Informatics Nurse Specialists
Apply knowledge of nursing and informatics to assist in the design, development, and ongoing modification of computerized health care systems. May educate staff and assist in problem solving to promote the implementation of the health care system.
How AI Impacts Each Task
17 tasks analyzed
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.
Analyze and interpret patient, nursing, or information systems data to improve nursing services.
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.
Translate nursing practice information between nurses and systems engineers, analysts, or designers using object-oriented models or other techniques.
Identify, collect, record or analyze data that are relevant to the nursing care of patients.
Develop strategies, policies or procedures for introducing, evaluating or modifying information technology applied to nursing practice, administration, education, or research.
Develop or implement policies or practices to ensure the privacy, confidentiality, or security of patient information.
Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in informatics.
Provide consultation to nurses regarding hardware or software configuration.
Disseminate information about nursing informatics science and practice to the profession, other health care professions, nursing students, and the public.
Develop, implement or evaluate health information technology applications, tools, processes or structures to assist nurses with data management.
Use informatics science to design or implement health information technology applications to resolve clinical or health care administrative problems.
Develop or deliver training programs for health information technology, creating operating manuals as needed.
Analyze computer and information technologies to determine applicability to nursing practice, education, administration and research.
Inform local, state, national and international health policies related to information management and communication, confidentiality and security, patient safety, infrastructure development and economics.
Design, conduct, or provide support to nursing informatics research.
Plan, install, repair or troubleshoot telehealth technology applications or systems in homes.
| Task | AI Capability | Risk | Time % | |
|---|---|---|---|---|
| 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. | 65.95Observed | 53.4% | 10% | |
| Analyze and interpret patient, nursing, or information systems data to improve nursing services. | 53.62Observed | 48.5% | 10% | |
| 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. | 35Estimated | 41.0% | 8% | |
| Translate nursing practice information between nurses and systems engineers, analysts, or designers using object-oriented models or other techniques. | 40Estimated | 31.0% | 8% | |
| Identify, collect, record or analyze data that are relevant to the nursing care of patients. | 36.1Observed | 63.6% | 8% | |
| Develop strategies, policies or procedures for introducing, evaluating or modifying information technology applied to nursing practice, administration, education, or research. | 50Estimated | 47.0% | 6% | |
| Develop or implement policies or practices to ensure the privacy, confidentiality, or security of patient information. | 43.53Observed | 44.4% | 5% | |
| Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in informatics. | 40Estimated | 43.0% | 4% | |
| Provide consultation to nurses regarding hardware or software configuration. | 45Estimated | 33.0% | 6% | |
| Disseminate information about nursing informatics science and practice to the profession, other health care professions, nursing students, and the public. | 64.28Observed | 40.7% | 5% | |
| Develop, implement or evaluate health information technology applications, tools, processes or structures to assist nurses with data management. | 54.9Observed | 49.0% | 8% | |
| Use informatics science to design or implement health information technology applications to resolve clinical or health care administrative problems. | 61.88Observed | 51.8% | 6% | |
| Develop or deliver training programs for health information technology, creating operating manuals as needed. | 50.95Observed | 35.4% | 6% | |
| Analyze computer and information technologies to determine applicability to nursing practice, education, administration and research. | 50.58Observed | 47.2% | 4% | |
| Inform local, state, national and international health policies related to information management and communication, confidentiality and security, patient safety, infrastructure development and economics. | 20Estimated | 23.0% | 2% | |
| Design, conduct, or provide support to nursing informatics research. | 60Estimated | 51.0% | 2% | |
| Plan, install, repair or troubleshoot telehealth technology applications or systems in homes. | 56Observed | 31.4% | 2% |
Skill Impact Analysis
AI-Vulnerable Skills (6)
High reliance on Reading Comprehension is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Information Ordering is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
Mathematics is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.
Memorization is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.
Programming is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.
AI-Resistant Skills (11)
Adaptability/Flexibility is AI-resistant — strengthening this skill provides durable career protection.
Leadership is AI-resistant — strengthening this skill provides durable career protection.
Complex Problem Solving is AI-resistant — strengthening this skill provides durable career protection.
Coordination is AI-resistant — strengthening this skill provides durable career protection.
Service Orientation is AI-resistant — strengthening this skill provides durable career protection.
Instructing is AI-resistant — strengthening this skill provides durable career protection.
Persuasion is AI-resistant — strengthening this skill provides durable career protection.
Social Perceptiveness is AI-resistant — strengthening this skill provides durable career protection.
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Score History
Risk score over 3 scoring runs
overall change
Education & Training
Percentage of workers at each education and training level
Education Level
Prior Experience Needed
Work experience required to enter this job
Training Provided After Hiring
How long it typically takes to learn on the job
Related News
Recent articles about AI affecting this occupation
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A new study reveals that 66% of healthcare organizations lack the infrastructure or workforce readiness to deploy artificial intelligence at scale. This massive readiness gap suggests a looming surge in demand for AI-fluent health tech professionals.
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Medical facilities are adopting AI to clear massive data backlogs, fundamentally changing the role of health informatics workers. Instead of manually pulling reports, staff are being pushed to interpret automated insights and manage AI systems.
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Industry leaders at the recent HIMSS conference explored how artificial intelligence is reshaping medical workflows. The discussions centered on integrating new technologies without disrupting clinical staff.
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Health informatics professionals will need to completely overhaul how medical records are managed to support new AI tools. Experts argue that healthcare data must be reorganized around individuals rather than institutions to make medical AI viable.
How AI Integration is Reshaping Healthcare IT Roles
Healthcare organizations are actively determining how artificial intelligence will alter administrative and clinical IT workflows. The shift requires current staff to adapt from traditional data management to overseeing automated systems.
Last scored March 14, 2026 · Based on BLS employment data and O*NET task analysis