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.
17 of 17 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Identify, collect, record or analyze data that are relevant to the nursing care of patients.
AI: Fully automatable - AI can reliably identify, extract, record, and analyze nursing-relevant data at scale using NLP, ETL pipelines, and analytics, enabling full automation of these data collection and analysis tasks.
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.
AI: Partial - AI can generate designs, prototypes, data models, test plans, and simulations for decision-support, but cannot fully lead stakeholder-driven development, real-world implementation, and clinical evaluation without human oversight and domain leadership.
Analyze and interpret patient, nursing, or information systems data to improve nursing services.
AI: Partial - AI can perform statistical analyses, pattern detection, and predictive modeling on patient and system data, but clinical interpretation and validation of findings require human expertise and contextual judgment.
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.
AI: Partial - AI can supply multidisciplinary knowledge, synthesize literature, and propose evidence-based recommendations, but cannot fully enact collaborative application, leadership, and context-sensitive decision-making in practice, education, administration, or research.
Translate nursing practice information between nurses and systems engineers, analysts, or designers using object-oriented models or other techniques.
AI: Partial - AI can translate nursing concepts into object-oriented models, mapping artifacts, and documentation, but nuanced negotiation, tacit knowledge transfer, and final validation with stakeholders remain human responsibilities.
Develop strategies, policies or procedures for introducing, evaluating or modifying information technology applied to nursing practice, administration, education, or research.
AI: Partial - AI can draft strategies, policies, and procedural frameworks based on best practices and regulations, but tailoring, organizational change management, and final authorization require human governance and stakeholder engagement.
Develop or implement policies or practices to ensure the privacy, confidentiality, or security of patient information.
AI: Partial - AI can generate privacy/security policy drafts, identify vulnerabilities, and suggest technical controls, yet legal accountability, governance decisions, and secure operational implementation need human oversight and responsibility.
Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in informatics.
AI: Partial - AI can continuously ingest, summarize, and synthesize new literature and simulate colleague discussions, but cannot genuinely attend conferences, build professional relationships, or fully participate in networking on its own.
Provide consultation to nurses regarding hardware or software configuration.
AI: Partial - AI can provide remote consultation, step-by-step configuration guidance, and troubleshooting for hardware and software, but complex on-site integration, hands-on setup, and accountability often require human technicians.
Disseminate information about nursing informatics science and practice to the profession, other health care professions, nursing students, and the public.
AI: Partial - AI can create and distribute tailored educational and informational content across channels, but authoritative dissemination, credentialing, and nuanced audience engagement require human oversight and professional credibility.
Develop, implement or evaluate health information technology applications, tools, processes or structures to assist nurses with data management.
AI: Partial - AI can design, prototype and evaluate health IT tools and analyze data, but full development, implementation and clinical evaluation require human clinical judgment, stakeholder coordination and governance.
Use informatics science to design or implement health information technology applications to resolve clinical or health care administrative problems.
AI: Partial - AI can apply informatics methods to design and prototype solutions and assist implementation planning, but resolving clinical and administrative problems completely requires human validation, workflow integration and accountability.
Develop or deliver training programs for health information technology, creating operating manuals as needed.
AI: Partial - AI can generate training curricula, manuals and interactive e‑learning delivery, but in-person facilitation, assessment and adaptation to learners in clinical settings typically need human trainers.
Analyze computer and information technologies to determine applicability to nursing practice, education, administration and research.
AI: Partial - AI can analyze technologies, produce applicability assessments and scenario modeling, yet contextualizing recommendations for specific nursing practice, education and administration needs human stakeholder input.
Inform local, state, national and international health policies related to information management and communication, confidentiality and security, patient safety, infrastructure development and economics.
AI: Partial - AI can synthesize evidence, draft policy options and model impacts, but informing and negotiating health policy across jurisdictions requires human political judgment, endorsement and ethical accountability.
Design, conduct, or provide support to nursing informatics research.
AI: Partial - AI can design studies, generate analyses and draft manuscripts, but conducting human-subjects research, obtaining approvals and managing fieldwork still require human investigators.
Plan, install, repair or troubleshoot telehealth technology applications or systems in homes.
AI: Partial - AI can plan and remotely troubleshoot telehealth systems and provide step‑by‑step guidance, but physical installation, on‑site repairs and some safety checks need human technicians.