Nursing informatics integrates nursing science, computer science, and information science to manage and communicate data, information, and knowledge in nursing
Models in nursing informatics are representations of some aspect of the real world, reflecting different viewpoints and not necessarily competitive
Informatics theory in nursing builds on information theory and incorporates concepts from change theories, systems theory, chaos theory, cognitive theory, and sociotechnical theory
Nursing informatics models include Graves and Corcoran's model, Schiwirian’s model, and Turley’s model, each focusing on different aspects of nursing informatics
Nursing informatics draws from nursing science, computer science, information science, and cognitive science to enhance safe nursing practice and decision-making
Information literacy in nursing involves acknowledging the need for information, identifying, retrieving, evaluating, integrating information into practice, and evaluating its impact on problems or issues
Cognitive science in nursing involves critical thinking, decision-making, and problem-solving, essential for safe nursing practice
Benner's levels of expertise model in nursing include novice, advanced beginner, competent, proficient, and expert levels
Specific informatics models in nursing include the Philippine Healthcare Ecosystem Model, Intel’s Shift Left Model, and the Patient Medical Record Information Model
Nursing informatics theory encompasses core concepts like data, information, knowledge, and wisdom, essential for interpreting and using information effectively in nursing practice
Sociotechnical theory and social informatics focus on the impact of technology implementation on organizations, emphasizing the interactions of organizational and technical components
Sociotechnical theory focuses on the impact of technology implementation on an organization, considering interactions between information management tools and techniques and the knowledge, skills, attitudes, values, and needs of employees
Change theory addresses both unplanned (Rogers' Diffusion of Innovation Theory) and planned (Lewin's Change Theory) changes, with stages like knowledge, persuasion, decision, implementation, and confirmation
Rogers' Diffusion of Innovation Theory categorizes adopters into groups like innovators, early adopters, early majority, late majority, and laggards
Lewin's Change Theory involves stages of unfreezing, moving, and refreezing, focusing on driving forces, restraining forces, and achieving equilibrium
Information Theory is based on Blooms taxonomy and defines data, information, and knowledge, emphasizing the progression from data to knowledge through interpretation and synthesis
General System Theory views complex structures like information systems, focusing on interactions among system parts and distinguishing between open systems (exchange information with the environment) and closed systems (isolated from the environment)
Chaos Theory addresses complex systems like information systems, highlighting that seemingly chaotic systems have an underlying order based on initial conditions
Cognitive Science Theory studies the mind and intelligence, interdisciplinary and part of social informatics, focusing on how the brain perceives and interprets information
Usability Theory combines cognitive science and sociotechnical theories to enhance ease of use, user satisfaction, and aesthetics of technology, with goals like easy task accomplishment and minimal errors
Learning Theories are crucial in informatics and nursing, aiding in training users and decreasing learning time