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Time Machine

Physician Assistants

Scrub through 71 years 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.

Clinical craft tools (stethoscope, otoscope, reflex hammer) + paper chartsClinical craft tools (stethoscope, otoscope, reflex hammer) + paper charts
Medicare Part B direct reimbursement (1986) + early EMR pilotsMedicare Part B direct reimbursement (1986) + early EMR pilots
Electronic health records (Epic, Cerner) + clinical decision supportElectronic health records (Epic, Cerner) + clinical decision support
Telehealth platforms (Teladoc, Amwell) + point-of-care diagnosticsTelehealth platforms (Teladoc, Amwell) + point-of-care diagnostics
AI clinical documentation (Nuance DAX, Abridge) + LLM decision support + prior-auth automationAI clinical documentation (Nuance DAX, Abridge) + LLM decision support + prior-auth automation
19752000now

Drag the dot, click anywhere on the track, or use ← → arrow keys (Shift for 10-year jumps, PgUp/PgDn for 25).

2026
Known today as Physician Associate (PA) — AAPA preferred term (AMA contested; both titles in legal use)
US Employment
163K
BLS National Employment Matrix baseline for SOC 29-1071: 162.7 thousand employed PAs in 2024. This is the authoritative projection baseline used in the BLS 2024-2034 employment projections cycle. Approximately 90.1% of employed PAs work in the healthcare and social assistance sector.
Median Annual Wage
$130,020
Source: BLS-OEWS
AI clinical documentation (Nuance DAX, Abridge) + LLM decision support + prior-auth automationTool of the era · AI clinical documentation (Nuance DAX, Abridge) + LLM decision support + prior-auth automation

The COVID-19 pandemic compressed five years of telehealth adoption into twelve months and accelerated an AI investment wave in clinical documentation. Nuance DAX (Dragon Ambient eXperience), launched commercially in 2020 and acquired by Microsoft in 2022, allows PAs to conduct a patient encounter while the system generates a structured SOAP note from ambient audio — reducing documentation time by 30-50% in early clinical trials. Abridge (2018, health system partnerships from 2022) and similar systems are now in deployment across major US academic medical centers. For PAs, who have historically spent disproportionate time on documentation relative to billable encounter volume, ambient scribing represents the most significant workflow change since EHR adoption. LLM-powered decision support tools (Epic Cognitive Computing, IBM Watson clinical modules, and open-model deployments) are beginning to surface differential diagnosis suggestions, treatment protocol references, and drug interaction flags directly in the EHR workflow.

Early adopter data (Nuance DAX pilot sites, 2021-2023) suggests ambient scribing reduces per-encounter documentation time by 7-12 minutes — material for PAs managing 18-22 patient encounters per day. The released time is not currently translating to reduced headcount but to increased patient panel capacity and reduced after-hours chart-completion burden.

Projection cone · present → 2034

What credible sources project

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

BLS Occupational Outlook 2022-32 (prior cycle)
→ 2032
+28%
BLS Employment Projections 2022-32 cycle (prior to the 2024-34 update). Projected +28% growth from 2022 to 2032 — "much faster than average." The higher projected rate in this earlier cycle reflects more aggressive ACA-implementation assumptions and COVID-era demand surge modeling. The 2024-34 cycle moderated the projection as post-COVID healthcare utilization normalized. Both cycles agree on the directional strength of PA demand growth; the divergence is in magnitude.
AAPA Workforce Survey — primary care shortage scenario
→ 2034
+25%
AAPA workforce research projects a US primary care physician shortage of 21,000-55,000 by 2033 (AAMC 2023 physician supply projections). Under the scenario where PA scope-of-practice laws continue to expand in parallel — as of 2024, PA practice authority has been modernized in 40+ states under the "team-based care" model replacing strict supervision with collaborative practice agreements — demand for PAs as the accessible substitute for scarce primary care physicians supports employment growth at the upper bound of BLS projections. This is the optimistic tail of the uncertainty cone.
BLS National Employment Matrix 2024-34
→ 2034
+20%
BLS Employment Projections 2024-34 cycle. Baseline: 162,700 employed PAs (2024). Projected: 195,800 (2034). Absolute increase: 33,200. Percent change: 20.4%, rounded to 20% here. Approximately 90.1% of PA employment in healthcare and social assistance sector (2024), rising to 91.8% by 2034. BLS projections model demographic demand (aging population requiring more chronic disease management), primary-care access gaps, and ACA-era coverage expansion as primary drivers. This is the authoritative baseline for the near-term outlook.
Eloundou et al. — "GPTs are GPTs" (2023)
→ 2028
-3%
GPT-4 task-by-task LLM exposure labeling on O*NET tasks for physician assistant occupations. PAs score moderate on LLM exposure — the documentation, coding, and communication tasks are LLM-addressable; the physical examination, procedural skill, and real-time clinical judgment tasks are not. The -3% estimate represents the conservative lower-bound on near-term net displacement: documentation burden reduction from AI scribing may allow each PA to handle more patients, reducing marginal headcount growth below BLS projections, but is unlikely to drive absolute employment decline given underlying demographic demand. The dominant dynamic is augmentation, not substitution.
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 here

Review and approve AI-drafted SOAP notes and After Visit Summaries (AVS) generated by ambient documentation tools (Dragon Copilot, Abridge, Suki AI) after patient encounters — verifying each clinical data element against the Linked Sources conversation transcript, correcting diagnostic inaccuracies or omitted findings, and signing the finalized note as the PA of record before it is filed to the EHR.[8],[4],[12]

Tools picking this up
Where your edge is

Ambient AI now handles the drafting step for clinical notes — the JAMA 2025 multi-site RCT found ambient scribes cut after-hours EHR documentation ("pajama time") by 62% for licensed clinicians including APPs. AAPA's 2025 Clinician Survey found documentation burden is the single most-cited PA job dissatisfier; this is the AI tool category with the clearest immediate ROI. Shift from dictation to expert review: treat AI note drafts as a first-pass transcript summary and scan for the specific errors these tools make — omitted pertinent negatives, imprecise symptom timing, and incorrect medication dosing — so your review is faster and more accurate than re-dictating from scratch.

Get started with these tools
AI is sitting alongside you here

Manage prior authorization workflows for prescribed medications and procedures — completing EHR-native prior authorization requests using Epic PA automation or Surescripts Prior Authorization Automation for qualifying medications; authoring clinical justification narratives for complex or specialty-drug PAs not handled by automated approvals; and reviewing AI-drafted PA letters for clinical accuracy before submission to insurers.[13],[4]

Tools picking this up
Where your edge is

Surescripts Prior Authorization Automation achieved 18-second median approval times for automatable PA categories — a meaningful fraction of the 8-12 hours/week that AAPA surveys report PAs spend on PA-related tasks is now automated at forward-thinking health systems. The complex specialty-drug and off-label cases still require a PA-authored clinical narrative with specific diagnostic justification. Build fluency with your EHR's PA tracking workflows and develop efficient clinical justification templates for the high-frequency PA types in your specialty.

Get started with these tools
AI is sitting alongside you here

Conduct AI-assisted pre-visit preparation — reviewing Notable Health AI-gathered patient-reported outcomes (PROs), pre-visit questionnaire responses, and automatically-populated intake data in the EHR before the encounter; identifying care gaps, abnormal values, and outstanding referral results pre-loaded by the AI; and using this structured pre-charting to focus the encounter on clinical assessment and patient communication rather than data collection.[14],[15]

Tools picking this up
Where your edge is

AI pre-visit intake tools like Notable Health are reducing the data-collection burden of outpatient encounters — patients complete structured intake via conversational AI, and the data auto-populates the EHR before the PA enters the room. This shifts the PA's prep time from data entry to clinical interpretation. Build a rapid review protocol for AI-structured pre-visit summaries: train yourself to immediately identify which pre-populated values are clinically actionable vs. routine, and arrive at encounters with a clinical hypothesis already forming from the structured intake.

Where this role is heading

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

A direction you could grow

Medical and Health Services Managers

Experienced PAs who develop operational, financial, and strategic leadership experience are well positioned for PA clinical director, medical director, and Vice President of Advanced Practice roles within health systems — roles classified under Medical and Health Services Managers. As ambient AI documentation tools (Dragon Copilot, Abridge, Suki, Heidi Health) and AI clinical decision support platforms are deployed across APP-staffed clinics and hospital services, health systems urgently need APP clinical leaders who understand both the clinical domain and the organizational change management required for responsible AI adoption. BLS projects Medical and Health Services Managers at +29% growth 2024-2034, the fastest-growing large management occupation. APP clinical director roles typically command base salaries of $160,000-$220,000, well above the PA median of $132,000. The stepping stones are PA team lead, APP department chair, quality committee leadership, or medical staff advisory roles.

What you'd add
· AI governance for clinical operations: evaluating ambient documentation and clinical decision support tools, overseeing PA-specific AI adoption programs, monitoring model performance
· Medical staff leadership: PA team lead, APP quality committee chair, or clinical supervisor roles as the credentialing path to director-level positions
· Regulatory and credentialing: PA collaborative practice agreement negotiation, privileging, and credentialing administration by specialty and state
What it takesSome new skills to pick up
Present-day sources

Sources

Every claim on this page traces back to one of the following. Updated 2026-05-23.

  1. [1]O*NET 30.3 — Physician Assistants (29-1071.00): tasks, work activities, technology skills, employment data· accessed 2026-05-23
  2. [2]BLS OOH — Physician Assistants: 168,300 employed 2024; +28% growth 2024-2034; 59,100 new jobs projected; median wage $130,020· accessed 2026-05-23
  3. [3]AAPA 2025 Salary Survey — PA-C median total compensation $132,000; surgical specialties median $147,000; dermatology and hospital medicine fastest hiring growth· accessed 2026-05-23
  4. [4]AAPA 2025 Clinician Survey — documentation burden is #1 PA job dissatisfier; 78% report shortened patient encounter time due to administrative demands; 62% interested in AI documentation tools· accessed 2026-05-23
  5. [5]AAPA Principles for the Integration of AI in PA Practice (2025) — PAs responsible for validating AI-generated clinical information; AI augments but does not replace PA clinical judgment or collaborative practice relationship· accessed 2026-05-23
  6. [6]Microsoft Dragon Copilot — rebranded March 2025; 750+ U.S. health systems; 70% documentation time reduction; supports all licensed clinicians including PAs and NPs· accessed 2026-05-23
  7. [7]KLAS First Look Report — Abridge Ambient AI for Physicians/APPs 2026: 94.3/100 KLAS score; Best in KLAS Ambient AI 2025+2026; supports PA and NP workflows at UPMC, Mayo Clinic, Johns Hopkins· accessed 2026-05-23
  8. [8]JAMA 2025 multi-site RCT — Ambient AI scribes reduced after-hours EHR documentation ("pajama time") by 62%; clinician cohort includes licensed APPs including PAs· accessed 2026-05-23
  9. [9]AMA AI in Health Care position (2025) — licensed clinicians (including PAs under collaborative agreements) bear ultimate clinical responsibility for AI-assisted decisions· accessed 2026-05-23
  10. [10]NEJM AI — ambient AI scribes reduce documentation burden 2-4 hours per clinical day; PA and APP workflow coverage in clinical studies 2025-2026· accessed 2026-05-23
  11. [11]Eloundou et al. 2024 — GPTs are GPTs (Science): occupational LLM exposure framework· accessed 2026-05-23
  12. [12]Suki AI — 72% reduction in documentation time; 150+ health systems; integrates with Epic, Oracle Health, Athenahealth; purpose-built for PAs, NPs, and physicians (Healthcare IT News 2025)· accessed 2026-05-23
  13. [13]Surescripts 2025 Annual Impact Report — Prior Authorization Automation: 18-second median approval time; 34% automated approval rate; 68,000+ active prescribers at 42 health systems enabled· accessed 2026-05-23
  14. [14]Notable Health — 80+ health systems including Providence Health; captures PROs via conversational AI pre-visit; auto-populates EHR intake, triggers clinical protocols, sends personalized AVS (HIMSS 2025)· accessed 2026-05-23
  15. [15]McKinsey Healthcare AI 2025 — pre-visit preparation and intake automation identified as the highest-ROI near-term AI application in ambulatory primary care and APP settings· accessed 2026-05-23
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