2026 Health Informatics Degree Underemployment Report: Which Graduates Are Most Likely to Work Below Their Education Level

How likely is it for Health Informatics graduates to become underemployed?

Health informatics graduates can become underemployed, but their risk depends heavily on how technical, experiential, and employer-aligned their preparation is. Underemployment means working in a role that does not normally require a bachelor's degree or does not use the graduate's health data, information systems, compliance, analytics, or management training.

The clearest national benchmark comes from the Federal Reserve Bank of New York, which continues to show that about 4 in 10 recent college graduates are underemployed. That does not mean health informatics graduates face the same rate, but it signals that a degree alone is not enough protection when employers screen for job-ready skills.

In health informatics, the highest risk group is usually made up of graduates who apply broadly to front-desk, records clerk, patient access, billing support, and call-center jobs because they lack internship experience or do not know how to translate coursework into employer language. The lower-risk group tends to have applied projects in EHR optimization, health data reporting, SQL queries, HIPAA workflows, revenue cycle analytics, or clinical terminology.

The table below separates common post-graduation outcomes by degree use. This helps students recognize whether an entry-level role is a stepping stone or a long-term mismatch.

The practical takeaway is not to avoid every support role. Some hospital access, records, and revenue cycle jobs can help graduates learn healthcare operations. The risk rises when the role does not build measurable technical skills, does not connect to data systems, and has no internal pathway into informatics or health information management.

Is the college curricula for Health Informatics keeping up with employer expectations?

Many health informatics programs teach the right foundations, including healthcare systems, data governance, privacy, medical terminology, statistics, and information management. The mismatch appears when curricula are too broad and do not require students to practice with the tools, datasets, and workflows that employers mention in entry-level job descriptions.

BLS employment projections released in 2024 show strong demand for health information technologists and medical registrars through 2033, but these roles are not purely academic. Employers increasingly expect graduates to understand EHR workflows, interoperability, quality reporting, coding systems, privacy rules, data validation, and practical analytics. A student who has only written papers about these topics may lose out to a candidate who can show a dashboard, SQL project, workflow map, or data-quality audit.

The table below shows where curriculum content often aligns with employers and where students may need to supplement their degree with projects, internships, or certifications.

Students should audit their program against real job postings before senior year. If postings repeatedly ask for SQL, EHR experience, Epic exposure, data visualization, coding systems, HIPAA, or quality reporting, those words should appear in the student's resume through coursework, projects, internship tasks, or certification preparation.

How does underemployment for Health Informatics graduates compare with other majors?

Health informatics sits in a better position than many general majors because healthcare data and digital health infrastructure continue to expand. However, it is not immune to underemployment because many employers separate true informatics roles from clerical health records or administrative support roles.

Compared with majors that have broad business or liberal arts pathways, health informatics offers clearer occupational targets. Compared with nursing, pharmacy, or other licensed clinical tracks, it can be less straightforward because many health informatics jobs do not have one universally required license that forces employers to recognize the degree. Students comparing healthcare education options should understand that clinically oriented pathways, such as a pharmacy degree online, have different credentialing and labor market rules than informatics roles.

The table below gives a practical comparison of underemployment risk by field type rather than pretending that every major has the same job market structure.

The main advantage of health informatics is specialization. The main disadvantage is ambiguity. A graduate who says "I studied health informatics" may be harder for employers to place than one who says "I can build SQL reports from EHR data for quality improvement and privacy-compliant operations."

What is the salary gap between underemployed Health Informatics graduates and those in degree-level jobs?

The salary gap can be significant because low-credential fallback roles often sit closer to medical records or administrative support pay, while degree-aligned roles can connect to health information technology, analytics, management, compliance, or systems work. The exact difference varies by state, employer, experience, certifications, and whether the role is in a hospital, payer, vendor, public health agency, or consulting environment.

BLS 2024 wage data places medical records specialists at a lower median wage than health information technologists and medical registrars, while medical and health services managers sit much higher. For readers comparing role options, Research.com's guide to health information management jobs salary provides a deeper look at HIM career paths and compensation context.

The table below uses national BLS wage categories that commonly overlap with health informatics career decisions. It should be read as role-level labor market context, not as a guaranteed salary for any individual graduate.

The financial implication is straightforward: underemployment may create an earnings drag early in the repayment period. A graduate with student loans who spends several years in a low-credential role may have less room for aggressive repayment, relocation, certification fees, or graduate study. That does not make a support role "bad," but it makes the exit plan financially important.

What barriers force Health Informatics graduates into low-credential roles?

Health informatics underemployment usually comes from a combination of employer screening practices and graduate preparation gaps. Employers may say a role is entry-level but still prefer candidates with EHR exposure, healthcare operations experience, SQL, reporting tools, coding knowledge, or HIPAA workflow experience.

One important trend is skills-based hiring. Employers increasingly use applicant tracking systems and structured job descriptions that prioritize tools, credentials, and measurable experience. A graduate who understands healthcare theory but cannot show applied work may be screened out before a hiring manager reads the full resume.

The most common barriers are connected. A student may lack internships because they did not start early, then lack portfolio evidence because the program did not require applied projects, then accept a support role because their resume does not match analyst postings. The fix is to break that chain before graduation.

These barriers most often push health informatics graduates into low-credential roles:

• No internship, practicum, co-op, or employer-sponsored project before graduation.
• Coursework that covers informatics concepts but does not require SQL, data visualization, EHR workflow, or health data standards deliverables.
• Weak resume language that says "familiar with healthcare data" instead of naming tools, datasets, workflows, and outcomes.
• Limited understanding of the difference between HIM, health informatics, clinical analytics, revenue cycle, registry, compliance, and EHR analyst roles.
• Geographic constraints in areas with fewer hospitals, payers, vendors, public health agencies, or healthcare technology employers.
• Applying too late, especially when competitive internships and new-grad analyst roles recruit months before graduation.

Students who are comparing healthcare paths should also understand that some alternatives are intentionally designed for direct patient-care entry. For example, fast track LPN programs prepare for a different kind of credentialed workforce pathway than health informatics, where the burden is often on the graduate to demonstrate applied data and systems readiness.

How can Health Informatics graduates position their resumes for degree-level positions?

A health informatics resume should not read like a general healthcare administration resume. It should show that the candidate can connect healthcare operations, data quality, compliance, and technology to measurable business or patient-care goals.

Applicant tracking systems often rank resumes based on match quality. That means graduates should tailor each resume to the role family: EHR analyst, clinical data analyst, HIM specialist, registry analyst, quality analyst, revenue cycle analyst, privacy analyst, or health IT support analyst. A single generic resume is one of the fastest paths to being overlooked.

Use this sequence to reposition a resume for degree-level roles:

1. Choose one target role family and collect 10 to 15 job postings from hospitals, payers, vendors, government agencies, and healthcare technology companies.
2. Highlight repeated keywords related to tools, regulations, data types, workflows, credentials, and responsibilities.
3. Rewrite the summary section around the target role instead of using a broad statement such as "health informatics graduate seeking opportunity."
4. Create a technical skills section that includes only tools and methods you can discuss in an interview, such as SQL, Excel, Tableau, Power BI, Python, ICD-10-CM, CPT, HIPAA, HL7, FHIR, EHR workflows, or data validation.
5. Convert coursework into project bullets that show action and outcome, such as building a dashboard, cleaning a dataset, mapping a workflow, auditing records, or analyzing quality metrics.
6. Move unrelated service jobs lower on the resume unless they show healthcare operations, patient data, scheduling systems, compliance, or leadership.
7. Add a portfolio link if allowed, but remove protected health information and use public or simulated datasets.

Strong resume bullets are specific without overstating experience. For example, "Built a mock readmission dashboard using de-identified sample data in Power BI" is more credible than "Expert in healthcare analytics" for a recent graduate.

Are there certifications that Health Informatics graduates can secure to qualify for degree-level roles?

Certifications can reduce underemployment risk when they match the role the graduate wants. They are not magic shortcuts, and they do not replace experience, but they can help employers understand a candidate's readiness in health information management, coding, privacy, analytics, project management, or health IT.

The best certification choice depends on the target job. A student pursuing HIM leadership should not automatically choose the same credential as someone pursuing analytics or EHR implementation. Certification ROI is strongest when the exam content overlaps with job postings and when the graduate can pair it with projects or internships.

The table below summarizes common US-relevant credentials that may support degree-level health informatics or HIM employment. Requirements can change, so students should verify eligibility with the certifying organization before paying exam fees.

Students should also compare certifications with graduate education. A master's degree can be useful for leadership, research, public health analytics, or advanced informatics roles, but it is usually more expensive and slower than a targeted certification. If the immediate problem is entry-level screening, a focused credential plus portfolio may offer a faster return than another degree.

What steps can Health Informatics students take to improve their chances of securing degree-level roles?

The best way to avoid underemployment is to treat health informatics as a career track before graduation, not just as a major. Students should build proof that they can solve healthcare data, systems, privacy, quality, or workflow problems.

BLS projections released in 2024 show faster-than-average growth for several healthcare data and management-related occupations through 2033, but competition is strongest for roles that combine healthcare knowledge with technical execution. Students who start early can compete for those roles without relying on low-credential fallback jobs.

Use this step-by-step plan while still in school:

1. Pick a target lane by sophomore or junior year, such as EHR analysis, clinical analytics, HIM, revenue cycle analytics, registry work, privacy compliance, or health IT project coordination.
2. Audit 20 job descriptions in that lane and list the top repeated tools, regulations, workflows, and credentials.
3. Choose electives that fill gaps in databases, statistics, healthcare quality, coding systems, cybersecurity, project management, or data visualization.
4. Complete at least one internship, practicum, co-op, hospital project, payer project, public health data project, or vendor-related experience before graduation.
5. Build a small portfolio using de-identified, public, or simulated data that shows dashboards, SQL queries, workflow maps, data dictionaries, or compliance documentation.
6. Join a relevant professional association or student chapter and ask alumni which entry-level titles actually lead to informatics advancement.
7. Apply early to internships and new-grad roles because healthcare organizations may recruit before the final semester.
8. Use informational interviews to learn which employers promote from records, coding, revenue cycle, patient access, or IT support roles into degree-level informatics positions.
9. Evaluate job offers based on learning trajectory, internal mobility, tool exposure, tuition or certification support, and manager support, not only starting pay.

Students comparing adjacent healthcare majors should look at how directly each program connects to a job family. For example, those exploring wellness, rehabilitation, or performance-related careers may compare the best exercise science degree online options, while health informatics students should focus on whether their program produces job-ready evidence for healthcare data and information systems roles.

The strongest candidates usually graduate with three things: a clear target role, employer-recognized proof of skills, and at least one experience that shows how healthcare data or systems work in the real world. That combination does not eliminate risk, but it makes underemployment less likely and gives graduates more control over their first career move.