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Health Informatics Specialists

SOC 15-1211.01Job Zone 5 · Extensive Preparationv.26.05

Context coveredThis framework covers the full professional scope of Health Informatics Specialists — from entry-level data collection and protocol adherence through autonomous system design and enterprise-level strategic leadership — within clinical, administrative, research, and educational health care environments.

Sources:O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.SkillsCrosswalkSkillsCrosswalk — O*NET enrichment + adjacency index. Opens in new tab.
Emerging
Entry / Apprentice
  1. Clinical and administrative health data — identify and collect under structured guidance to support patient care documentation in an electronic health record environment.
  2. Object-oriented models and informatics terminology — apply foundational concepts to translate basic nursing practice information into structured formats under supervisor review.
  3. Health information privacy and confidentiality policies — review and follow established protocols to support HIPAA-compliant data handling in a clinical informatics setting.
  4. EHR and medical software platforms — navigate and perform entry-level data entry and query tasks under direct supervision in a health system environment.
  5. Nursing and information systems data — organize and record using standard database management tools to assist informatics teams in clinical quality improvement projects.
  6. Reading Comprehension and Active Listening skills — apply to interpret technical specifications and clinical documentation while learning health informatics workflows from senior specialists.
  7. Informatics theory and computer science principles — integrate foundational knowledge from graduate-level preparation to participate in structured health IT application reviews.
  8. Decision-support mechanisms and data structures — assist in testing and documenting existing configurations under the direction of experienced health informatics engineers.
  9. Interdisciplinary communication — coordinate information exchange between nursing staff and systems analysts using guided templates and meeting facilitation checklists.
  10. Spreadsheet and analytical software tools — use to compile and format preliminary datasets for review by senior informatics specialists in a hospital or health network setting.
Developing
Mid-level / Established
  1. Patient and nursing care data — analyze using database query and analytical software to identify trends and recommend service improvements with moderate oversight in a clinical environment.
  2. Health information technology applications — design and implement routine solutions for defined clinical or administrative workflow problems in collaboration with interdisciplinary teams.
  3. Privacy and security policy documentation — develop and apply updated organizational policies to protect patient information in compliance with regulatory standards across a health system.
  4. Object-oriented and web platform development tools — use to build or modify informatics components that translate nursing practice requirements into functional system specifications.
  5. Nursing informatics solutions — evaluate performance against established metrics and document findings to support iterative improvement cycles in a multi-department health care setting.
  6. Health IT data structures — select and configure appropriate configurations to support nurses' data management needs with reduced direction from project leadership.
  7. Interdisciplinary informatics projects — coordinate timelines and deliverables across nursing, IT, and administration stakeholders, applying time management and coordination skills in a health network.
  8. Systems analysis methods — apply to identify gaps between current clinical workflows and health information technology capabilities in an acute care or ambulatory environment.
  9. Staff and end-user training materials — develop and deliver using computer-based training software to support adoption of new health informatics tools among nursing and clinical staff.
  10. Clinical decision-support mechanisms — test and refine using structured evaluation frameworks to validate accuracy and usability within an operational electronic health record system.
Proficient
Senior / Expert IC
  1. Complex nursing and health system data — autonomously analyze and interpret across multiple data sources to drive evidence-based improvements in clinical operations and patient outcomes.
  2. Custom health informatics applications — design, develop, and implement end-to-end solutions for non-routine clinical or administrative problems, applying integrated knowledge of nursing, computer science, and informatics theory.
  3. Enterprise-wide privacy, confidentiality, and security frameworks — independently develop, implement, and evaluate comprehensive patient information protection strategies across a large health system.
  4. Human-computer interaction and decision-support architectures — engineer and refine within EHR and clinical decision environments to optimize usability for diverse health care professional populations.
  5. Informatics solution lifecycle — lead full-scope selection, testing, implementation, and evaluation of new or modified data structures and tools in complex multi-site health care organizations.
  6. Nursing practice and systems engineering translation — autonomously bridge clinical knowledge gaps using object-oriented models and other advanced techniques to enable robust system design without substantial oversight.
  7. Health informatics science — apply with originality to conceptualize novel approaches for resolving persistent clinical data management challenges in research, education, or administrative contexts.
  8. Geographic information systems and population health analytics tools — integrate to support advanced clinical program analysis and community health informatics initiatives across a regional health network.
  9. Systems evaluation methodologies — execute independently to assess the effectiveness and unintended consequences of deployed health IT tools and generate actionable recommendations for system leadership.
  10. Interdisciplinary collaboration — lead cross-functional workgroups of nurses, clinicians, engineers, and administrators to co-design and deploy informatics solutions that align with organizational clinical strategy.
Advanced
Lead / Principal / Executive
  1. Organizational health informatics strategy — set vision and long-range direction for enterprise-wide health IT adoption, aligning informatics investments with patient safety, quality, and regulatory priorities at the executive level.
  2. Health informatics policy and governance frameworks — establish institution-wide policies governing data privacy, security, and ethical use of patient information, influencing regulatory compliance across a large health system or network.
  3. Emerging informatics technologies and methodologies — evaluate and champion adoption of cutting-edge solutions — including AI-driven decision support and advanced interoperability standards — to position the organization at the forefront of clinical innovation.
  4. Health informatics talent pipeline — design and lead mentorship, succession planning, and professional development programs that build organizational capability across emerging, developing, and proficient informatics practitioners.
  5. Cross-institutional informatics partnerships — negotiate and lead collaborations with academic medical centers, government agencies, and technology vendors to advance shared research, data sharing, and population health informatics goals.
  6. Complex system-of-systems integration — direct the architectural design and evaluation of interoperable health information ecosystems spanning clinical, administrative, and research domains across a multi-entity health enterprise.
  7. Organizational learning and innovation culture — apply learning strategies and instructional leadership to embed continuous improvement and evidence-based informatics practice into the fabric of health system operations.
  8. Health informatics workforce standards — contribute to the development of professional competency standards, accreditation criteria, and national guidelines through leadership roles in professional associations and policy bodies.
  9. Executive decision-making on clinical data infrastructure — apply advanced judgment and systems analysis to resource allocation, risk management, and strategic prioritization of health IT initiatives affecting thousands of patients and clinicians.
  10. Organizational change management — lead institution-wide transformation efforts accompanying major health IT implementations, integrating social perceptiveness and communication expertise to sustain stakeholder alignment and mitigate resistance at scale.

AI-at-Work Competency Framework

Sources:Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab.Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab.WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab.

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Sources:Pathsmith™ Durable SkillsPathsmith™ Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
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O*NET enrichment · skillscrosswalk.com

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Source anchors that ground each statement

Related titles
Clinical Electronic Health Record Nurse (Clinical EHR Nurse) · Clinical Informaticist · Clinical Informatics Analyst · Clinical Informatics Nurse · Clinical Informatics Specialist · Clinical Quality Auditor · Clinical Specialist · Clinical Systems Educator · Coding Auditor · Health Informaticist · Health Informatics Advisor · Health Informatics Analyst
RAPIDS apprenticeships
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O*NET skills
Reading ComprehensionComplex Problem SolvingWritingSpeakingCritical ThinkingActive ListeningJudgment and Decision MakingActive LearningLearning StrategiesSystems AnalysisSystems EvaluationMonitoringCoordinationTime ManagementInstructingSocial PerceptivenessService OrientationManagement of Personnel ResourcesMathematicsPersuasionNegotiation
Knowledge domains
Computers and ElectronicsEnglish LanguageMedicine and DentistryEducation and TrainingCustomer and Personal ServiceAdministration and ManagementMathematicsDesignPsychologyEngineering and TechnologyAdministrativeSociology and Anthropology
Abilities
Written ComprehensionInductive ReasoningProblem SensitivityWritten ExpressionOral ExpressionDeductive ReasoningOral ComprehensionFluency of IdeasOriginalityInformation Ordering
Work styles
Attention to DetailDependabilityIntegrityIntellectual CuriosityCautiousnessInnovation
Technology
Medical softwareData base management system softwareObject or component oriented development softwareGeographic information systemAnalytical or scientific softwareWeb platform development softwareComputer based training softwareCalendar and scheduling softwareData base user interface and query softwareSpreadsheet software
Tasks · seed anchors for statements
  1. Translate nursing practice information between nurses and systems engineers, analysts, or designers, using object-oriented models or other techniques.
  2. Use informatics science to design or implement health information technology applications for resolution of clinical or health care administrative problems.
  3. Develop or implement policies or practices to ensure the privacy, confidentiality, or security of patient information.
  4. Analyze and interpret patient, nursing, or information systems data to improve nursing services.
  5. Identify, collect, record, or analyze data relevant to the nursing care of patients.
  6. Apply knowledge of computer science, information science, nursing, and informatics theory to nursing practice, education, administration, or research, in collaboration with other health informatics specialists.
  7. Develop, implement, or evaluate health information technology applications, tools, processes, or structures to assist nurses with data management.
  8. Design, develop, select, test, implement, and evaluate new or modified informatics solutions, data structures, and decision-support mechanisms to support patients, health care professionals, and their information management and human-computer and human-technology interactions within health care contexts.
CIP education codes
11.010111.010311.050111.0901

Sources: O*NET v30.2 (CC BY 4.0), SkillsCrosswalk.com, LER.me®, Anthropic Economic Index, SAFI (Jadhav & Danve, 2026), WEF Skills Taxonomy 2021, Pathsmith™ Durable Skills Framework. © 2026 EBSCOed.