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Time Machine

Orderlies

Scrub through 174years 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
2026
Known today as Orderlies (BLS SOC 31-1132)
Latest actual · 2024
53K
OEWS is a point-in-time survey snapshot, not a continuous time series; BLS advises against using it for year-over-year trend comparison.
Latest actual · 2024
$37,700
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 stretcher and wheeled litter (Civil War to early-century hospital)

    The orderly's core tool in the Civil War era was the stretcher: a simple canvas-and-pole frame used to transport wounded soldiers from field stations to general hospitals. After the war, civilian hospitals adopted the wheeled litter and the hand-pushed invalid carriage (a precursor to the wheelchair) for patient transport inside wards. The physical demands were severe: orderlies lifted, moved, and repositioned patients without mechanical assistance, and ward floors were often uneven wooden boards or stone. No technology mediated the interaction between orderly and patient; the work was entirely embodied.

    Work toolChanging equipment
  • Hospital wheelchair, gurney, and dumbwaiter (interwar through postwar hospital expansion)

    The steel-framed folding wheelchair, refined in the 1930s and mass-produced after the Veterans Administration post-World War II rehabilitation programs drove demand, became the standard orderly transport device. Alongside it, the wheeled gurney (stretcher on a frame with casters) replaced the hand-carried stretcher for internal hospital transport. Service elevators and dumbwaiters moved supplies and linen between floors, reducing the vertical-transport labor that had previously required orderlies to carry loads up stairs. The 1930s-1960s also saw hospitals standardize ward layouts to shorten transport distances, reducing physical strain but not headcount. Orderlies at mid-century were responsible for all patient transport, supply distribution, and the movement of soiled linen and waste, roles they performed without electronic tracking or scheduling tools.

    Work toolChanging equipment
  • Pneumatic tube systems and computerized nurse-call (first logistics automation)

    Hospitals began installing pneumatic tube networks in the 1950s for laboratory samples and medications, and by the 1970s these systems were widespread in large acute-care hospitals. Computerized nurse-call and intercom systems arrived in the same era. Together these technologies automated the movement of small items (lab specimens, medication cartridges, paperwork) that had previously required an orderly to walk the route. The result was a modest reduction in the trip volume orderlies handled, freeing them to concentrate on patient transport tasks that tubes cannot perform. The 1987 OBRA reform simultaneously sharpened the statutory line between orderlies and certified nursing assistants, shrinking the pre-OBRA combined category and concentrating the orderly role on its transport-and-logistics core.

    Effect on the work

    The combined effect of pneumatic tube automation and the OBRA 1987 CNA requirement was a substantial decline in the combined "nursing aides, orderlies, and attendants" category from approximately 1.4 million in 1988 to a more differentiated set of subcategories, with the narrow orderly subgroup stabilizing at a much smaller headcount than the pre-OBRA combined figure would suggest.

    Work toolChanging equipment
  • Autonomous mobile robots for supply transport (Aethon TUG, deployed 2004)

    Aethon, a Pittsburgh robotics company founded in 2001, deployed its first TUG autonomous mobile robot in a hospital in 2004. The TUG navigated hospital corridors using onboard sensors and Wi-Fi-linked elevator calls, delivering medications, linens, meals, and lab specimens without human guidance. By 2018 TUGs were operating in over 100 hospitals. The technology automated the supply-delivery component of the orderly role at scale, freeing orderly time for patient transport tasks the robots could not handle. A TUG cannot assist an anxious or disoriented patient on a gurney, cannot interpret a patient's fall risk mid-transit, and cannot adjust to the dynamic social environment of an acute-care floor. The supply-delivery automation therefore compressed the orderly's task profile toward higher-complexity, person-facing work rather than eliminating the occupation.

    Effect on the work

    No published study has isolated the employment effect of TUG robots on orderly headcount specifically. The occupation's national employment figure was approximately 50,000-55,000 throughout the 2000s-2010s, suggesting the supply-automation effect was offset by growing hospital volume rather than causing net job loss.

    Work toolChanging equipment
  • Smart beds, electronic transport tracking, and patient flow software

    Modern acute-care hospitals use bed-sensor systems (Hill-Rom, Stryker) that track patient position, weight, and fall risk; electronic patient flow platforms (TeleTracking, Epic Rover) that queue and prioritize transport requests; and radio-frequency identification (RFID) wristbands that log every patient movement through the facility. As of 2025-26 the mainstream daily-driver tool for an orderly is a smartphone or tablet running a transport dispatch app: the orderly receives a priority-queued request, navigates to the patient, scans the RFID wristband to confirm identity, and logs pickup and dropoff times. The human judgment in the loop (reading the patient's anxiety level, managing an unexpected change in condition mid-transit, communicating with nursing staff) is what the software still cannot perform. AI-assisted patient flow optimization is beginning to influence how transport requests are batched and prioritized, but as of 2026 the orderly remains the executing agent.

    Work toolChanging equipment
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.
BLS — Healthcare and Social Assistance sector projections 2024-34
2034
+8.4%
BLS projects the healthcare and social assistance sector to grow 8.4% from 2024-2034, the fastest-growing major sector. This sector-level projection sets a favorable macro context for hospital support occupations including orderlies, whose growth is constrained below the sector average primarily by supply-automation (robots, tubes) absorbing logistics tasks and by the concentration of the remaining orderly role in hospitals rather than the faster-growing home-health segment. Reported here as a cross-check on the occupation-specific projection.
BLS National Employment Matrix 2024-34
2034
+3.3%
BLS Employment Projections industry-occupation matrix. The 2024-34 cycle projects 3.3% employment growth for 31-1132 (from 54,000 to approximately 55,800), slightly below the all-occupations average of 4%, driven by growing hospital patient volume from an aging population offset by continued supply-automation (TUG robots and pneumatic systems) taking over non-patient-contact logistics tasks. The BLS projects roughly 7,800 annual openings over the decade, many from replacement demand as the workforce turns over.
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. (2023) — "GPTs are GPTs"
2028
10%
of tasks
GPT-4 task-by-task LLM exposure labeling on O*NET tasks. Orderlies score among the lowest occupations for LLM exposure because the dominant tasks require physical presence and embodied judgment: transporting patients safely, communicating with clinical staff under time pressure, managing patients in distress, and navigating complex hospital environments. LLMs can automate dispatch scheduling optimization at the margins but cannot substitute for the person physically moving the patient. The 10% exposure estimate reflects the scheduling and documentation tasks that AI tools can partially assist with.
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 hereLift or assist others to lift patients to move them on or off beds, examination tables, surgical tables, or stretchers.

Lift or assist others to lift patients to move them on or off beds, examination tables, surgical tables, or stretchers.[2]

Where your edge is

AI is sitting alongside you hereTransport patients to treatment units, testing units, operating rooms, or other areas, using wheelchairs, stretchers, or moveable beds.

Transport patients to treatment units, testing units, operating rooms, or other areas, using wheelchairs, stretchers, or moveable beds.[2]

Where your edge is

AI is sitting alongside you hereDisinfect or sterilize equipment or supplies, using germicides or sterilizing equipment.

Disinfect or sterilize equipment or supplies, using germicides or sterilizing equipment.[2]

Where your edge is

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The data behind this timeline

On record since1862
Latest tracked employment53,020 (US, 2024)
Latest median pay$37,700 (2024)
Outlook+3.3% by 2034 (BLS National Employment Matrix 2024-34)
View all 8 cited data points
YearUS employmentMedian annual paySource
195937,900$1,664ESTIMATE
199978,000$17,975ESTIMATE
201946,990$28,980BLS-OEWS
202043,570$30,030BLS-OEWS
202145,160$29,990BLS-OEWS
202244,790$34,520BLS-OEWS
202348,710$36,830BLS-OEWS
202453,020$37,700BLS-OEWS
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