ANCC Informatics Nurse flashcards
ANCC Informatics Nurse · Build recall with a focused review session.
32 cards. Read the term and the definition here. The deck at the top of this page is optional.
- DIKW framework
- Hierarchy in which data are discrete objective facts, information is data placed in context, knowledge is synthesized relationships among information, and wisdom is the judicious application of knowledge to decisions.
- Nursing informatics definition
- Specialty integrating nursing science, computer science, and information science to manage and communicate data, information, knowledge, and wisdom in nursing practice, as defined by the American Nurses Association.
- Foundation of Knowledge model
- McGonigle and Mastrian's model describing nurses as knowledge workers who acquire, generate, process, and disseminate knowledge using information systems and technology.
- HITECH Act of 2009
- Federal law within ARRA that funded EHR incentive programs, expanded HIPAA privacy and security enforcement including breach notification, and expanded the Office of the National Coordinator's certification role.
- Meaningful use
- CMS incentive program requiring eligible hospitals and professionals to demonstrate staged EHR use, moving from data capture and sharing to advanced clinical processes to improved outcomes; now Promoting Interoperability.
- Standardized nursing terminology
- Coded nursing languages such as NANDA-I, NIC, NOC, Omaha System, Clinical Care Classification, and ICNP that let nursing data be documented consistently, compared, and exchanged across systems.
- TIGER initiative
- Technology Informatics Guiding Education Reform collaborative that defined informatics competencies for practicing nurses, faculty, and students to prepare the workforce for digital practice.
- Benner novice to expert
- Model describing skill acquisition from novice through expert; applied in informatics to stage competency growth from basic computer skills to expert data-driven clinical decision making.
- System development life cycle
- Sequence of planning, analysis, design, implementation, and maintenance phases; each phase produces deliverables and concludes with a formal review before the next phase begins.
- Functional requirements
- Statements describing what a system must do, such as documenting vital signs or checking drug interactions; they contrast with non-functional requirements covering performance, usability, and security.
- Request for proposal
- Formal document inviting vendors to submit detailed solutions, costs, and timelines against defined requirements; used when selecting clinical information systems or major technology.
- User acceptance testing
- Final testing phase in which end users verify that the system supports real clinical workflow and stated requirements before go-live; failures are logged and resolved before sign-off.
- Big bang go-live
- Implementation strategy that activates the new system for all users at once; it is the fastest approach but carries the highest risk because there is no staged learning period.
- ADKAR change model
- Change management framework with five sequential outcomes: Awareness of the need for change, Desire to participate, Knowledge of how to change, Ability to perform, and Reinforcement to sustain it.
- HL7 FHIR
- Fast Healthcare Interoperability Resources: an HL7 standard that uses web-based application programming interfaces to exchange discrete clinical data between disparate systems.
- Gap analysis
- Comparison of current-state workflow or capability with the desired future state, identifying differences that the new system, training, or process redesign must close.
- Data quality dimensions
- Attributes used to judge whether data are fit for use, including accuracy, completeness, consistency, timeliness, validity, and uniqueness; poor input yields unreliable analytics and unsafe decisions.
- Data warehouse
- Central repository holding integrated, subject-oriented, time-stamped data extracted from source systems so reporting and analysis can occur without querying operational systems directly.
- CDS Five Rights
- Clinical decision support should provide the right information, to the right person, in the right intervention format, through the right channel, at the right time in the workflow.
- Alert fatigue
- Desensitization and high override rates caused by excessive, duplicated, or low-specificity alerts; countered by tiering severity, narrowing trigger logic, and monitoring override data.
- PICO question format
- Evidence-based practice question structure using Population or patient, Intervention, Comparison, and Outcome; it guides the literature search and appraisal of evidence.
- Predictive analytics
- Analysis that applies historical data and statistical or machine learning models to estimate the probability of future events such as readmission or clinical deterioration.
- Role-based access control
- Security method granting data access according to job function and enforcing minimum necessary use; user activity is captured in audit trails for ongoing monitoring.
- Primary key
- Field that uniquely identifies each record in a relational database table; foreign keys in other tables reference it to create links among data.
- Information blocking
- Practice that unreasonably interferes with access, exchange, or use of electronic health information; prohibited under the 21st Century Cures Act except for specified regulatory exceptions.
- Nurse Licensure Compact
- Multistate licensure agreement allowing nurses who hold a multistate license to practice in all member states, supporting telehealth and cross-state virtual care delivery.
- E-iatrogenesis
- Patient harm generated by health information technology through wrong-patient selection, copy-and-paste errors, misleading displays, or alert overload; addressed through usability testing and safety reporting.
- Just culture
- Organizational model that responds to human error with consolation, at-risk behavior with coaching, and reckless behavior with sanction, encouraging reporting of technology-related safety events.
- Algorithmic bias
- Systematic unfairness in predictive models caused by unrepresentative or biased training data, producing inequitable clinical recommendations for already underserved patient groups.
- Chief Nursing Informatics Officer
- Nursing executive who aligns nursing workflow, information systems strategy, and patient safety goals, and who represents nursing in organizational technology governance decisions.
- ANA Code of Ethics
- Professional standards obligating nurses to protect privacy and confidentiality, maintain competence, and advocate for patients; informatics practice applies these duties to data security and secondary data use.
- Telehealth nursing
- Delivery of nursing care through telecommunications technology, including virtual visits and remote monitoring, requiring attention to licensure, privacy, and documentation standards.