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Time Machine

Nursing Assistants

Scrub through 175years of this role's history, from when it first emerged, through every wave of technology that reshaped it, to the cited projections for where it's heading next.

2026drag to travel through time
187519001925195019752000now
Country
2026
Known today as Nursing Assistants (BLS SOC 31-1131)
Latest actual · 2024
1.44M
BLS OEWS May 2024 figure, sourced from O*NET which reflects the same BLS establishment-survey figure. Employment remains below the pre-COVID 2019 peak due to persistent post-pandemic staffing shortages. A 2022 AHCA survey found 98% of nursing homes had difficulty hiring staff. The COVID-19 pandemic drove roughly 14% of long-term care staff to leave the workforce between 2020 and 2022. Despite a modest recovery, the occupation remains understaffed relative to demand as the US population aged 65+ continues to grow. The +2% BLS projection through 2034 reflects continued demand growth offset by ongoing workforce pipeline constraints.
Latest actual · 2024
$39,530
Source: BLS-OEWS
Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.
Tools of the era

The tools that defined the work

Select an era to see how it reshaped the work.

  • Manual care with no instruments (pre-professionalization era)

    The hospital attendant of the Civil War and early-hospital era had no instruments of their own. The work was entirely physical and observational: changing linen, bringing food and water, repositioning bedridden patients, cleaning and dressing wounds under a nurse or surgeon's direction. The ward orderly's tools were a bedpan, a basin, and their hands. The only technology that entered the ward was shared with the nursing staff: the clinical thermometer (introduced to US practice after the Civil War, widespread by 1880), the hypodermic syringe (1860s), and, by the early twentieth century, the basic vital-signs kit. The attendant did not use these instruments; they were the domain of the nurse. What the attendant provided was physical labor and presence, and that function has not changed in 160 years.

    Work toolChanging equipment
  • Manual care tools: blood pressure cuff, vital-signs equipment, bedside call system

    By the postwar era, nursing aides had taken on the routine vital-signs tasks that occupied a growing share of basic patient monitoring: temperature, blood pressure (the sphygmomanometer became standard ward equipment in the 1940s), pulse and respiration, and simple intake-output measurement. The bedside call light system, which became standard in hospital ward design after World War II, gave aides a direct communication line with patients and created the demand-response workflow that remains the structural spine of the nursing assistant's day. These tools augmented the aide's reach but did not change the fundamentally physical nature of the role: bathing, feeding, transferring, and toileting patients remained entirely manual, and the physical demands of the job placed nursing aides among the occupations with the highest rates of musculoskeletal injury.

    Paper chartClinical notes
  • OBRA 1987 standardized training + state CNA registries + powered patient lifts

    The Omnibus Budget Reconciliation Act of 1987 mandated minimum 75-hour training and state competency examinations for all nurse aides in Medicare/Medicaid-certified facilities, effective January 1, 1990. This transformed the nursing aide from an informal labor category into a credentialed occupation: the Certified Nursing Assistant. State registries tracked who held a valid CNA credential, and facilities faced federal penalties for using unregistered staff. The training standardized basic clinical skills (vital signs, catheter care, range-of-motion exercises, body mechanics) that had previously varied wildly by facility. Simultaneously, powered patient lift devices began entering nursing homes in the 1990s as facilities responded to alarming injury-rates among staff performing manual transfers. Mechanical lifts reduced back injuries but added equipment-operation skills to the CNA's role.

    Effect on the work

    OBRA 1987 certification increased the formal skill bar for entry-level CNAs and may have slightly reduced the supply of casual labor willing to obtain the credential, but the credential itself was not particularly restrictive (75 hours of training). The main labor effect was institutional: facilities could no longer legally staff wards with uncredentialed workers, which nudged wages modestly upward in the early 1990s.

    Work toolChanging equipment
  • Electronic health records at the bedside (Epic, MEDITECH mobile carts)

    The rollout of EHR systems across US hospitals and skilled nursing facilities in the 2005-2015 period reached nursing assistants in a specific form: mobile nursing carts and point-of-care terminals that required CNAs to document vital signs and activities of daily living digitally rather than on paper flow sheets. Epic's bedsidePOC module and MEDITECH's nursing documentation interface became standard in hospital settings. For nursing assistants, EHR adoption meant a new required skill (basic computer literacy, navigating the documentation interface) layered on top of the existing care tasks. The transition was often poorly supported: facilities frequently lacked adequate EHR training for nursing assistants, who were expected to adapt alongside RNs despite having less familiarity with digital tools. The upside was that digitally documented vitals and ADL data fed directly into the nurse's clinical view, closing a communication gap that paper flow sheets had left open.

    Electronic recordDigital charting
  • AI ambient documentation + sensor-based fall prevention (Commure, Aiva, VirtuSense VSTAlert)

    Two AI-powered tools reached nursing assistant workflows in the 2020s. First, ambient documentation: Commure Ambient for Nursing (launched November 2025 inside Epic Rover) and Aiva Nurse Assistant captured bedside conversations and auto-populated EHR flowsheets, removing the keystroke burden from documentation. A Cedars-Sinai pilot of Aiva with 120+ nurses showed an 81% reduction in time between patient observation and documentation completion. Second, sensor-based fall prevention: VirtuSense VSTAlert, deployed in skilled nursing facilities from around 2018 onward, uses infrared sensors to detect bed-exit intent 31-65 seconds before the resident actually rises, alerting staff with 98% accuracy and 95% fewer false alarms than traditional bed alarms. Facilities using VSTAlert reported 75-85% reductions in falls. Both tools augment rather than displace the nursing assistant: the documentation AI reduces the time spent at terminals, and the fall sensor extends the aide's effective span of attention across a multi-patient assignment. Neither replaces the hands that bathe, feed, or transfer a patient.

    Effect on the work

    No direct displacement of CNA positions has been documented from either tool type. Ambient documentation frees approximately 15-20 minutes per shift from documentation tasks; fall-prevention sensors allow one CNA to effectively monitor more residents without increased fall rates. McKinsey estimates approximately 10% of nursing activities could be freed by automation, almost entirely from the documentation and information-relay portion of the job.

    AI clinical supportSignals and alerts
Projection cone · present → 2034

What credible sources project

Scrub the slider past now to anchor each scenario on the scrubber. The spread is the range of futures credible sources project for this role.

Employment outlook
Projected change in the number of people doing this work.
PHI Direct Care Workforce projections (2024)
2033
+12%
PHI (Paraprofessional Healthcare Institute) projects the direct care workforce (which includes nursing assistants, home health aides, and personal care aides) will need to grow substantially to meet aging-population demand, with direct care jobs representing the largest occupational growth sector in the US economy through the mid-2030s. For nursing assistants specifically, PHI models point toward roughly 10-15% additional demand by 2033 if workforce pipeline gaps can be closed, driven by the combined effect of the aging baby boom and the preference for institutional-plus-home care over purely hospital-based care. This optimistic scenario assumes successful implementation of higher minimum wages in several major states that have improved CNA recruitment since 2021.
BLS National Employment Matrix 2024-34
2034
+2%
BLS Employment Projections 2024-34 cycle projects +2% employment growth for nursing assistants and orderlies combined, equivalent to approximately 28,800 additional positions over the decade, from 1,441,500 (2024) to approximately 1,470,300 (2034). The BLS methodology models the aging US population as the primary driver: the 65+ cohort is projected to grow from roughly 58 million in 2024 to 73 million by 2034 as the remainder of the baby boom cohort crosses the threshold. The main headwinds are continued staffing pipeline constraints, Medicaid reimbursement rate pressure that limits nursing home ability to offer wage increases, and modest substitution from home health aides in community settings. The projection is classified as "slower than average" for all occupations (+4%), reflecting the workforce supply constraints rather than declining demand. About 211,800 openings per year are projected, mostly from turnover replacement rather than net growth.
AI task exposure
Share of the role’s tasks that researchers estimate AI can do. This is a measure of task exposure, not a forecast of jobs lost.
Eloundou et al., "GPTs are GPTs" (2023, Science 2024)
2028
10%
of tasks
GPT-4 task-by-task LLM exposure labeling on O*NET tasks for healthcare support occupations. Nursing assistants score very low on LLM exposure because the dominant tasks (bathing, feeding, transferring, repositioning, ambulating patients) require physical presence, situational judgment, and tactile interaction that language models cannot provide remotely. Only the documentation and information-relay portion of the job (charting vitals, shift handoffs, oral care logs) carries meaningful LLM exposure. The 10% figure represents a conservative estimate of task-level exposure, driven almost entirely by the documentation channel. McKinsey estimates approximately 10% of nursing activities could be freed by automation, corroborating this range. The Eloundou methodology measures what LLMs could do, not what headcount would be eliminated; ambient documentation tools are more likely to reduce charting burden than to displace positions.
Today, in this role

What's shifting in the work right now

The historical view above shows how this role has moved. This is the present-day detail: which AI tools are picking up which tasks, where the edge still is, and the natural directions this work can grow.

What's changing in your day

Three parts of your work where AI is already doing real lifting, and what stays yours.

AI is sitting alongside you herePerform end-of-shift handoff and document patient status using AI-drafted shift summaries that pull from flowsheet data, reducing the time spent on narrative charting before sign-off.

Perform end-of-shift handoff and document patient status using AI-drafted shift summaries that pull from flowsheet data, reducing the time spent on narrative charting before sign-off.[5],[6]

Where your edge is

Review and correct AI-drafted handoff notes for accuracy; your clinical judgment still owns the final record, and errors in handoffs cause downstream patient harm.

AI is sitting alongside you hereMonitor residents or patients for fall-risk behaviors using AI-assisted sensor alerts (bed-exit prediction, gait instability) and respond to real-time staff notifications before a fall occurs.

Monitor residents or patients for fall-risk behaviors using AI-assisted sensor alerts (bed-exit prediction, gait instability) and respond to real-time staff notifications before a fall occurs.[7],[8]

Tools picking this up
Where your edge is

Understand how your facility's fall-prevention sensor system works and what the alert thresholds mean; faster response to alerts is the key outcome metric facilities track.

AI is sitting alongside you hereRecord and document patient vitals (blood pressure, temperature, pulse, respiration rate, oxygen saturation) in the EHR flowsheet using voice-to-chart tools to reduce keyboard time at the bedside.

Record and document patient vitals (blood pressure, temperature, pulse, respiration rate, oxygen saturation) in the EHR flowsheet using voice-to-chart tools to reduce keyboard time at the bedside.[1],[5]

Where your edge is

Learn voice-documentation workflows in Epic Rover or your facility EHR so you can chart at the bedside without returning to a workstation.

Where this role is heading

Natural next steps for someone with your foundation: not exits, evolutions.

A direction you could grow

Licensed Practical and Licensed Vocational Nurses

Licensed Practical Nurses perform many of the same hands-on care tasks as CNAs but with expanded clinical authority (medication administration, wound care, IV maintenance) and higher median pay ($59,730 vs $39,530). The path from CNA to LPN typically requires 12-18 months of accredited education plus passing the NCLEX-PN; facilities often offer tuition assistance for CNAs who commit to the path.

What you'd add
  • · LPN/LVN accredited certificate program (pharmacology, nursing fundamentals, clinical rotations)
  • · NCLEX-PN licensure examination
  • · Medication administration and basic IV therapy (state-scope dependent)
  • · Wound care documentation and dressing change technique
  • · Care planning and clinical judgment framework (SBAR, ADPIE)
What it takesSome new skills to pick up
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The data behind this timeline

On record since1861
Latest tracked employment1,441,500 (US, 2024)
Latest median pay$39,530 (2024)
Outlook+12% by 2033 (PHI Direct Care Workforce projections (2024))
View all 11 cited data points
YearUS employmentMedian annual paySource
1946178,000n/aESTIMATE
1952297,000n/aESTIMATE
19801,175,000n/aCENSUS-DECENNIAL
19901,418,000n/aCENSUS-DECENNIAL
1999n/a$18,610BLS-OEWS
20191,510,000$29,660BLS-OEWS
20201,371,050$30,850BLS-OEWS
20211,314,830$30,310BLS-OEWS
20221,310,090$35,760BLS-OEWS
20231,351,760$38,200BLS-OEWS
20241,441,500$39,530BLS-OEWS
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