What the Data Says About Moonlighting Pay: In-Hospital vs Locums vs Tele

The data says one thing immediately: moonlighting pay is not a single market. It is three overlapping markets with different economics. In-hospital shifts usually offer the lowest posted hourly rate, locums usually posts the biggest number, and tele often sits in the middle or below on gross pay while quietly winning on efficiency. That is the headline. The real story is better.

I have seen physicians chase a locums rate that looked 40% higher on paper, then lose the advantage to airport time, delayed credentialing, unpaid modules, hotel nights, and a contract with soft guarantees. I have also seen a plain in-house weekend shift at a familiar hospital outperform the glamorous option because the physician parked, worked, billed the hours, and went home. No drama. No friction. Better net return.

Posted rates are a lousy way to compare moonlighting. You need a cleaner denominator: net effective hourly pay after time costs, admin burden, cancellation risk, and out-of-pocket expenses.

This article is for educational purposes only and is not financial, legal, or tax advice. Compensation structures, malpractice arrangements, taxes, and regulatory obligations vary widely by employer, state, specialty, and contract, so readers should verify terms with qualified advisors before making decisions.

The Data Landscape: Why Moonlighting Pay Varies So Widely

Moonlighting compensation swings because the underlying labor markets are different. A local internal medicine overnight cross-cover shift is not priced like a rural emergency medicine locums weekend, and neither is priced like asynchronous tele-urgent care. The work, scarcity, setup cost, and urgency all differ. So should the pay.

The main variables are not mysterious:

• Specialty demand: Emergency medicine, hospital medicine, psychiatry, anesthesiology, radiology, and critical care often command stronger moonlighting rates because coverage gaps are expensive.
• Shift type: Nights, weekends, holidays, and last-minute openings carry premiums.
• Credentialing burden: The more hoops required, the more the market has to pay to keep physicians interested.
• Urgency: A shift that must be filled tomorrow pays differently from a recurring shift next quarter.
• Geography: Rural and underserved markets often pay more, but the premium may be partly consumed by travel and workflow inefficiency.
• Malpractice coverage: Claims-made versus occurrence, tail questions, and coverage limits matter. A “high” rate with weak coverage is not a high rate.
• Scheduling flexibility: The more a job lets you plug in only when you want, the more value it may carry even at a lower posted rate.

The expected pay hierarchy is usually straightforward:

1. Locums: highest gross hourly rate
2. Tele-moonlighting: variable, often mid-range to lower gross rate
3. In-hospital moonlighting: typically lower gross rate, especially at your home institution

But net economics are where people get fooled. A locums assignment paying, say, 20% to 60% above your local in-house rate may still lose once unpaid prep time and travel are included. Tele, despite lower gross pay than locums, can beat both when zero commute and dense scheduling convert more of your hour into billable work.

That is the central point. Headline pay is noisy. Net effective pay is signal.

In-Hospital Moonlighting: Lower Headline Rate, Higher Predictability

In-hospital moonlighting is the boring option. That is exactly why it works.

The common structures are simple: a flat hourly rate, a fixed per-shift payment, or an hourly base with evening, overnight, weekend, and holiday differentials. Some departments add surge bonuses for uncovered shifts. Others offer internal premium rates for last-minute needs. The range varies by specialty and training level, but the design is usually transparent. You know the unit. You know the EMR. You know where the call room smells weird. That familiarity has economic value.

The data shows that in-hospital moonlighting wins on compensation stability. Less volatility. Fewer moving parts. Fewer surprises. You typically avoid:

• New credentialing packets every few months
• State licensure expansion
• Travel booking friction
• Hotel and meal logistics
• Re-learning a new documentation system
• Unclear support staff expectations

Those “small” frictions are not small. They erode realized hourly earnings fast.

A physician taking a four-hour evening shift at their own hospital may give up some posted pay relative to locums, but they often preserve more actual income per unit of time because commute is short, onboarding is already done, and the shift fits around the primary schedule with less disruption. If your commute is 15 minutes each way instead of a half travel day, that difference alone can move effective earnings by double digits.

The chart captures the pattern. A moderate posted rate can still produce a strong net effective return because deductions are modest and predictable.

There is another edge here: resource protection. In-house shifts usually come with immediate access to labs, imaging, nursing teams, consult pathways, and IT support you already trust. That lowers cognitive load. It also lowers charting drag. I have seen physicians finish an internal moonlighting shift with charts closed before walking to the parking garage. Try doing that after landing in a new locums site with a different order entry system and an understaffed night team. Good luck.

Where in-hospital moonlighting loses is obvious: lower top-end rate ceiling. If your only metric is gross hourly compensation, it rarely wins. But if your metric is reliable earnings with minimal nonsense, it often does.

Locums: Highest Posted Pay, Highest Friction

Locums dominates the headline-rate conversation because it is built to solve expensive staffing problems. A hospital with a vacancy, a rural service line at risk, or a seasonal coverage gap pays a premium because the alternative is worse. Lost volume. Burned-out permanent staff. Closed beds. Diversions. Cancelled OR time. The market responds with higher rates.

That premium is real. So is the friction.

Why locums pays more:

• Urgent coverage needs
• Rural or underserved geography
• Recruitment failures
• Hard-to-fill specialties
• Higher credentialing complexity
• Temporary staffing risk borne by the physician and agency ecosystem

The trouble is that gross pay and net pay diverge more in locums than in any other moonlighting category.

Here is where physicians routinely underestimate leakage:

• Travel time: flights, long drives, airport delays
• Lodging variability: sometimes covered, sometimes capped, sometimes inconvenient
• Licensing costs: applications, DEA updates, notarizations, background checks
• Credentialing labor: references, case logs, training modules, repeated paperwork
• Malpractice questions: especially if the contract language is sloppy
• Shift instability: assignment changes, reduced volumes, soft minimums, delayed starts
• Cash-flow delay: payment cycles can be slower than internal payroll

A high locums rate can absolutely be worth it. But only after the premium is large enough to compensate for those hidden costs. My view is blunt: if the locums premium is modest, the assignment is often overrated. Physicians romanticize the hourly number and ignore the denominator of total effort.

Geography and specialty matter a lot. Psychiatry, emergency medicine, anesthesiology, radiology, and hospital medicine may see very different locums spreads depending on region. Rural critical access coverage may pay far above suburban equivalent work. Procedural specialties can command striking premiums where call coverage is fragile. But the spread is inconsistent, and contracts are not apples to apples.

The pattern is clear. Gross rates may look outstanding, but travel and credentialing consume a meaningful slice of return. In some assignments, the leak is manageable. In others, it is the whole story.

Locums starts to make strong financial sense under a few conditions:

• The rate premium is substantial, not cosmetic
• Travel and lodging are fully covered or minimal
• Hours are guaranteed in writing
• Credentialing is long-duration enough to amortize the setup burden
• The specialty shortage is real and persistent
• You can cluster shifts to reduce travel inefficiency

For example, a one-off weekend requiring flights, a new license, and an unfamiliar EMR is usually a poor deal unless the premium is dramatic. A recurring monthly block in the same site, with stable volume and covered expenses, is a different story. Then the data often supports locums.

Still, this is the category with the most fantasy in physician compensation discussions. The posted rate is not the rate. Not really.

Tele-Moonlighting: The Efficiency Play

Tele-moonlighting is the cleanest example of why gross rate is an incomplete metric. It often pays less than locums on paper. Sometimes much less. Yet it can outperform because almost every nonclinical drag factor shrinks.

No commute. No airport. No hotel. No badge office. No hunt for parking at 6:45 p.m. while inhaling burnt coffee and regretting your life choices.

That matters.

The data shows tele often wins on time efficiency and schedule elasticity. If you can log in for tightly bounded shifts, or complete asynchronous work in high-density blocks, your proportion of compensated time goes up. Effective hourly income depends heavily on model:

• Synchronous telehealth: scheduled patient visits, more predictable cadence, sometimes lower throughput
• Asynchronous telework: inbox, chart review, messaging, e-consults, protocol-driven evaluations; potentially higher throughput if your documentation speed is strong

This is where tele can quietly become the best option for certain physicians. A doctor who documents fast, works comfortably across remote workflows, and already holds multiple state licenses may extract excellent effective earnings from tele even at a lower gross rate.

It is not universally easy. Tele can produce fatigue of a different kind. Screen fatigue. Back-to-back low-acuity volume. Click-heavy workflows. And if compensation is encounter-based rather than hourly, slow documentation or no-show volatility can hurt.

Who is best positioned for tele?

• Physicians with broad outpatient-compatible scope
• Clinicians with multiple active licenses
• Fast, accurate documenters
• Doctors comfortable with remote triage and protocolized decision-making
• Physicians who need flexibility around family, academics, or primary-job variability

Tele is not the highest-paying category in raw posted dollars. It is often the smartest-paying category for physicians whose scarcest asset is not skill. It is uninterrupted time.

Net Pay Calculator: How to Compare Offers Like an Analyst

You need a formula. Otherwise you are just reacting to marketing.

Here is the practical framework I use:

Net Effective Hourly Pay =
(Total expected gross compensation - direct out-of-pocket costs - tax reserve adjustment - expected cancellation loss) / total time invested

And total time invested means all of it:

• Clinical shift hours
• Commute or travel time
• Credentialing time
• Required modules and onboarding
• Documentation spillover after shift
• Scheduling and communication admin

A workable step-by-step approach:

1. Start with gross pay

   • Hourly, per shift, or per encounter converted to an hourly estimate.

2. Subtract direct costs

   • Travel, lodging, meals not reimbursed, licensing, parking, childcare if incremental.

3. Price your unpaid time

   • If a shift requires 2 hours of onboarding and 1 hour of commute, those hours count. Always.

4. Adjust for cancellation risk

   • If there is a meaningful chance the shift is cut or volume collapses, discount expected earnings.

5. Account for taxes realistically

   • Especially for 1099 work. Gross is not spendable income.

6. Score flexibility

   • A slightly lower-paying shift that fits cleanly into your life may have lower opportunity cost.

7. Compare against the alternative

   • Sleep, board study, family time, primary-job recovery, or protecting your base income.

Here is a simple example.

• Offer A: In-hospital, 6 hours, $150/hour, 30 minutes total commute, no onboarding
• Offer B: Locums, 8 hours, $220/hour, 4 hours travel, 2 hours admin, $150 unreimbursed expense
• Offer C: Tele, 4 hours, $130/hour, no commute, 20 minutes setup

Raw gross says B wins. Net effective math often narrows or reverses that ranking depending on frequency and friction.

Opportunity cost is the piece physicians neglect most. Moonlighting that degrades your primary-job performance is expensive, even if the side shift pays well. A resident who gives up study time for a barely worthwhile shift may be making a bad trade. An attending who burns out and cuts back core clinical time has definitely made a bad trade. The data is not only about wage rate. It is about system performance over time. You are the system.

What the Data Suggests for Different Physician Profiles

Different physicians should make different choices. The numbers support that.

Residents and fellows:
In-hospital moonlighting is often the best value if available and permitted. Lower admin burden, known supervision structure, predictable workflow. For trainees, simplicity beats theoretical upside.

Attendings with limited discretionary time:
Tele often wins. If your binding constraint is time, not demand, zero commute and flexible blocks matter more than a flashy locums rate.

Physicians in high-demand specialties:
Locums can be the earnings leader, especially if you can cluster assignments, negotiate guarantees, and amortize credentialing over repeated work. But the premium must be real. Not performative.

Physicians seeking schedule predictability:
In-hospital is the strongest choice. It integrates best with a stable practice and creates the fewest unpleasant surprises.

Low-admin personalities:
Tele or in-hospital. Locums is paperwork-heavy by nature. If you hate forms, repeated training modules, and recruiter ping-pong, believe your own personality and stop pretending the rate fixes that.

Physicians with licensing constraints:
In-hospital usually wins locally. Tele expands dramatically once you hold multiple licenses. Without that setup, tele opportunities narrow fast.

My recommendation is simple. Rank every offer by net effective hourly pay, predictability, and sustainability. The data shows locums usually wins the billboard. In-hospital often wins the spreadsheet. Tele frequently wins the clock.

That is the real comparison.

The best-paying moonlighting option is not the one with the biggest posted number. It is the one that leaves the most money, time, and energy in your hands after the shift is over.