Health Information Management Career Outcomes Survey 2026

Alex Barnes, RHIA, CPHIMS Research design and data accuracy · Reviewed August 2026

Study design

We surveyed across six graduating cohorts rather than a single recent class deliberately. A survey of only the most recent graduates measures first jobs, which tells you almost nothing about whether a credential compounds. Spanning 2020 through 2025 lets early-career progression become visible, including the point at which associate-credentialed graduates typically plateau and what separates those who clear it.

Employment outcomes

91% of graduates found employment within six months of graduating. That is a high figure by the standards of most fields, and it reflects something structural about health information rather than anything flattering about the graduates: the credential maps directly onto defined, staffed roles that employers are actively hiring for, and the accredited degree is the only route to that credential.

Sector context supports the durability of that number. Healthcare employment is projected to grow 13% over the next decade, with health information roles growing faster at 15 to 20%.

Median starting salary by degree level

The pattern worth noting is the declining marginal return. The jump from associate to bachelor is 21%, the largest in the sequence, and it is also the jump that unlocks RHIA and the management track. Every level above that returns roughly 12% to 13% for progressively more time and money. This is the central argument for entering through an accredited associate degree and adding levels only when a specific door requires it.

Career destinations

Read those figures together rather than separately. Health informatics at 26% plus healthcare data analytics at 15% means 41% of graduates went into technology and data work, more than medical coding at 22% and HIM management at 18% combined. That is a substantial shift from how these programs are still positioned to prospective students, and it is the single most important finding for anyone choosing a program in 2026.

Employer-reported skill demand

Electronic health records leads at 78% and medical coding at 72%, which is unsurprising. The actionable finding is data analytics at 65%, because EHR and coding competence are table stakes that essentially every accredited graduate has, while only a minority can independently pull, join, and validate a dataset. Table stakes do not differentiate you. That gap does, and it is the cheapest available advantage in this profession.

Certification requirements

87% of employers required RHIA or RHIT for health information positions. In practice that requirement is enforced by an applicant tracking system matching on a credential string, which means an uncredentialed candidate is filtered out before a human reads the application.

This is why we describe not sitting the certification exam as the most expensive available mistake in this field. The exam costs a few hundred dollars. The credential is associated with roughly $20,000 to $30,000 in additional annual earning capacity, and the mechanism is access to an entire band of roles rather than a pay premium for identical work.

The practicum finding

73% of graduates rated hands-on practicum or internship experience critical or very important to their career. It ranked above school reputation, above degree level, and above every other factor we measured. This was the strongest single result in the study and the one we did not expect to be so decisive.

The mechanism is straightforward once you see it. A practicum in a real health information department produces three things a classroom cannot: familiarity with a live EHR under production conditions, references from people employers will actually telephone, and frequently a direct job offer from the placement site.

This finding is why practicum requirements carry 17% in our Program Quality Index, the second largest factor after curriculum rigor, and why we tell every prospective student to ask one question above all others: does the program arrange placement, or are you expected to find your own site?

How our figures compare to federal data

Our salary figures sit above the federal median and we would rather explain the gap than let it look like inflation. The Bureau of Labor Statistics reports a $51,140 national median for Medical Records Specialists, SOC 29-2072, per BLS Occupational Employment and Wage Statistics, May 2025. State medians in our data range from $27,990 in Puerto Rico to $63,180 in Hawaii.

Three differences account for the gap. That federal occupation blends entry clerical roles with credentialed specialists. It excludes management entirely, which sits under Medical and Health Services Managers. And our population is graduates of accredited programs, who are disproportionately credentialed and therefore not representative of the occupation as a whole. Both figures are correct; they measure different populations, and we publish both rather than the more flattering one.

What this means for you

• Enter through an accredited associate degree if cost or speed matters. It returned $62,000 median starting salary against a total cost often under $12,000.
• Sit the certification exam within six months of graduating. 87% of employers require it and the filter is automatic.
• Choose your program on practicum arrangement above reputation. 73% of graduates said it mattered most, and it outranked every other factor.
• Learn to work with data. 65% of employers call analytics critical and most graduates cannot do it, which makes it the cheapest differentiator available.
• Plan for the technology and data side of the field, where 41% of graduates actually landed, rather than assuming coding is the default destination.

The Program Quality Index study

Alongside the outcomes survey, the HIM Program Quality Index 2026 evaluated 189 US health information management and health informatics programs to develop and validate the seven-factor weighting applied across this site. Our live database currently holds 328 active accredited programs at 287 institutions, with a further 22 recorded as inactive and excluded from all rankings.

Limitations of this research

Every survey has limitations and publishing them is part of publishing the findings. Ours has three worth stating.

Our sample is graduates of accredited programs who responded to a survey, which introduces the self-selection present in all voluntary research. Graduates who are pleased with their outcomes are somewhat more likely to respond than those who are not, which means our employment and salary figures should be read as an optimistic end of a range rather than a population parameter. We have not attempted to correct for this statistically because we would rather report what we measured and tell you its shape.

Second, salary figures are self-reported and unverified against payroll records. This is standard for graduate outcome research and it is a real constraint on precision. Treat the medians as reliable for comparison between degree levels, which is what they are useful for, rather than as exact population values.

Third, our sample covers graduates of accredited programs only. It says nothing about outcomes for people who completed non-accredited certificates, which is a population we would like to measure and currently cannot reach systematically. Given how much of this site argues against those programs, we want to be explicit that the argument rests on the structural credential-eligibility problem rather than on outcome data we do not have.

Use the underlying data

Our accredited program database is published openly so anyone can check our scoring or reuse the records: JSON and CSV. Full scoring detail is on the methodology page, and the salary guide applies these findings to pay by credential, employer type, and state.

Frequently asked questions