2027 Health Informatics Degree Underemployment Report: Which Graduates Are Most Likely to Work Below Their Education Level
Co-Founder and Chief Data Scientist
Health informatics graduates face a real mismatch risk: healthcare employers need data, EHR, privacy, and analytics talent, but many entry-level postings still ask for experience. Federal Reserve Bank of New York labor market data shows that roughly 4 in 10 recent college graduates work in jobs that do not typically require a degree. This report is for health informatics students, recent graduates, and career changers who want to avoid low-credential roles. You will learn where underemployment happens, which skills reduce risk, and how to target degree-level jobs with stronger pay and advancement potential.
Key Things to Know About Underemployment in Health Informatics Industry
- There is no single federal underemployment rate for health informatics majors, so the best risk signal combines recent-college-graduate underemployment benchmarks with BLS demand for health information technologists, medical registrars, analysts, and health services managers.
- Health informatics graduates are most likely to be underemployed when they leave school with only general healthcare coursework and no evidence of EHR systems, SQL, data visualization, coding classification, privacy, workflow, or analytics skills.
- BLS 2024 wage data shows a large economic spread between low-credential medical records roles and degree-aligned health informatics pathways, making early role selection important for loan repayment and long-term earnings.
- How likely is it for Health Informatics graduates to become underemployed?
- Is the college curricula for Health Informatics keeping up with employer expectations?
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.
| Job outcome | Typical degree use | Underemployment risk | What to watch for |
| Health informatics analyst, EHR analyst, clinical data analyst | High use of health data, systems, workflow, and reporting skills | Lower | Requires evidence of analytics, EHR exposure, and healthcare operations knowledge |
| Health information management specialist or coding-focused role | Moderate to high use, depending on scope | Moderate | Can be degree-aligned if it includes auditing, compliance, data quality, or supervisory duties |
| Medical records clerk, patient access representative, billing assistant | Limited use of bachelor's-level informatics training | Higher | May become a trap if the employer offers no path into analytics, systems, compliance, or HIM leadership |
| General administrative healthcare support | Low use of specialized coursework | High | Often lacks technical skill growth and may not strengthen future informatics applications |
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.
| Curriculum area | Why it matters | Common gap | Employer-facing evidence |
| Health data standards and interoperability | Supports EHR integration and data exchange | Students learn concepts but not implementation examples | FHIR, HL7, or data mapping project |
| Database and analytics coursework | Needed for reporting, quality improvement, and population health | Limited SQL, Tableau, Power BI, or Python practice | Portfolio with cleaned healthcare dataset and dashboard |
| Privacy, security, and compliance | Central to HIPAA and health information governance | Coursework may be legalistic rather than operational | Mock risk assessment or access-control workflow |
| Clinical workflow and EHR systems | Connects technology decisions to patient care operations | Little direct exposure to EHR configuration or optimization | Internship, simulation, workflow redesign, or super-user experience |
| Revenue cycle and coding systems | Important for HIM, reimbursement, and data quality roles | Graduates may lack certification-ready coding depth | RHIA, RHIT, CCS, or coding audit project when relevant |
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.
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.
| Field type | Typical pathway clarity | Underemployment pattern | How health informatics compares |
| Licensed clinical healthcare fields | High because licensure defines many roles | Mismatch often occurs before licensure or when graduates do not pass required exams | Health informatics is less license-driven, so students must prove role fit through skills and experience |
| Health informatics and HIM-related fields | Moderate because roles vary by employer | Graduates may fall into clerical records, billing, or administrative jobs | Risk is manageable when graduates build analytics, EHR, compliance, or coding depth |
| General business or social science majors | Variable because career targets are broad | Graduates may take jobs unrelated to their degree while searching for specialization | Health informatics has stronger healthcare-specific positioning if students use it deliberately |
| Computer science and data analytics fields | Moderate to high but highly competitive | Underemployment can occur when portfolios are weak or technical interviews are missed | Health informatics graduates can compete by combining healthcare domain knowledge with practical analytics |
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."
Taking a low-credential role does not automatically damage a health informatics career, but staying too long in one can slow earnings, delay technical skill development, and make the resume look more administrative than analytical. The effect depends on whether the graduate converts the role into evidence of healthcare operations knowledge.
The biggest career risk is skill depreciation. Health informatics is affected by rapid adoption of AI-assisted documentation, automation in revenue cycle workflows, data quality tools, cloud-based analytics, and EHR optimization initiatives. If a graduate's first job is mostly repetitive clerical work, those tasks may become less valuable over time while employers continue to ask for higher-level analytics and systems judgment.
Low-credential work can still help when graduates frame it correctly. For example, a medical records role can support a future HIM or informatics career if the graduate documents measurable experience with release of information, data integrity, coding accuracy, privacy compliance, chart audits, or workflow improvements.
Graduates should avoid these common mistakes because they make underemployment harder to escape:
- Accepting the first healthcare support job without asking whether it has an internal promotion path.
- Listing daily clerical duties on the resume instead of measurable systems, data, compliance, or workflow contributions.
- Waiting until after graduation to learn SQL, dashboards, EHR terminology, or health data standards.
- Assuming a bachelor's degree alone will override employer requests for experience, certifications, or tool knowledge.
- Applying only to local hospitals when payer, vendor, public health, consulting, and remote healthcare technology roles may offer better alignment.
The safer strategy is to set a time limit. If a low-credential role is not producing degree-level experience within several months, graduates should start building outside proof through projects, certifications, alumni referrals, and targeted applications.
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.
| Role category | How it relates to health informatics | 2024 median annual wage | Career meaning |
| Medical records specialists | Common fallback or entry point for records and coding-related work | $50,250 | Can be useful if it leads to coding, auditing, compliance, or HIM advancement |
| Health information technologists and medical registrars | More closely aligned with informatics, registries, data systems, and health information technology | $67,310 | Better degree utilization when the role includes data, systems, quality, or registry responsibilities |
| Medical and health services managers | Later-career pathway for HIM, informatics operations, analytics, or department leadership | $117,960 | Often requires experience, leadership, and sometimes graduate education or advanced credentials |
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.
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.
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:
- Choose one target role family and collect 10 to 15 job postings from hospitals, payers, vendors, government agencies, and healthcare technology companies.
- Highlight repeated keywords related to tools, regulations, data types, workflows, credentials, and responsibilities.
- Rewrite the summary section around the target role instead of using a broad statement such as "health informatics graduate seeking opportunity."
- 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.
- 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.
- Move unrelated service jobs lower on the resume unless they show healthcare operations, patient data, scheduling systems, compliance, or leadership.
- 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.
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.
| Credential | Best fit | How it may help | Important limitation |
| RHIA | Health information management, compliance, data governance, HIM leadership | Signals formal HIM preparation and management-oriented health information knowledge | Eligibility is tied to specific accredited educational pathways |
| RHIT | Health information technician, coding, records, data quality, HIM operations | Can strengthen candidates for HIM roles that bridge technical and operational work | May not be enough alone for analyst roles requiring SQL or visualization tools |
| CCS or CPC | Medical coding, auditing, revenue cycle, documentation quality | Useful for roles where coding accuracy and reimbursement knowledge matter | Less relevant for pure EHR analyst or data engineering pathways |
| CAHIMS or CPHIMS | Health IT, systems, informatics operations, implementation support | Shows commitment to healthcare information systems and health IT concepts | Employers may still prioritize direct EHR or implementation experience |
| CompTIA Security+ or similar security credential | Health data privacy, security, access control, risk support | Can support privacy and security-adjacent health IT roles | Should be paired with HIPAA and healthcare workflow knowledge |
| Tableau, Power BI, SQL, or cloud analytics certificates | Clinical analytics, quality reporting, population health, payer analytics | Provides practical evidence of analytics capability when paired with a portfolio | Tool certificates are weaker without healthcare-specific projects |
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.
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:
- 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.
- Audit 20 job descriptions in that lane and list the top repeated tools, regulations, workflows, and credentials.
- Choose electives that fill gaps in databases, statistics, healthcare quality, coding systems, cybersecurity, project management, or data visualization.
- Complete at least one internship, practicum, co-op, hospital project, payer project, public health data project, or vendor-related experience before graduation.
- Build a small portfolio using de-identified, public, or simulated data that shows dashboards, SQL queries, workflow maps, data dictionaries, or compliance documentation.
- Join a relevant professional association or student chapter and ask alumni which entry-level titles actually lead to informatics advancement.
- Apply early to internships and new-grad roles because healthcare organizations may recruit before the final semester.
- Use informational interviews to learn which employers promote from records, coding, revenue cycle, patient access, or IT support roles into degree-level informatics positions.
- 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.
Some health informatics graduates stay in low-credential roles only briefly, especially when they use those roles to gain healthcare workflow knowledge and then move into data, HIM, EHR, compliance, or quality roles. Others remain stuck because their first job does not produce the evidence employers need for degree-level hiring.
The New York Fed's broader underemployment research has consistently shown that early underemployment can persist for some graduates rather than automatically resolving after the first job. For health informatics students, this means the first role should be judged not only by title or immediate pay but by whether it builds career capital.
A low-credential role is more likely to become a gateway when it includes exposure to systems, reporting, data quality, coding, privacy workflows, revenue cycle analytics, or cross-functional projects. It is more likely to become a trap when the graduate spends most of the day on scheduling, scanning, phone queues, or repetitive record retrieval with no project ownership.
Before accepting a support role, graduates should ask targeted questions that reveal whether the job can lead to degree-level work:
- Will I use or learn any EHR, HIM, analytics, reporting, coding, compliance, or data-quality tools in this role?
- Are there internal examples of people moving from this position into analyst, EHR, HIM, quality, or informatics roles?
- Can I volunteer for process improvement, dashboard, audit, workflow, or data cleanup projects after meeting core job expectations?
- Will my manager support internal applications after 6 to 12 months if I meet performance goals?
- Does the organization pay for certifications, professional association membership, or continuing education?
If the answer to most of these questions is no, the job may still be necessary for income, but the graduate should create a separate exit strategy that includes certification study, portfolio work, networking, and active applications to degree-aligned roles.
Other Things You Should Know About Health Informatics
Yes, it can be a strong fit for students who prefer healthcare data, technology, compliance, systems, or operations instead of direct clinical care. The key is choosing coursework and experiences that match a specific nonclinical role, such as EHR analyst, clinical data analyst, HIM specialist, registry analyst, or privacy analyst.
It is possible, but harder. Employers often value healthcare workflow knowledge, so students without hospital experience should build substitutes such as payer projects, public health data work, internships with vendors, simulated EHR projects, or portfolio work based on realistic healthcare scenarios.
It can make sense if the role gives you exposure to coding, audits, data quality, HIPAA workflows, EHR systems, or internal mobility. It is riskier if the job is mostly scanning, filing, or routine clerical work with no path toward informatics or HIM responsibilities.
Not every role requires programming, but basic technical fluency helps. SQL, Excel, data visualization, database concepts, and comfort with structured healthcare data are often more important for entry-level roles than advanced software engineering.
- 11 Health Informatics Careers for Master’s Graduates to Consider https://www.nec.edu/news/health-informatics-careers
- Health Informatics Jobs: Rapid Growth & Opportunities https://www.css.edu/about/blog/new-report-health-informatics-jobs-are-growing-rapidly/
- Health Informatics Careers and Jobs https://www.publichealthdegrees.org/careers/health-informatics/
- What Kinds of Organizations Need Health Informatics Graduates? https://www.usfhealthonline.com/resources/health-informatics/what-kinds-of-organizations-need-health-informatics-graduates/
- Health informatics job market in trouble | Healthcare IT News https://www.healthcareitnews.com/news/health-informatics-job-market-trouble
