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PayCrunch AI Playbook · Healthcare

How a telehealth nurse becomes the one who builds the protocol

$213,320top of the range in California · middle $97,550 / yr
High AI exposure

Telehealth Nurses in the United States earn a median of $97,550 a year. Pay starts near $68,940. Pay reaches $213,320 at the top of the range in California, the best-paying state for this work among those with at least 500 people in the job.

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Registered Nurses, SOC 29-1141). Last checked 9 September 2026.

Entry level
$68,940
Top of the range · California
$213,320
Education
Bachelor's degree in Nursing
Lower disruption Higher exposure High AI exposure
Entry · $68,940 Top of range · $213,320 (California) Middle $97,550

Wages — U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Registered Nurses). Top of the range is the highest state-level figure among states with at least 500 people in the job. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.

🆕 New & Trending AI Tools for Telehealth NurseReviewed September 2026

We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Telehealth Nurse work right now.

AbridgeNEWEnterprise / see site

Ambient AI scribe that turns a patient conversation into structured clinical notes.

How a Telehealth Nurse uses it: document a visit automatically instead of charting after your shift

Microsoft Dragon CopilotNEWEnterprise / see site

Voice AI that dictates and drafts clinical documentation (successor to Nuance DAX).

How a Telehealth Nurse uses it: speak your notes and have the chart written and filed for you

Heidi HealthNEWFree / paid tiers

AI documentation tool built around clinician and nurse workflows.

How a Telehealth Nurse uses it: handle shift notes and handovers without manual write-ups

OpenEvidenceNEWFree for verified clinicians

AI that answers clinical questions from current medical evidence, with citations.

How a Telehealth Nurse uses it: check the latest evidence at the point of care in seconds

NotebookLMNEWFree / $7.99 mo

Google tool that answers questions grounded only in the documents you give it — with citations.

How a Telehealth Nurse uses it: load your own manuals, policies, or PDFs and ask questions that stay accurate to the source

SukiEnterprise / see site

AI voice assistant for clinical notes and coding.

How a Telehealth Nurse uses it: dictate notes hands-free and cut charting time sharply

NablaFree tier / see site

Ambient AI assistant that generates notes from the patient encounter.

How a Telehealth Nurse uses it: capture the visit and get a ready-to-review note in seconds

ChatGPTFree / $20 mo

The most-used AI assistant — writing, analysis, research, and images from a plain-language chat.

How a Telehealth Nurse uses it: draft emails and documents, summarize long files, and get instant answers to on-the-job questions

ClaudeFree / $20 mo

AI assistant known for careful writing, long-document analysis, and coding.

How a Telehealth Nurse uses it: analyze big reports or spreadsheets and turn messy notes into clean, finished writing

A headset and a person you cannot touch

Nurse-line supervisors listen for calm in the first sentence. A telehealth nurse does triage and follow-up by phone or video from a clinic, a health system’s nurse line, or a similar remote desk. The caller has a fever, a post-operative worry, a medication mix-up, a child who will not stop coughing, chest tightness, or a question the portal could not settle. You are the registered nurse who decides what happens next: home care advice inside a protocol, a same-day clinic visit, a message to their own clinician, or an emergency department now. The shift is a queue. Each encounter has to end with a disposition you can defend.

Phone work is voice, history, and protocol. You confirm who you are speaking with and whether you may talk about the patient. You learn onset, severity, what they have already tried, medicines, pregnancy, chronic illness, and the one symptom they are minimizing. Video adds a picture: work of breathing, a rash, color, how a person is sitting, a wound they can show the camera. You still cannot lay a hand on the abdomen or trust a home device you did not calibrate. You say what you can see and what you cannot, and you choose the safer disposition when the picture is thin. Documentation is the visit. If it is not in the record, the next clinician has nothing but the caller’s memory.

The people on the other end are patients, parents, and sometimes facility staff calling about a resident. Behind you are protocols written by medical leadership, a physician or advanced practice colleague you can reach when the protocol stops, and a queue that keeps moving. Clinic-based telehealth may be follow-up for your own practice’s patients: a blood pressure check by video, teaching after a new diagnosis, a post-discharge call. A nurse line is more often strangers and urgency sorting. Both use the same nursing license to practice. The tempo and the relationship differ. Know which seat you are applying for. A clinic video visit often has a chart you can read first: the recent discharge, the medication list, the reason the clinician asked for follow-up. You confirm the patient can see and hear you, you ask them to show the incision or the home device if that is the point of the visit, and you end with what they will do today and who they will call if the plan fails. A nurse-line call starts colder. You may have only a name and a symptom. Your opening still has to reach the dangerous possibilities quickly, then slow down for the advice once those are set aside. Mixing the two styles, a leisurely clinic chat on a chest-pain call, or a rushed triage script on a scheduled teaching visit, is how this work goes wrong. Name the seat in your examples so a supervisor can hear that you know the difference.

Assessment when your hands stay on the desk

What changes in this job is assessment without hands. In a clinic room you would touch, listen with a stethoscope, and watch a walk across a real floor. Here you build the picture from speech and, when you have it, video. You ask the caller to describe the symptom in their own words, then you tighten the history: when it started, what makes it worse, associated symptoms the protocol cares about, red flags you are not willing to miss. You have them count a breathing rate if the protocol calls for it and they can do it safely. You look at the rash in decent light. You notice when the story keeps changing or when a parent’s panic is outrunning the child’s appearance, and you also notice the reverse, the too-calm caller who is describing something dangerous.

Disposition is the decision. Home, with specific advice and a clear reason to call back or go in. Clinic or urgent care today. Emergency services now, and you stay on the line when the protocol says to. Message the primary clinician for a problem that can wait and must not be lost. You do not diagnose beyond your nursing role, and you do not let a protocol become an excuse to ignore what you heard. If the words and the video disagree, you believe the more concerning one and you document why. Supervisors can audit these calls. Hire the habit of a clean rationale, because “I just felt like it” will not survive that audit.

The emotional work is real and easy to fake in an interview. Callers are scared, rude, or calling from a car. You slow your voice without wasting the red-flag screen. You handle silence. You involve an interpreter when you need one rather than guessing through a family member on a sensitive problem. You protect privacy on a video call: who else is in the room, whether the patient can speak freely, what you will not discuss on speaker in a public place. A telehealth nurse who is kind and vague will send the wrong people home. A telehealth nurse who is brisk and protocol-bound without listening will send everyone to the emergency department and still miss the caller who needed a different door.

Hands-off, still an assessment

You are deciding disposition from a history and, sometimes, a camera. Say what you could not examine. Choose the safer next step when the picture stays thin, and write the reason.

The same state RN licence, at a distance

Telehealth uses the same state registered nurse licence as bedside work. the education the board requires and the NCLEX-RN come first; the state board of nursing is the body that then issues the licence. That licence is what authorizes the assessment, the advice inside your nursing scope, and the triage decision. Nothing about a headset creates a separate national telehealth licence, and you should not let a job posting imply that one exists to chase. Employers still require a current RN licence for the practice they are assigning. If the patients are in a state, the employer and the board’s rules decide which licence must be on file. Your task is to hold the licence they require before you take a call, and to ask which states that means rather than guessing from a recruiter’s slide.

Preparation is bedside or clinic nursing first, then the employer’s telehealth orientation: the protocols, the documentation system, the way you reach a collaborating clinician, and the dispositions your organization allows a nurse to make. A new graduate may be a poor fit for unsupervised triage even with a fresh licence, because the job assumes you already know what sick looks like. I would rather hire a nurse who has assessed real patients in person and is learning the camera than a nurse who has only practiced scripts. The licence gets you in the door legally. Pattern recognition gets you through the queue safely.

What a nurse line hires for

I hire for judgment I can audit. Tell me about a patient you sent to the emergency department and why, in concrete findings. Tell me about a patient you kept at home and what you told them to watch for. Tell me about a time the story was incomplete and what you did. I listen for red flags you will not negotiate: chest pain, trouble breathing, stroke signs, a newborn who is hard to wake, bleeding, suicidal intent. You can name those without turning the interview into a lecture. I ask how you sound when the caller is angry. The answer should include finishing the safety screen, not winning the argument.

Applications come from health-system nurse lines, insurer and clinic call centers, and offices that added video visits. Say whether you want triage of strangers or follow-up of a known panel. Say the hours you will work, because nights and weekends are when nurse lines earn their keep. Computer comfort matters: you will document while you listen, and you will use the protocol in front of you rather than from memory. Ask how quality review works and how often a nurse is pulled off the queue to talk through a hard call. Ask who is available when a protocol does not fit. A site with no one to call is asking you to practice alone in a way you should decline.

Bring the state licence and be ready to discuss any additional state the employer names. Describe your bedside background in one tight story so I know you have seen sick people, then spend the rest of the interview on remote assessment. References should speak to triage, telephone advice, or at least to calm prioritization in a busy clinic. Charm on camera is optional. A defensible disposition is not.

After the first remote seat

The first telehealth job teaches you one organization’s protocols and one documentation system. After that, nurses become the person who reviews difficult calls, precepts new hires onto the queue, or helps rewrite a protocol that keeps failing in real conversations. Some move from a general nurse line into a specialty line, such as obstetrics advice or oncology symptom calls, still as a registered nurse using protocols. Some go back to a clinic and take the video-visit portion of a practice they already know. Some supervise the desk.

Growth looks like fewer panicked over-referrals and fewer risky under-referrals, which you can only see if you let someone audit you. Keep the licence current for every state the job requires. Technology will change. The disposition decision will not. The nurses who last are the ones who can be warm in a short call and still send a stranger to the emergency department when the history demands it.

A nurse-line offer on the nurse chart

A nurse-line offer belongs on the broad registered-nurse market reported in the May 2025 Occupational Employment and Wage Statistics for Registered Nurses, headset included. Entry is $68,940. The national median is $97,550. The gap is $28,610. Remote work does not invent a separate wage scale in these figures. A nurse new to triage but solid at the bedside may see an offer between entry and the median while they learn the protocols. A nurse who already makes defensible dispositions, works the nights the queue is heaviest, and precepts others should talk from $97,550 upward. Ask the employer to show where their number sits on that span.

If you must live in a particular state, or the employer ties pay to one, use the state median as typical pay there. California’s median is $140,270, which is $42,720 above the national median. The same kind of typical-pay figure is $136,320 in Hawaii, $129,010 in Oregon, $124,200 in Washington, and $109,480 in Alaska. The high end published in California is $213,320, for a state you can point to on this page, and that high end stands $115,770 above the national median. It is the top of the published California range, a different figure from California’s $140,270 median. Puerto Rico’s median is $39,880. A remote job that lets you live anywhere still has to name the wage. Compare that wage with the national median, and with the state median if they are paying as if you sat in one of those states.

Negotiate the work, not the romance of working from home. You are selling triage judgment and documentation that can be audited. That is registered-nurse practice, so $97,550 is a fair national reference and $68,940 is the entry end if they are truly training you from the start. Ask whether nights, weekends, bilingual skill, or charge of the queue change the base, and get the base in writing. If the offer leans on the California high end of $213,320 while the job is an ordinary nurse-line seat, bring the conversation back to the median that matches the market they are actually in. If they offer entry pay for independent triage with no one to call, point to the $28,610 between entry and median and ask what support is included.

Accept the seat when assessment by voice and video fits you and the salary sits honestly against $97,550, with the relevant state median beside it if the offer is built from one of the states listed here.

The top of Telehealth Nurse pay — and how to get there with AI

$213,320what Telehealth Nurse pay reaches in California

Highest state-level top-of-range annual wage for Registered Nurses, among states with at least 500 people in the job. U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.

And the role it leads to — Nurse Practitioners — reaches $240,830 in California.

$68,940entry$97,550middle$213,320top end

Handling calls well keeps a telehealth nurse comfortably mid-range; writing the escalation criteria, documentation templates and teaching scripts the rest of the unit works from is what carries you to the top of it.

Remote assessment is harder than bedside assessment because you have no hands on the patient. You are monitoring and reporting changes in a condition through description alone, modifying a plan as the patient responds, and instructing a family on disease prevention with nothing but your voice and a screen. Nurses who reach the top of the range stop treating each of those as a one-off. They build the reusable version: a structured note in Epic Systems that captures what a physician will actually ask about, a set of red-flag questions for the three complaints that fill the queue, a plain-language teaching handout that families keep. Claude or Gemini will draft the handout at a sixth-grade reading level; your judgement decides what belongs in it.

Your playbook, by where you are now

Just startingMake every call leave a usable record

  1. Build your own note template for the five complaints you see most, so vital signs and reported symptoms land in the same order every time.
  2. Learn where the previous documentation actually lives in Epic Systems or MEDITECH, and read it before the call rather than during it.
  3. Keep drug guide software open on a second screen and confirm every interaction question out loud instead of promising to call back.
  4. Write down the calls you escalated and what the outcome was, so you learn where your threshold is set too high or too low.
  5. Ask a clinician you trust to review a week of your notes for what a receiving provider would have wanted and did not get.

What proves it: A note template a supervising provider prefers to the default one.

Realistic span: the first eighteen months

A few years inTurn your judgement into the unit's protocol

  1. Draft escalation criteria for one complaint category and take it to the medical director for signature, not for discussion.
  2. Write the patient teaching scripts for the conditions your queue repeats, and have a model produce a translated and simplified version you then verify line by line.
  3. Learn diagnostic and procedural coding software well enough to see how your documentation becomes a bill, and where it fails.
  4. Track call volume and outcomes in Microsoft Excel so staffing arguments have something behind them other than everybody feeling busy.
  5. Take the shift that trains new remote nurses, and use your own templates as the training material.

What proves it: A signed escalation protocol in use across the unit with your name on the revision history.

Realistic span: years two through six

ExperiencedRun the program, then widen your licence

  1. Take ownership of a chronic disease programme end to end, including the outreach that plans improvement for a whole patient population rather than one caller.
  2. Sit on the committee that chooses or configures the remote platform, so the workflow is built by someone who has used it at two in the morning.
  3. Hold multi-state licensure so you can take the highest-paying employer rather than the nearest one.
  4. Move toward a nurse practitioner qualification; remote work rewards the licence that lets you decide rather than relay.
  5. California pays registered nursing better than any other state, and remote roles there hire beyond commuting distance.

What proves it: A programme you designed, with enrolment and outcome figures you can present.

Realistic span: year seven onward

The next 90 days

Over the next ninety days, pick the single complaint that fills more of your queue than anything else and build the complete kit for it. Write the assessment questions in the order a remote nurse should ask them. Write the red flags that end the call with a transfer. Write the teaching text a worried family can read afterwards, then check every word of it against your organisation's approved patient education material. Use it yourself for a month and correct it as calls expose gaps. Then hand it to two colleagues and ask them to use it too. Nothing marks a nurse for promotion faster than a tool other nurses adopt because it makes their shift easier.

Wage figures: BLS OEWS, May 2025. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.

Careers related to Telehealth Nurse

Similar pay, same field

Where this can lead

Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.

Never used AI before? Start here (2 minutes).

Start with the triage protocol engine you already use, and get faster and safer inside it. Structured tools like ClearTriage or TriageLogic (built on the Schmitt-Thompson protocols) are your source of truth for disposition. Learn to move through them quickly and document defensibly — because in a role AI is actively encroaching on, the nurse who is both fast and airtight on protocol is the one who keeps and grows the seat.

For learning and prep only (never patient data), use ChatGPT or Claude to drill triage reasoning and build patient-education scripts, and Perplexity to track state licensure and telehealth rules. Consumer AI is your tutor and drafting partner — it never touches PHI and never makes the triage call.

The one rule, forever: Telephone and virtual triage is high-liability: you decide care level without laying hands on the patient. Never let an AI symptom checker make the disposition — the licensed nurse owns the triage decision, following approved protocols and erring toward safety. And never paste a patient's name, complaint, or any identifier into a consumer AI tool; use only your employer's HIPAA-compliant systems.
The plays — exact steps, exact prompts

Do these in order. Each one is copy-paste ready. You do not need to know anything about AI going in.

1
Triage faster and more defensibly than any AI symptom checker
Why this pays: In a role AI is encroaching on, the nurses who keep and grow the best-paid seats are the ones who move through protocols quickly and document bulletproof dispositions — safety plus speed is your job security and your leverage.
ClearTriageTriageLogicChatGPT
1
Master your protocol engine — ClearTriage or TriageLogic (Schmitt-Thompson) — so you reach the right disposition and worst-case-first questioning quickly and consistently.
2
Drill triage reasoning between calls with an AI scenario partner.
Copy-paste this prompt
You are a telephone-triage instructor using worst-case-first, protocol-driven reasoning. Give me one hypothetical caller at a time (age, chief complaint, brief history for [chest pain / abdominal pain in a child / postpartum bleeding / headache]). Ask me which protocol I would open, my key questions, and my disposition (911, ED now, urgent care, home care). Then critique my safety, my questioning order, and my documentation. Hypothetical only.
Practice only. Real dispositions follow your approved Schmitt-Thompson protocols and your judgment, erring toward safety — never an AI's suggestion. No patient data.
3
Refine a documentation habit that captures the protocol used, the questions asked, and the safety-netting advice given, so every call is defensible.
What you'll haveFast, protocol-perfect, well-documented triage — the performance that keeps you ahead of automation and in the best-paid seats.
2
Clear the patient-message inbox at double speed
Why this pays: Portal-message volume is crushing and is often what caps a telehealth nurse's caseload; the nurse who handles it fast and safely can carry more patients or more programs — the capacity that supports higher pay.
Epic In Basket (AI drafts)Microsoft Dragon CopilotChatGPT
1
Where your system offers it, use Epic In Basket AI-drafted replies (or your EHR's equivalent) as a starting draft for routine patient messages — then verify, personalize, and edit every one before it goes out under your name.
2
Build a library of reusable, plain-language response templates for your most common message types (no patient data).
Copy-paste this prompt
Draft 8 reusable patient-portal message templates at a 6th-grade reading level for a primary-care telehealth nurse: medication-refill instructions, normal versus follow-up lab result explanations, appointment and referral guidance, and self-care for a minor cold or UTI symptoms with clear return-precautions. Leave bracketed blanks for specifics and keep them warm and clear.
Templates only — a clinician must confirm any clinical specifics and match the patient's actual chart. No identifiers in the tool.
3
Escalate anything outside protocol to the provider; use the speed you gain on routine messages to take on the higher-value work.
What you'll haveA message inbox handled in a fraction of the time — the capacity to carry more patients and step into program roles.
3
Go multi-state with compact licensure to unlock the best employers
Why this pays: Many top-paying virtual-care employers require nurses licensed in many states; holding a compact (multistate) license and adding key non-compact states makes you eligible for the highest-paying remote roles.
PerplexityChatGPTNCSBN resources
1
Confirm your compact eligibility and map the states the best employers want, using Perplexity and NCSBN Nurse Licensure Compact resources.
2
Have AI build your licensure plan and track it.
Copy-paste this prompt
Act as a nurse-licensure planning assistant. My primary state of residency is [state] and I hold a [compact / single-state] RN license. I am targeting telehealth employers that require licensure in [list states]. Build a checklist of which of those states are covered by my compact license, which require separate licenses, the typical application steps and documents for the non-compact ones, and a sensible order to pursue them.
Verify every requirement on each state board's official site — licensure rules change and are legally binding. AI organizes the plan; the boards are the authority.
3
Add the highest-value non-compact states first and keep a renewal calendar so a lapsed license never costs you a role.
What you'll haveA multistate license footprint that qualifies you for the top-paying virtual-care employers.
4
Move into chronic-care management and remote-patient-monitoring programs
Why this pays: CCM and RPM are billable, growing programs that health systems are expanding; nurses who run them well move into coordinator and program-lead roles that pay above frontline triage.
ChatGPTClaudeRPM platforms
1
Learn the CCM and RPM model — enrollment, monthly care-plan management, device-based monitoring, and the documentation that supports billing — and position yourself for a program role.
2
Use AI to design a repeatable, patient-friendly program workflow.
Copy-paste this prompt
Act as a chronic-care-management program designer. Draft a monthly workflow for an RN running a [hypertension and diabetes] remote-monitoring program: the enrollment conversation, the cadence of check-ins, the readings and thresholds that should trigger nurse outreach or provider escalation, the coaching talking points at a 6th-grade reading level, and the documentation elements that support CCM/RPM billing. General template only.
A workflow proposal to validate with your compliance and billing teams — coding and clinical thresholds must match your program's protocols. No patient data.
3
Pilot the workflow, track enrolled-patient outcomes and engagement, and use the results to move into a program-lead role.
What you'll haveA role running a billable CCM or RPM program — the growth niche that pays above frontline triage toward $213,320.
5
Build a patient-education and coaching content engine
Why this pays: Telehealth is teaching at a distance; the nurse who produces clear self-care and coaching materials at scale drives better outcomes and becomes the care-coordination and program candidate.
ChatGPTClaudeCanva
1
Generate a library of plain-language, multilingual self-care and coaching materials for your patient population.
Copy-paste this prompt
Create a set of short patient self-care guides at a 6th-grade reading level for a telehealth nurse's common calls: fever and hydration in adults, managing a UTI while awaiting care, home blood-pressure monitoring technique, and when each situation warrants urgent or emergency care. Keep each to one screen, warm and clear, and add Spanish versions.
Have a provider confirm clinical specifics and match your protocols; deliver only through approved channels with no patient identifiers in the tool.
2
Lay them out in Canva, share them through your approved patient-communication channels, and track which reduce repeat calls.
What you'll haveScalable teaching that improves outcomes and repeat-call rates — the record that earns the coordination and program roles.
Your 12-month sequence to the top of the range

How the plays above stack into a path from median pay toward the $213,320 tier.

Month 1
Get fast and airtight in your triage protocol engine; build reusable portal-message and self-care templates.
Months 2-3
Map and begin adding multistate licensure; drill triage reasoning daily with an AI partner.
Months 3-6
Learn the CCM and RPM model and pilot a program workflow; apply to higher-paying multistate employers.
Months 6-12
Move into a CCM/RPM or care-coordination program-lead role and document your outcomes for the next step up.
Gear for this job

As an Amazon Associate, PayCrunch earns from qualifying purchases. Links to books and tools are for the job on this page; we only recommend what we’d use in the work.

Wong / Wong, The First Days of School, 5th ed.

Same live Harry K. Wong Publications 5th already on elementary-teacher / high-school-teacher / kindergarten-teacher / middle-school-teacher / preschool-teacher / teacher-assistant / online-tutor / esl-teacher / art-teacher / foreign-language-teacher / reading-specialist / ged-instructor / montessori-teacher / tutor / dance-instructor / teacher-k-12 / professor / seminary-professor / educational-psychologist / debate-coach / instructional-coordinator / learning-disability-specialist / teaching-fellow / children-s-librarian / nanny / student-advisor / art-therapist / spa-manager / admissions-director / pharmaceutical-sales-rep / school-bus-coordinator / restaurant-general-manager (ASIN 0976423383). This leftover page is BLS Registered Nurses (SOC 29-1141); title is Build What the Unit Runs On; H1 is How a telehealth nurse becomes the one who builds the protocol; the playbook centers writing the teaching scripts the rest of the unit works from, taking the shift that trains new remote nurses and using your own templates as the training material, plus patient-education teaching handouts at scale; play 5 is Build a patient-education and coaching content engine; start-here is Start with the triage protocol engine you already use; one-rule is Never let an AI symptom checker make the disposition — the licensed nurse owns the triage decision. Classroom-management staple for leftover unit / teaching-script / instructional-delivery work — not leftover Lemov as the lead (that is music-producer / hospital-administrator / dean) and not leftover Praxis as a dump. Confirm 0976423383. Live page HTTP 200, no PC_GEAR / amazon.com/dp / tag=paycrunch-20 at 2026-09-18 4:45 AM PT. Source page: ged-instructor.

Next steps for a Telehealth Nurse

Some links below are affiliate or partner links. PayCrunch may earn a commission if you enroll or subscribe through them, at no extra cost to you. Wage figures on this page still come from the Bureau of Labor Statistics, not from these programs.

Telehealth Nurse work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Registered Nurses (SOC 29-1141). O*NET Job Zone 4 is typical: a bachelor's degree, so the honest next credential is a professional certificate or bachelor's-level coursework — not a random catalog dump.

The occupation's listed knowledge areas include Psychology and Therapy and Counseling; the links search those subjects, not a generic 'career courses' list.

Telehealth Nurses in this dataset list Epic Systems among the tools in use, so a program that names that stack is a better fit than a survey course.

Nursing programs on Coursera for Telehealth Nurse work

Coursera search for nursing — a professional certificate or bachelor's-level coursework that lines up with healthcare, not a generic professional-development aisle.

Nursing courses on edX

edX search for nursing, aimed at healthcare (SOC 29-1141). Same field as the Coursera link, different university catalog.

Screened remote and flexible Telehealth Nurse listings on FlexJobs

FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Telehealth Nurse work, not a claim that they list a counted SOC 29-1141 inventory.

Build a Telehealth Nurse resume on Resume Now

Write a Telehealth Nurse resume, or one aimed at Nurse Practitioners, instead of a blank template. Resume Now is a resume builder; we are not claiming a counted template set for this SOC.

Build a Telehealth Nurse resume on Zety

A Telehealth Nurse resume that names the actual tasks on this page, or the step-up title Nurse Practitioners, beats a blank template when you apply.

What Telehealth Nurses earn by state

These are the Bureau of Labor Statistics’ own figures for Registered Nurses, state by state — not a cost-of-living adjustment applied to the national number. Only states employing at least 500 people in the occupation are shown, because a state median drawn from a handful of workers is noise rather than a signal.

California
$140,270
highest of them · +44% vs the national median
Puerto Rico
$39,880
lowest of the 52 states and territories that qualify · -59% vs the national median
The same job pays $100,390 more a year at the median in California than in Puerto Rico — 252% higher. That gap is what the Bureau measured, before any question of what it costs to live in either place. California also carries the top of this job’s range, $213,320 — the figure quoted at the head of this page.
California$140,270Hawaii$136,320Oregon$129,010Washington$124,200Alaska$109,480New York$109,440New Jersey$106,500Massachusetts$104,550

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, SOC 29-1141. 52 states and territories clear the 500-employee reporting floor for this occupation; those below it are left out rather than shown with a wide error band.

Free data. Use any of it.

PayCrunch publishes verified, BLS-sourced salary + AI-playbook data on 1,000+ professions — free, no signup.

Frequently asked
Will AI replace telehealth nurses?
This is the most AI-exposed nursing role, and it deserves an honest answer: AI symptom checkers and chatbots already do first-pass triage, so the routine, low-acuity end of the work is genuinely being automated. But a licensed nurse still owns the disposition and the liability, handles the ambiguous and high-risk calls, and provides the human judgment and reassurance patients need. The nurses who thrive are the ones who use AI to go faster and move into program roles AI cannot own; the ones who only answer routine questions are the most exposed.
Is it safe to use ChatGPT for telehealth triage?
Not for the triage decision, and never with patient data. Consumer AI cannot make a disposition and must never see identifiers. Use your approved Schmitt-Thompson protocol engine for triage, and reserve AI for drilling your reasoning off the clock and drafting non-patient templates.
How does AI actually raise a telehealth nurse's pay?
By raising your capacity and qualifications. AI-assisted message drafting and faster triage let you carry more patients safely, and the time and confidence it frees help you add multistate licensure and move into billable CCM and RPM program roles — the steps toward $213,320.
Why does multistate licensure matter so much?
The best-paying virtual-care employers hire nurses who can legally practice across many states. A compact license plus a few key non-compact states widens the set of employers you qualify for, which is one of the most direct ways to raise your pay in this field.
What is the safest way to use an AI-drafted patient message?
Treat it as a first draft only. Verify every clinical statement against the patient's chart and your protocols, personalize it, and take full responsibility for what goes out under your name — the same standard you would apply to anything you sign.
Methodology & sources
  • Salary (median, 10th, top of the range) — U.S. Bureau of Labor Statistics, OEWS.
  • By state — the Bureau of Labor Statistics’ own state medians, limited to states employing at least 500 people in the occupation. No cost-of-living arithmetic is applied to a wage anywhere on this page.
  • The plays — PayCrunch's own step-by-step guidance using publicly available AI tools. Tool names/URLs are real and current as of August 2026; prompts written to work as-is. Verify any professional output before relying on it.

Sources