could help suggest activities or track patient engagement patterns, but it offers little direct assistance during the actual recreational interaction itself.
Task automatabilityclaude-haiku-4-5-202510011/5Participating in recreational activities with patients requires genuine human presence, emotional engagement, and real-time social interaction that cannot be meaningfully automated. AI cannot credibly play card games or sports alongside patients or provide the therapeutic value of human companionship that is central to this task.
Task automatabilityclaude-sonnet-51/5This task requires physical presence, real-time social interaction, and supervision of vulnerable patients during recreational activities, none of which current AI can perform end-to-end.
Adoption barriersclaude-haiku-4-5-202510015/5Strong regulatory and care standard barriers exist: psychiatric treatment facilities are licensed and heavily regulated, patients require genuine human contact as part of therapeutic care protocols, and liability for delegating patient engagement to AI would be prohibitive. Human presence in recreational therapy is often mandated by care standards.
Adoption barriersclaude-sonnet-54/5Direct physical supervision of psychiatric patients involves safety, liability, and therapeutic rapport considerations that strongly favor human staff, even though it isn't a formally licensed task per se.
Cost vs. human wageclaude-haiku-4-5-202510011/5The cost of hardware, software, and integration to enable AI participation in recreational activities would far exceed the wage of a psychiatric aide, particularly when accounting for the liability and oversight required in a patient care context.
Cost vs. human wageclaude-sonnet-51/5There is no AI system capable of performing this physical, socially embedded task, so cost comparison favors the human by default.
Technical feasibility todayclaude-haiku-4-5-202510011/5No deployed product reliably performs this task in a clinical setting. While AI can facilitate activities (recommend games, suggest viewing options), actually participating alongside patients as a psychiatric aide would require embodied presence and authentic social engagement that current systems cannot provide.
Technical feasibility todayclaude-sonnet-51/5No deployed product substitutes for a human aide physically playing cards, sports, or watching television with psychiatric patients; this remains entirely outside current AI product scope.

Provide patients with cognitive, intellectual, or developmental disabilities with routine physical, emotional, psychological, or rehabilitation care under the direction of nursing or medical staff.

0

CI 0–0 · exposure 0 · augmentation 25 · importance 4.6/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Healthcare organizations, especially inpatient psychiatric and developmental disability settings, remain highly labor-intensive and slow to adopt automation. Workforce shortages drive hiring rather than displacement; cultural and regulatory resistance to replacing direct human care is strong.
Sector adoption velocityclaude-sonnet-51/5Direct care and psychiatric aide work is a low-digitization, physically embedded sector with minimal AI adoption for hands-on caregiving tasks.
Augmentation potentialclaude-haiku-4-5-202510012/5AI could assist with patient records, medication reminders, or activity scheduling, but these are peripheral to the core task of physical and emotional care. The intimate, moment-to-moment responsiveness required offers limited surface for meaningful AI augmentation.
Augmentation potentialclaude-sonnet-52/5AI could assist with documentation, scheduling, or care plan suggestions, but offers minimal support for the core hands-on and emotional caregiving duties.
Task automatabilityclaude-haiku-4-5-202510011/5This task fundamentally requires hands-on physical care (bathing, toileting, moving patients), emotional presence, real-time responsiveness to behavioral crises, and direct human contact that current AI cannot provide. The core work—touching, comforting, and physically assisting vulnerable patients—is not automatable by today's systems.
Task automatabilityclaude-sonnet-51/5This task requires hands-on physical care, direct emotional support, and real-time supervision of vulnerable patients, none of which current AI can perform end-to-end.
Adoption barriersclaude-haiku-4-5-202510015/5This role is deeply embedded in healthcare regulatory frameworks, duty-of-care liability, patient safety standards, and legal requirements for human supervision. In most jurisdictions, direct personal care and behavioral support for psychiatric or developmentally disabled patients must be delivered by a qualified human; liability and regulatory frameworks create hard barriers.
Adoption barriersclaude-sonnet-55/5Direct patient care for vulnerable populations involves licensing, liability, safety regulations, and mandated human supervision, creating hard barriers to automation.
Cost vs. human wageclaude-haiku-4-5-202510011/5The cost of robotic systems capable of safe patient handling, combined with ongoing maintenance and liability insurance, far exceeds the loaded wage of a psychiatric aide. Broader healthcare robotics remain prohibitively expensive for routine bedside care.
Cost vs. human wageclaude-sonnet-51/5There is no viable AI substitute performing this physical/emotional care task, so cost comparison favors human labor entirely.
Technical feasibility todayclaude-haiku-4-5-202510011/5No deployed AI product can perform the integrated physical, emotional, and rehabilitative care this role demands. While AI might support documentation or scheduling, it cannot replace the aide's direct caregiving, patient observation, or crisis response—core aspects of the role.
Technical feasibility todayclaude-sonnet-51/5No deployed AI product provides direct physical or emotional care to patients with disabilities; this remains squarely a human caregiving role.

Restrain or aid patients as necessary to prevent injury.

0

CI 0–0 · exposure 0 · augmentation 0 · importance 4.4/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Adoption of AI or robotics for direct patient physical handling in psychiatric settings is negligible; the sector remains heavily reliant on human aides due to safety, liability, and regulatory requirements.
Sector adoption velocityclaude-sonnet-51/5Direct patient care and physical safety interventions in psychiatric/institutional settings show minimal AI adoption due to the physical and high-stakes nature of the work.
Augmentation potentialclaude-haiku-4-5-202510011/5AI cannot meaningfully assist with the core physical restraint or injury-prevention function, which depends on human strength, reflexes, empathy, and real-time bodily presence.
Augmentation potentialclaude-sonnet-51/5AI offers essentially no real-time assistance during a physical restraint event, though it might contribute indirectly via incident documentation or training, which is outside this specific task.
Task automatabilityclaude-haiku-4-5-202510011/5Physically restraining or aiding patients to prevent injury requires real-time physical interaction, bodily presence, and situational judgment that current AI systems cannot perform. No meaningful part of this inherently human-contact task can be automated by AI.
Task automatabilityclaude-sonnet-51/5This is a physical, hands-on safety intervention requiring real-time human judgment, physical strength, and de-escalation skills that no AI system can perform bodily.
Adoption barriersclaude-haiku-4-5-202510015/5Strong legal and regulatory barriers exist: psychiatric aides must be licensed or certified, patient safety and liability law requires trained human judgment and accountability, and the task fundamentally requires human presence and touch for consent and therapeutic communication.
Adoption barriersclaude-sonnet-55/5Physical restraint of psychiatric patients involves strict legal, regulatory, and clinical protocols requiring trained, authorized human staff, with significant liability for improper restraint.
Cost vs. human wageclaude-haiku-4-5-202510011/5Current robotic systems capable of safe patient handling are expensive (six figures), require human oversight, and do not reduce the total cost below that of a trained psychiatric aide providing direct care.
Cost vs. human wageclaude-sonnet-51/5There is no AI substitute performing this physical task, so the cost comparison favors the human by default since AI cannot deliver the output at all.
Technical feasibility todayclaude-haiku-4-5-202510011/5No deployed AI product or robotic system reliably performs physical patient restraint or injury prevention in psychiatric care settings today. This remains a human-performed task despite decades of robotics research.
Technical feasibility todayclaude-sonnet-51/5No deployed AI or robotic product physically restrains or aids patients in crisis situations; this remains entirely a human physical task.

Maintain patients' restrictions to assigned areas.

0

CI 0–0 · exposure 0 · augmentation 25 · importance 4.3/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Healthcare, particularly psychiatric settings, has been slow to adopt autonomous AI due to liability, regulatory scrutiny, and the requirement for licensed human judgment. Clinical inertia and the life-safety stakes create laggard adoption patterns in this domain.
Sector adoption velocityclaude-sonnet-51/5Psychiatric aide work is a low-digitization, hands-on custodial care sector with minimal AI agent deployment for physical patient monitoring tasks.
Augmentation potentialclaude-haiku-4-5-202510012/5While monitoring systems could alert staff to breach attempts, the core task—maintaining restrictions through presence and intervention—remains dependent on human judgment and physical presence. Augmentation value is minimal because the human cannot be removed from the loop.
Augmentation potentialclaude-sonnet-52/5AI-enabled sensors, alert systems, or monitoring dashboards could notify staff of boundary breaches, offering marginal assistance, but the core enforcement remains human-performed.
Task automatabilityclaude-haiku-4-5-202510011/5This task fundamentally requires physical presence, real-time monitoring, and enforcement of movement restrictions in a clinical environment. AI systems cannot physically prevent patient movement or continuously supervise in-person, making end-to-end automation impossible.
Task automatabilityclaude-sonnet-51/5This task requires physical presence, monitoring, and intervention with patients in a psychiatric care setting, which current AI systems cannot perform end-to-end.dadas No off-the-shelf system can physically enforce spatial restrictions on people.
Adoption barriersclaude-haiku-4-5-202510015/5Strong regulatory and legal barriers exist: psychiatric care is heavily licensed, patient safety and dignity are legally protected, human accountability for patient welfare is mandated, and duty-of-care requirements legally bind human staff to direct oversight—automation cannot transfer this liability.
Adoption barriersclaude-sonnet-55/5Patient safety, legal liability, and regulatory requirements around psychiatric patient supervision mandate trained human staff with authority to physically intervene and restrain if necessary.
Cost vs. human wageclaude-haiku-4-5-202510011/5The cost of deploying continuous surveillance and enforcement infrastructure (cameras, sensors, integration, monitoring staff oversight) would exceed the cost of a psychiatric aide's labor, with no offsetting efficiency gain.
Cost vs. human wageclaude-sonnet-51/5There is no AI substitute performing this physical containment/monitoring function, so cost comparison favors the human aide by default since AI cannot deliver the output at all.
Technical feasibility todayclaude-haiku-4-5-202510011/5No deployed product can reliably execute this task autonomously. While surveillance and alert systems exist, they cannot independently enforce restrictions—they require human staff to intercede, making full task performance infeasible without human presence.
Technical feasibility todayclaude-sonnet-51/5No deployed AI product physically monitors or enforces patient movement restrictions in psychiatric facilities; this remains entirely a human physical-presence task.

Perform nursing duties, such as administering medications, measuring vital signs, collecting specimens, or drawing blood samples.

0

CI 0–0 · exposure 0 · augmentation 25 · importance 4.0/5 · click for rater detail

Panel ratings per dimension for this task
DimensionModelRatingRationale
Sector adoption velocityclaude-haiku-4-5-202510011/5Healthcare adoption of AI for bedside clinical procedures is minimal; hospitals and psychiatric facilities retain human nursing staff for these tasks. Automation in this domain faces slow adoption due to regulatory constraints and patient safety culture.
Sector adoption velocityclaude-sonnet-51/5Direct patient care and psychiatric hospital settings show minimal AI adoption for hands-on procedures, remaining a low-digitization physical-labor context.
Augmentation potentialclaude-haiku-4-5-202510012/5AI can provide limited augmentation through vital sign alerts, medication interaction checking, or specimen tracking, but does not materially transform the productivity of the aide performing the physical clinical tasks themselves.
Augmentation potentialclaude-sonnet-52/5AI can assist with documentation, vital sign tracking software, or medication reminders, but offers little augmentation to the core physical nursing actions themselves.
Task automatabilityclaude-haiku-4-5-202510011/5While AI can assist with documentation of vital signs or medication reminders, the physical procedures required—administering medications, drawing blood, collecting specimens—demand embodied action that current AI systems cannot perform. No end-to-end automation exists for these hands-on clinical tasks.
Task automatabilityclaude-sonnet-51/5This task requires direct physical manipulation of patients (administering meds, drawing blood, taking vitals) which current AI cannot perform without robotic embodiment far beyond deployed capability.
Adoption barriersclaude-haiku-4-5-202510015/5These are directly licensed clinical tasks in most jurisdictions; nursing boards and regulatory bodies require a credentialed human (RN, LPN, or aide under supervision) to perform medication administration and blood draws. Legal liability and patient safety requirements create hard barriers to substitution.
Adoption barriersclaude-sonnet-55/5Administering medications and drawing blood are licensed clinical procedures with strict regulatory, safety, and liability requirements mandating qualified human staff.
Cost vs. human wageclaude-haiku-4-5-202510011/5The infrastructure required for robotic phlebotomy or medication dispensing remains experimental and capital-intensive, making AI far more expensive than the loaded wage of a psychiatric aide for these routine clinical procedures.
Cost vs. human wageclaude-sonnet-51/5There is no viable AI substitute performing this hands-on clinical task, so AI cost is effectively infinite relative to human labor for this function.
Technical feasibility todayclaude-haiku-4-5-202510011/5Deployed AI products do not perform these core clinical duties independently in production. Vital sign monitoring aids and documentation systems exist, but no system reliably administers medications, draws blood, or collects specimens without human personnel.
Technical feasibility todayclaude-sonnet-51/5No deployed AI product physically administers medications or draws blood in psychiatric care settings; this remains entirely a human physical-care task.

Related occupations — Healthcare Support

How to read this

A high substitution score does not mean this job disappears — it means a large share of its current tasks face replacement pressure, so the mix of tasks is likely to change. High augmentation alongside substitution typically means the occupation reorganizes around the protected tasks. Wide confidence intervals mean the rater panel disagreed: treat those scores as open questions, not verdicts.

What would change this score

New model capabilities (automatability, feasibility), falling inference costs (cost ratio), regulation and licensing shifts (barriers), and measured sector adoption (velocity) all re-enter at every index release. Each release is recomputed, versioned and kept queryable — scores are claims with a date on them, not permanent labels.