$89,650estimated top of the range · middle $47,180 / yr
AI is transforming this role
Health Information Technicians in the United States earn a median of $47,180 a year. Pay starts near $30,000. The top of the range is estimated at $89,650. The Bureau of Labor Statistics does not publish a separate wage series for this exact title, so this figure is derived from the closest occupation it does track and is labelled an estimate.
Source: PayCrunch estimate. Last checked 9 September 2026.
Entry level
$30,000
Top-end estimate
$89,650
Education
Associate's degree
Wages — PayCrunch estimate. The Bureau of Labor Statistics does not publish a separate wage series for Health Information Technician; figures are derived from the closest occupation it does track and are labelled as estimates. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.
🆕 New & Trending AI Tools for Health Information TechnicianReviewed September 2026
We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Health Information Technician work right now.
AbridgeNEWEnterprise / see site
Ambient AI scribe that turns a patient conversation into structured clinical notes.
How a Health Information Technician 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 Health Information Technician 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 Health Information Technician 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 Health Information Technician 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 Health Information Technician 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 Health Information Technician 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 Health Information Technician 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 Health Information Technician 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 Health Information Technician uses it: analyze big reports or spreadsheets and turn messy notes into clean, finished writing
A chart that has to be both complete and careful
A health information technician lives in the record. The patient may never see you, and the clinician may only know your name from a message about a missing note. Your day is the chart: what was documented, what is incomplete, who is allowed to receive a copy, and whether the story in the file is clear enough for the people who must rely on it. Hospitals, clinics, and specialty groups all keep this seat. The software changes. The duty does not. If the record is wrong, late, or sent to the wrong person, the rest of the building feels it.
You work a queue. New documents arrive from a scan room or from an electronic feed. You match them to the right patient, the right visit, and the right part of the chart. You notice a duplicate, a page that belongs to someone else, or a note that never got signed. You send the problem back to the desk that can fix it, with a plain description, not with a guess. Speed matters because clinicians and billers are waiting. Accuracy matters more, because a fast file in the wrong chart is a serious event, not a small clerical miss.
The people around you are coders, clinicians, registration staff, the privacy office, and the patient who called about their own record. You are the hinge. A coder needs the note to say what happened. A clinician needs the message to be specific enough to answer. A patient needs a human who can explain how a request moves, without dumping a stack of jargon on them. Technicians who treat every caller as an interruption stay in the back of the queue. Technicians who can be clear, and still protect the file, become the person the office trusts.
Coding conversations and the release desk
Coding conversations are part of the week even when you are not the coder. A coder may ask whether a note supports the visit they see in the schedule. A clinician may ask why a chart was sent back. Your role is to point at what is in the record and what is missing, and to carry that message without inventing a clinical fact. You do not assign a diagnosis to make a bill easier, and you do not coach anyone to write a story the visit did not contain. The conversation is about clarity. If the note is thin, the clinician is the one who can thicken it. You are the one who noticed.
Release of information is the other half of the title. A request arrives from a patient, from another provider the patient asked you to inform, or from a payer or a lawyer with paperwork attached. You read what was asked, you compare it with the authorization in front of you, and you send only the portion that authorization covers. You log what left the building, on what date, and to whom. When the paperwork does not match the request, you pause and use the office's path for a denial or a clarification. That pause is the job. Helpfulness that skips it is how records end up where they do not belong.
Electronic records change the furniture, not the duty. You may never touch paper, and you may still spend the afternoon matching a scanned outside record to the right visit, or explaining to a clinician where a note sits in the system. Downtime procedures, when the system is dark, are part of training because the hospital does not stop. Learn them before you need them. A technician who can only work inside a happy screen is stuck the day the screen fails, and that day is when the file is easiest to misplace.
Some days are almost entirely one desk or the other. A large hospital may split assembly, analysis, coding support, and release into different chairs, then rotate new technicians through them. A clinic may ask one person to do all of it between phone calls. Read the posting for the verbs: assemble, analyze, release, code, or abstract. A posting that is only phone scheduling is a different occupation that happens to sit nearby. Apply for the record, not for the building's name.
Clarity, then the send
Coding conversations stay inside the record that exists. Release of information stays inside the authorization that exists. Both desks reward the person who pauses when the paper and the request disagree.
The credential a records office recognizes
Many departments look for a health information credential from the American Health Information Management Association, whose site is ahima.org. The association grants the credentials it currently offers. A credential of that kind shows you finished the education and the other requirements the association set for health information work. It does not grant you permission to decide a legal dispute, and it does not make you a clinician. People prepare through a health information program at a college the employer respects, then through whatever pathway the association lists at the time you apply. Read that pathway on the association's site. A printed flyer in a break room goes stale.
Some postings ask for a coding credential instead of, or beside, a records credential, because the chair leans toward coding conversations all day. Others will hire a graduate of a health information program and train the release desk in house. Ask which document the hiring manager actually needs in hand on day one, and which they will help you earn. A hospital that says "we will train release" and then leaves you alone with a queue is a different promise from a hospital that pairs you with a lead for a defined stretch. Get the pairing in the offer if you are new.
Privacy rules govern who may receive a chart. You follow the procedure your privacy office already wrote. You do not invent a personal interpretation when a caller is upset, and you do not cite a favorite summary from the internet as if it were your policy. If a request is unusual, a research project, a family conflict, a celebrity name, you take it to the privacy officer. The credential helps you recognize that the moment has arrived. The officer decides the hard case. Technicians who play lawyer in the hallway create the incidents the officer then has to unwind.
From the scan room to a lead chair
The path often starts in a clerical seat: scanning, indexing, or pulling files for a clinic that still has paper in a back room. You learn the chart order and the habit of checking two identifiers before you file anything. From there a technician seat adds analysis and release. A lead watches the queue, trains the next hire, and is the person coders call when a pattern of thin notes keeps returning. Some technicians move into a coding chair, a privacy analyst role, or a vendor job teaching the electronic record. Each move wants the same instinct for the file, plus a willingness to leave the queue you already know.
A coding move is a real fork, not a promotion you are owed. It asks for a deeper credential and for comfort with clinician pushback. A privacy move asks for calm when someone powerful wants an exception. A supervisor move asks for scheduling and for the patience to review other people's work without turning the office sour. Look at the leads you respect and notice which fork they actually took. Copy the fork, not the title. A supervisor who misses the file will not stay a good supervisor, no matter how tidy the staffing sheet looks.
If you are coming from outside healthcare, a medical office, a registry, or a bank's document desk is closer than a general retail job, because you already understand confidential paper. Say that plainly. Then expect to learn a chart, a vocabulary, and a release process you do not know yet. The hiring manager can teach the software. They hope you already know how to slow down when two names look alike. That hope is the bridge in your application. Write it as a scene from your old job, with the outcome, not as a list of traits.
How a department decides you can hold the file
The application should name the systems you have touched and the desks you have covered: assembly, analysis, release, or coding support. A certificate with no desk attached is weaker than a shorter resume that says you released records under a lead for a year. If a school project is your only sample, label it as a project. Managers in this field lose trust quickly when a student project is written up as employment. Bring the credential you hold, or the date you expect to finish, and do not move that date in the interview.
You may be asked to walk through a fictional request. They are listening for the pause. Will you send the whole chart because the caller sounds official, or will you match the request to the authorization and ask a lead when it fails to match? Will you notice two patients with similar names? You do not need to perform legal analysis. You need to show that the file's boundary is more important to you than being liked on the phone. A calm "I would stop and check" beats a fast wrong answer.
Ask who reviews your releases in the first months, how coding conversations are routed, and whether the queue is staffed on weekends. Ask what a normal backlog looks like, because a heroic backlog is sometimes a sign the department is several people short. Pay belongs in the same conversation. A salary near the entry estimate in the next section, with mandatory weekends and no training partner, is a different offer from the same salary beside a lead who sits with you. Get both the number and the week.
PayCrunch estimates for a title without its own series
The Bureau of Labor Statistics does not publish a separate wage series for this exact title, so the figures here are PayCrunch estimates rather than a published series for the health information technician. Entry is $30,000. The median estimate is $47,180. The estimated top is $89,650. From entry to the median is $17,180. From the median to the estimated top is $42,470. Those gaps are the part you can use. They describe distance inside this estimate. They are not a promise that a hospital will move you on a schedule.
Set an offer beside $30,000 and $47,180 before you accept it. A first technician seat near $30,000 should come with a plain account of how pay can move across the $17,180 gap: a credential finished, a second desk learned, or a lead differential. If the account is only "we will see," you are being asked to hope. An offer already near $47,180 is a conversation about the queue, the weekends, and whether coding conversations or release work carries a differential. The $42,470 stretch from the median to $89,650 is the long part of the estimate. It fits a specialized or lead picture more than a first year at the scan queue.
Do not borrow a number from a different occupation and paste it onto this title. The estimate exists because a separate published series for this exact job is unavailable. Use $30,000, $47,180, and $89,650, and use the gaps of $17,180 and $42,470 when you need to talk about movement. If a recruiter quotes a figure that matches none of those, ask which statistic they mean and what week of work produces it. Write the answer down. A shift differential, a weekend rotation, or a coding credential can change the lived pay. None of those extras appear as their own line in this estimate, so ask for them in the offer rather than assuming they hide inside $89,650.
Bring the same three numbers to a review after you are hired. If you have taken on release and coding conversations and your pay still sits on the entry side of the $17,180 gap, you have a specific sentence to say. If you are near $47,180 and you want the kind of responsibility that might point toward the estimated top, name the lead work you are already doing and ask what the department pays for it. The estimates keep the sentence tied to this title. Your credential, your queue, and the pauses you are willing to make are what make the sentence true.
The top of Health Information Technician pay — and how to get there with AI
$89,650top-end estimate for Health Information Technician
PayCrunch estimate - derived from the closest occupation BLS tracks (Medical Records Specialists, 29-2072). This figure is PayCrunch’s estimate, not a Bureau of Labor Statistics published wage for this exact title.
And the role it leads to — Health Information Technologists and Medical Registrars — reaches $167,650 in California.
$30,000entry$47,180middle$89,650top end
Two health information technicians doing identical record review can sit far apart on this range, and the gap is usually the employer, the credential, and whether the work has to happen inside one particular building.
Reviewing records for completeness, accuracy and compliance with regulations, resolving unclear or conflicting codes with the physicians who wrote them, releasing information within the rules, scanning charts and processing admission and discharge documents: almost none of it requires you physically present. That is unusual in healthcare and it is worth money, because it means holding a post in a market that pays well without living in it. Speech recognition and coding assistance have shifted the balance too. Routine transcription and first-pass coding are increasingly machine output, and employers pay for whoever checks it, queries the doctor and defends the release decision. California pays this occupation above the rest.
Your playbook, by where you are now
Just startingGet accurate, then get credentialed
Learn one record system thoroughly, Epic Systems, MEDITECH software or Allscripts EHR, including how it audits who viewed what.
Take the coding credential your employers actually recognise rather than the cheapest one you can find.
Keep your own accuracy record: charts reviewed, queries raised, corrections found, and how long each took.
Learn the release rules well enough to refuse a request confidently and name the reason.
Treat every ScanSoft Naturally Speaking transcript as a draft to be checked against the chart, never as a finished document.
What proves it: A recognised coding or records credential alongside your own accuracy log.
Realistic span: the first two years
A few years inMake yourself hireable from anywhere
Add a specialty credential, inpatient, surgical or oncology, because specialty work is what employers hire across state lines.
Get fast in 3M Encoder and whatever coding database software your employer runs, and measure charts per hour honestly.
Learn the query process properly: how to ask a physician for clarification in writing without leading the answer.
Ask for one day working from home, then two, and build the output record that makes the argument on your behalf.
Maintain a credential and licence file that lets you apply to an out-of-state employer the week a post opens.
What proves it: A specialty credential plus a documented output rate a distant employer can verify.
Realistic span: years three through six
ExperiencedContract, audit, or relocate
Take contract and per-chart auditing work, where you are paid for the review rather than for attendance.
Move into denial and compliance auditing, which pays above production coding and uses the same record review judgement.
Compare employer types deliberately, since hospital systems, payers, vendors and consultancies price this work very differently.
Consider posts based in California whether remote or not, since it sits at the top of the state list for this work.
Aim at the registrar and health information technologist roles, which are the priced step above this one.
What proves it: A contract or remote post at a rate you negotiated using your own record.
Realistic span: from year seven
The next 90 days
Over the next ninety days, assemble the file that lets you apply anywhere. Start with your own accuracy record, kept weekly rather than reconstructed later: charts reviewed, queries raised, corrections found, time taken. Add the credential you are closest to finishing and book the examination date now rather than when you feel ready. Then read ten remote and contract postings for coding and record review work in other states, and list every credential, system and productivity figure they ask for. That list shows exactly what is missing, and it is almost always one certification and a documented output rate rather than several more years of experience.
Wage figures: PayCrunch estimate. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.
The top of Health Information Technician pay — and how to get there with AI
$89,650top-end estimate for Health Information Technician
PayCrunch estimate - derived from the closest occupation BLS tracks (Medical Records Specialists, 29-2072). This figure is PayCrunch’s estimate, not a Bureau of Labor Statistics published wage for this exact title.
And the role it leads to — Health Information Technologists and Medical Registrars — reaches $167,650 in California.
$30,000entry$47,180middle$89,650top end
Two health information technicians doing identical record review can sit far apart on this range, and the gap is usually the employer, the credential, and whether the work has to happen inside one particular building.
Reviewing records for completeness, accuracy and compliance with regulations, resolving unclear or conflicting codes with the physicians who wrote them, releasing information within the rules, scanning charts and processing admission and discharge documents: almost none of it requires you physically present. That is unusual in healthcare and it is worth money, because it means holding a post in a market that pays well without living in it. Speech recognition and coding assistance have shifted the balance too. Routine transcription and first-pass coding are increasingly machine output, and employers pay for whoever checks it, queries the doctor and defends the release decision. California pays this occupation above the rest.
Your playbook, by where you are now
Just startingGet accurate, then get credentialed
Learn one record system thoroughly, Epic Systems, MEDITECH software or Allscripts EHR, including how it audits who viewed what.
Take the coding credential your employers actually recognise rather than the cheapest one you can find.
Keep your own accuracy record: charts reviewed, queries raised, corrections found, and how long each took.
Learn the release rules well enough to refuse a request confidently and name the reason.
Treat every ScanSoft Naturally Speaking transcript as a draft to be checked against the chart, never as a finished document.
What proves it: A recognised coding or records credential alongside your own accuracy log.
Realistic span: the first two years
A few years inMake yourself hireable from anywhere
Add a specialty credential, inpatient, surgical or oncology, because specialty work is what employers hire across state lines.
Get fast in 3M Encoder and whatever coding database software your employer runs, and measure charts per hour honestly.
Learn the query process properly: how to ask a physician for clarification in writing without leading the answer.
Ask for one day working from home, then two, and build the output record that makes the argument on your behalf.
Maintain a credential and licence file that lets you apply to an out-of-state employer the week a post opens.
What proves it: A specialty credential plus a documented output rate a distant employer can verify.
Realistic span: years three through six
ExperiencedContract, audit, or relocate
Take contract and per-chart auditing work, where you are paid for the review rather than for attendance.
Move into denial and compliance auditing, which pays above production coding and uses the same record review judgement.
Compare employer types deliberately, since hospital systems, payers, vendors and consultancies price this work very differently.
Consider posts based in California whether remote or not, since it sits at the top of the state list for this work.
Aim at the registrar and health information technologist roles, which are the priced step above this one.
What proves it: A contract or remote post at a rate you negotiated using your own record.
Realistic span: from year seven
The next 90 days
Over the next ninety days, assemble the file that lets you apply anywhere. Start with your own accuracy record, kept weekly rather than reconstructed later: charts reviewed, queries raised, corrections found, time taken. Add the credential you are closest to finishing and book the examination date now rather than when you feel ready. Then read ten remote and contract postings for coding and record review work in other states, and list every credential, system and productivity figure they ask for. That list shows exactly what is missing, and it is almost always one certification and a documented output rate rather than several more years of experience.
Wage figures: PayCrunch estimate. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.
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 computer-assisted coding your employer already runs. Most HIM departments now use AI coding engines such as Solventum 360 Encompass (formerly 3M) or coding inside Epic. Treat every AI code suggestion as a draft: read the physician's note yourself, then accept, reject, or edit. You stay accountable for the final coded record — that judgment is exactly what keeps you employed as autonomous coding spreads.
For learning, open ChatGPT or Claude to explain a coding guideline in plain language, and use NotebookLM to turn AHIMA study material into quizzes. Keep everything you paste de-identified — no real patient details, ever.
The one rule, forever: Patient data is protected under HIPAA — never paste medical records, names, MRNs, or dates of birth into a consumer AI tool like ChatGPT. Use only your employer's BAA-covered, HIPAA-compliant systems for anything containing PHI. An AI-suggested code is a draft: you are accountable for coding accuracy and compliance, and a wrong code you accept is your error, not the machine's.
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
Validate AI-assisted coding faster and more accurately
Why this pays: Coder productivity and accuracy directly set your pay, and the auditor who catches what the AI engine misses earns above the coder who just clicks accept. Speed plus a low error rate is the metric that moves you up the band.
Turn on code suggestions in Solventum 360 Encompass or your Epic coding workqueue. Read the clinical note first, then verify each suggested ICD-10-CM/CPT code against the documentation before you accept it.
2
When a code is ambiguous, learn the rule instead of guessing.
Copy-paste this prompt
Explain the ICD-10-CM coding guidelines for [sepsis vs. SIRS] in plain language: exactly what documentation must be present to code it, the key sequencing rules, and the top three errors auditors flag. General coding education only — no patient information.
Use it to understand the guideline, then apply it to the real chart yourself. Never paste actual documentation into a consumer tool.
3
Keep a personal running reference of the tricky codes and payer edits you hit most, so your accuracy climbs every week.
What you'll haveHigher coding accuracy and throughput on every chart — the record that gets you promoted to auditor or senior coder pay.
2
Become the clinical documentation integrity (CDI) bridge
Why this pays: CDI specialists query physicians to make documentation complete and codeable — a specialized, higher-paid HIM role. AI helps you spot documentation gaps and draft compliant, non-leading queries fast, so you can move from coder to CDI.
Use your CDI worklist to find records where the documentation does not support the severity or the code, then verify the gap yourself against the note.
2
Draft a compliant provider query template with AI, then adapt it to your facility's policy.
Copy-paste this prompt
Write a compliant, non-leading physician query template asking a provider to clarify the clinical significance of [an abnormal lab value] for coding purposes. It must offer multiple clinically reasonable options, not lead to a specific diagnosis, and follow AHIMA/ACDIS query practice. Template only — no patient data.
Queries must be non-leading and compliant. Have your CDI lead review your template before use.
What you'll haveThe documentation-improvement skill set that opens CDI specialist roles — a clear step up the HIM pay ladder.
3
Turn health data into analytics dashboards
Why this pays: The real pay jump in HIM is from coder to data analyst. Technicians who can build dashboards on coding, denials, and quality data earn well above the coding band. AI writes the queries and formulas so you can produce analytics without a computer-science degree.
Microsoft Power BIExcelClaude
1
Pick one recurring question your department asks (readmissions, coding productivity, denial rates) and pull a de-identified data export into Excel or Power BI.
2
Have AI generate the formula or query, then verify it against a sample.
Copy-paste this prompt
I have a de-identified dataset with columns [encounter_id, DRG, length_of_stay, coder_id, coding_minutes]. Write the Power BI DAX measures and an Excel formula to show average coding time per coder and coding productivity by DRG, and suggest three charts that would reveal bottlenecks. Explain each formula so I can verify it.
Never load identifiable data into a consumer tool. Build the report in your BAA-covered environment; use AI only for the formula logic on de-identified structures.
3
Publish one clean dashboard for your manager. A technician who delivers analytics gets pulled onto analyst work — where the money is.
What you'll haveA visible analytics skill that reclassifies you from coder toward HIM data analyst, the roles at the top of the $89,650 band.
4
Earn RHIT and a specialty coding cert with an AI study coach
Why this pays: Credentials move you between pay bands. RHIT, and especially specialty certs like CCS or CDIP, unlock inpatient coding, auditing, and CDI roles that pay materially more than uncredentialed coding.
ChatGPTNotebookLMClaude
1
Load the AHIMA exam content outline and your study materials into NotebookLM to generate topic-by-topic quizzes from your own sources.
2
Drill the areas you miss with a tutor prompt.
Copy-paste this prompt
Act as an RHIT/CCS exam coach. Quiz me one question at a time on [inpatient coding and MS-DRG assignment], and after each answer explain the guideline behind the right answer and the common trap. Build a 6-week study plan targeting my weak areas. General education only.
Great for drilling rules; always confirm current guidelines against official AHIMA/CMS sources before an exam.
What you'll haveThe RHIT and specialty credentials that reclassify your role and raise your pay band.
5
Run internal coding audits and denial-pattern analysis
Why this pays: Coding auditors and compliance analysts sit at the top of the HIM technician pay range. Finding the pattern behind denials and coding errors recovers revenue and prevents compliance risk — value a facility pays a premium for.
ExcelPower BIChatGPT
1
Export a de-identified sample of recent denials or audit findings and structure it by denial reason, code, and provider.
2
Use AI to surface the pattern, then verify each finding in the source.
Copy-paste this prompt
Here is a de-identified table of [denial_reason, CPT, ICD-10, provider_specialty, dollar_amount]. Identify the top three denial patterns, the likely coding or documentation root cause of each, and a one-line corrective action for each. Flag anything that looks like a systemic coding error.
AI finds patterns; you confirm the root cause in the actual (de-identified) records before reporting. Keep all PHI out.
What you'll haveAudit and denial-analysis skills that make you the department's compliance asset — and a candidate for auditor and manager pay.
Your 12-month sequence to the top of the range
How the plays above stack into a path from median pay toward the $71,000 tier.
Month 1
Turn on AI code suggestions in your coding workqueue; verify every code against the note and track your accuracy and speed.
Months 2-3
Use AI to master the guidelines behind your most-missed codes and start a personal reference; try drafting compliant CDI-style queries.
Months 3-6
Learn Excel/Power BI with AI-generated formulas and build one HIM dashboard on de-identified data.
Months 6-12
Earn RHIT or a specialty cert (CCS/CDIP) with an AI study coach and move toward CDI, auditing, or analyst work.
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.
Official AHIMA RHIT exam prep, 9th. Not CPT 2026 Professional and not AAPC CPC.
Next steps for a Health Information Technician
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.
Health Information Technician work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Medical Records Specialists (SOC 29-2072). O*NET Job Zone 3 is typical: vocational school, an apprenticeship, or an associate-level credential, so the honest next credential is a certificate, an apprenticeship-aligned course, or an associate-level program — not a random catalog dump.
Health Information Technicians 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.
The next title this dataset points at is Health Information Technologists and Medical Registrars; a credential aimed that way is a clearer step than another year in the same seat.
Coursera search for healthcare — a certificate, an apprenticeship-aligned course, or an associate-level program that lines up with healthcare, not a generic professional-development aisle.
FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Health Information Technician work, not a claim that they list a counted SOC 29-2072 inventory.
Write a Health Information Technician resume, or one aimed at Health Information Technologists and Medical Registrars, instead of a blank template. Resume Now is a resume builder; we are not claiming a counted template set for this SOC.
A Health Information Technician resume that names the actual tasks on this page, or the step-up title Health Information Technologists and Medical Registrars, beats a blank template when you apply.
What Health Information Technicians earn by state
This page does not show a state table, and the reason is worth stating: the Bureau of Labor Statistics does not publish a separate wage series for this job title, so there are no official state figures to show. Scaling the national median by a cost-of-living index would produce a number for every state, but it would be an estimate of living costs wearing a wage’s clothes, and PayCrunch would rather show you nothing than that.
What the national figures say: pay starts near $30,000, the median is $47,180, and the top of the range is $89,650. Those national figures are a PayCrunch estimate, not a Bureau of Labor Statistics published wage for this exact title.
It is replacing the narrowest task — autonomous coding engines now code many straightforward outpatient encounters end to end. But someone has to validate exceptions, handle complex inpatient and CDI work, run audits, protect data integrity, and answer for compliance. The technicians who move up the value chain — auditing, CDI, and analytics — are more secure and better paid than ever; those who only click 'accept' on the easy charts are the ones at risk.
Is autonomous coding going to eliminate my job?
It changes it. Your leverage shifts from coding volume to judgment: catching the AI's misses, coding the hard charts, and turning coded data into audits and dashboards. Learn to supervise the engine and analyze its output, and you become more valuable as it improves, not less.
Can I use ChatGPT with patient records?
No. Consumer AI has no business touching PHI — no names, MRNs, dates of birth, or note text. Use ChatGPT and Claude for general coding education and de-identified data structures only, and do all real coding inside your employer's HIPAA-compliant, BAA-covered systems.
Which certification raises my pay the most?
RHIT is the foundation. The bigger jumps come from specialty credentials: CCS for inpatient coding, CDIP for documentation integrity, or an analytics-focused path. Each opens a role that pays above general outpatient coding.
How does AI actually increase my pay?
It frees time from routine coding so you can do the higher-paid work: auditing, CDI, and analytics. A technician who validates AI coding accurately, catches denials patterns, and builds a dashboard gets reclassified toward analyst and auditor roles — the top of the $71,000 range.
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.