ANCC Informatics Nurse cheat sheet

DIKW hierarchy: data are discrete objective facts without interpretation; information is data placed in context; knowledge is synthesized information with identified relationships; wisdom is the judicious application of knowledge to decision-making.

ANA defines nursing informatics as a specialty integrating nursing science, computer science, and information science to manage and communicate data, information, knowledge, and wisdom in nursing practice.

ANA recognized nursing informatics as a specialty in 1992, and ANCC administered the first informatics nurse certification examination in 1995.

Foundation of Knowledge model (McGonigle and Mastrian): nurses function as knowledge workers through four processes - knowledge acquisition, knowledge generation, knowledge processing, and knowledge dissemination.

HITECH Act (2009), enacted within ARRA, created Medicare and Medicaid EHR incentive programs, strengthened HIPAA privacy and security enforcement with breach notification, and expanded the role of the Office of the National Coordinator.

Meaningful use proceeded in stages: Stage 1 data capture and sharing, Stage 2 advanced clinical processes, Stage 3 improved outcomes; the program is now titled Promoting Interoperability.

Standardized nursing terminologies enable comparable, reusable nursing data: NANDA-I for diagnoses, NIC for interventions, NOC for outcomes, plus the Omaha System, Clinical Care Classification, and ICNP.

Informatics role titles include informatics nurse, informatics nurse specialist, clinical analyst, CNIO, and CMIO; competencies span computer literacy, informatics knowledge, and informatics skills.

Benner's novice-to-expert model is applied to informatics competency, progressing from rule-based beginner performance to fluid, expert use of data in clinical judgment.

System development life cycle: planning, analysis, design, implementation, and maintenance/evaluation; each phase yields defined deliverables and a review gate before the next phase begins.

Functional requirements state what the system must do (for example, calculate a weight-based dose); non-functional requirements state constraints such as performance, availability, security, and usability.

Gap analysis compares the current-state workflow, mapped with flowcharts or process maps, against the desired future state to define what the system or process redesign must change.

Vendor selection tools: RFI gathers vendor capability information, RFP solicits formal proposals against stated requirements and pricing, RFQ requests price quotations, and the contract specifies service level agreements.

Testing order is unit, then integration, then system, then user acceptance testing; UAT is performed by end users to confirm the system supports real clinical workflow before sign-off.

Go-live strategies: big bang activates all users at once (fastest, highest risk), phased moves by unit or module, pilot limits scope to one site first, and parallel runs the legacy and new systems concurrently.

Change management frameworks: Lewin's unfreeze-change-refreeze, Kotter's eight steps, and ADKAR (Awareness, Desire, Knowledge, Ability, Reinforcement).

The triple constraint of scope, time, and cost governs projects; scope creep is uncontrolled scope expansion and is controlled through formal change control review.

Interoperability standards: HL7 version 2 messaging, CDA/C-CDA documents, FHIR APIs, DICOM for imaging, and X12 for claims, with SNOMED CT, LOINC, RxNorm, and ICD-10 as terminologies.

FMEA is a prospective risk assessment performed before go-live; root cause analysis is a retrospective method used after an adverse event occurs.

Data quality dimensions include accuracy, completeness, consistency, timeliness, validity, precision, and uniqueness; poor input quality propagates into unreliable reports and unsafe decisions.

Relational database structure: tables contain records (rows) and fields (columns); the primary key uniquely identifies a row, foreign keys link tables, and normalization reduces redundancy and anomaly.

A data warehouse holds integrated, subject-oriented, time-variant data for analysis; a data mart is a departmental subset of the warehouse; a data lake stores raw structured and unstructured data.

Analytics levels: descriptive (what happened), diagnostic (why it happened), predictive (what is likely to happen), prescriptive (what action should be taken).

The Five Rights of clinical decision support: right information, to the right person, in the right intervention format, through the right channel, at the right time in the workflow.

Knowledge discovery in databases follows selection, preprocessing and cleaning, transformation, data mining, and interpretation/evaluation of results.

HIPAA Security Rule safeguards are administrative, physical, and technical; technical controls include authentication, role-based access, audit trails, and encryption.

PICO structures evidence-based practice questions as Population/Patient, Intervention, Comparison, Outcome; systematic reviews and meta-analyses rank highest in evidence hierarchies.

Alert fatigue arises from excessive, duplicated, or low-specificity alerts; mitigation includes severity tiering, narrowing trigger logic, and monitoring clinician override rates.

The 21st Century Cures Act information blocking rule prohibits practices that unreasonably interfere with access, exchange, or use of electronic health information, subject to ONC-defined exceptions, and supports patient electronic access to their data.

E-iatrogenesis is patient harm caused by health IT design, use, or misuse - wrong-patient selection, copy-and-paste propagation, confusing displays, or alert overload - and is addressed through usability testing and safety event reporting.

The Nurse Licensure Compact grants a multistate license allowing practice in all member states, a key consideration for telehealth and cross-state virtual care.

The ANA Code of Ethics obligates nurses to protect privacy and confidentiality, maintain competence, and advocate for patients; informatics practice applies these duties to data security, social media, and secondary data use.

Just culture distinguishes human error (console), at-risk behavior (coach), and reckless behavior (sanction), which increases reporting of technology-related safety events.

Algorithmic bias occurs when predictive models trained on unrepresentative data produce inequitable recommendations; mitigation includes auditing model performance across patient populations.

Current trends shaping practice include telehealth and remote patient monitoring, wearables, patient portals and consumer health informatics, FHIR-based interoperability, artificial intelligence and machine learning, and precision health.

Key professional bodies and policy actors include ANIA, HIMSS, AMIA, ANA, and the Office of the National Coordinator for Health IT, which sets national health IT policy and certification direction.

DIKW hierarchy: data are discrete objective facts without interpretation; information is data placed in context; knowledge is synthesized information with identified relationships; wisdom is the judicious application of knowledge to decision-making.

ANA defines nursing informatics as a specialty integrating nursing science, computer science, and information science to manage and communicate data, information, knowledge, and wisdom in nursing practice.

ANA recognized nursing informatics as a specialty in 1992, and ANCC administered the first informatics nurse certification examination in 1995.

Foundation of Knowledge model (McGonigle and Mastrian): nurses function as knowledge workers through four processes - knowledge acquisition, knowledge generation, knowledge processing, and knowledge dissemination.

HITECH Act (2009), enacted within ARRA, created Medicare and Medicaid EHR incentive programs, strengthened HIPAA privacy and security enforcement with breach notification, and expanded the role of the Office of the National Coordinator.

Meaningful use proceeded in stages: Stage 1 data capture and sharing, Stage 2 advanced clinical processes, Stage 3 improved outcomes; the program is now titled Promoting Interoperability.

Standardized nursing terminologies enable comparable, reusable nursing data: NANDA-I for diagnoses, NIC for interventions, NOC for outcomes, plus the Omaha System, Clinical Care Classification, and ICNP.

Informatics role titles include informatics nurse, informatics nurse specialist, clinical analyst, CNIO, and CMIO; competencies span computer literacy, informatics knowledge, and informatics skills.

Benner's novice-to-expert model is applied to informatics competency, progressing from rule-based beginner performance to fluid, expert use of data in clinical judgment.

System development life cycle: planning, analysis, design, implementation, and maintenance/evaluation; each phase yields defined deliverables and a review gate before the next phase begins.

Functional requirements state what the system must do (for example, calculate a weight-based dose); non-functional requirements state constraints such as performance, availability, security, and usability.

Gap analysis compares the current-state workflow, mapped with flowcharts or process maps, against the desired future state to define what the system or process redesign must change.

Vendor selection tools: RFI gathers vendor capability information, RFP solicits formal proposals against stated requirements and pricing, RFQ requests price quotations, and the contract specifies service level agreements.

Testing order is unit, then integration, then system, then user acceptance testing; UAT is performed by end users to confirm the system supports real clinical workflow before sign-off.

Go-live strategies: big bang activates all users at once (fastest, highest risk), phased moves by unit or module, pilot limits scope to one site first, and parallel runs the legacy and new systems concurrently.

Change management frameworks: Lewin's unfreeze-change-refreeze, Kotter's eight steps, and ADKAR (Awareness, Desire, Knowledge, Ability, Reinforcement).

The triple constraint of scope, time, and cost governs projects; scope creep is uncontrolled scope expansion and is controlled through formal change control review.

Interoperability standards: HL7 version 2 messaging, CDA/C-CDA documents, FHIR APIs, DICOM for imaging, and X12 for claims, with SNOMED CT, LOINC, RxNorm, and ICD-10 as terminologies.

FMEA is a prospective risk assessment performed before go-live; root cause analysis is a retrospective method used after an adverse event occurs.

Data quality dimensions include accuracy, completeness, consistency, timeliness, validity, precision, and uniqueness; poor input quality propagates into unreliable reports and unsafe decisions.

Relational database structure: tables contain records (rows) and fields (columns); the primary key uniquely identifies a row, foreign keys link tables, and normalization reduces redundancy and anomaly.

A data warehouse holds integrated, subject-oriented, time-variant data for analysis; a data mart is a departmental subset of the warehouse; a data lake stores raw structured and unstructured data.

Analytics levels: descriptive (what happened), diagnostic (why it happened), predictive (what is likely to happen), prescriptive (what action should be taken).

The Five Rights of clinical decision support: right information, to the right person, in the right intervention format, through the right channel, at the right time in the workflow.

Knowledge discovery in databases follows selection, preprocessing and cleaning, transformation, data mining, and interpretation/evaluation of results.

HIPAA Security Rule safeguards are administrative, physical, and technical; technical controls include authentication, role-based access, audit trails, and encryption.

PICO structures evidence-based practice questions as Population/Patient, Intervention, Comparison, Outcome; systematic reviews and meta-analyses rank highest in evidence hierarchies.

Alert fatigue arises from excessive, duplicated, or low-specificity alerts; mitigation includes severity tiering, narrowing trigger logic, and monitoring clinician override rates.

The 21st Century Cures Act information blocking rule prohibits practices that unreasonably interfere with access, exchange, or use of electronic health information, subject to ONC-defined exceptions, and supports patient electronic access to their data.

E-iatrogenesis is patient harm caused by health IT design, use, or misuse - wrong-patient selection, copy-and-paste propagation, confusing displays, or alert overload - and is addressed through usability testing and safety event reporting.

The Nurse Licensure Compact grants a multistate license allowing practice in all member states, a key consideration for telehealth and cross-state virtual care.

The ANA Code of Ethics obligates nurses to protect privacy and confidentiality, maintain competence, and advocate for patients; informatics practice applies these duties to data security, social media, and secondary data use.

Just culture distinguishes human error (console), at-risk behavior (coach), and reckless behavior (sanction), which increases reporting of technology-related safety events.

Algorithmic bias occurs when predictive models trained on unrepresentative data produce inequitable recommendations; mitigation includes auditing model performance across patient populations.

Current trends shaping practice include telehealth and remote patient monitoring, wearables, patient portals and consumer health informatics, FHIR-based interoperability, artificial intelligence and machine learning, and precision health.

Key professional bodies and policy actors include ANIA, HIMSS, AMIA, ANA, and the Office of the National Coordinator for Health IT, which sets national health IT policy and certification direction.

DIKW hierarchy: data are discrete objective facts without interpretation; information is data placed in context; knowledge is synthesized information with identified relationships; wisdom is the judicious application of knowledge to decision-making.

ANA defines nursing informatics as a specialty integrating nursing science, computer science, and information science to manage and communicate data, information, knowledge, and wisdom in nursing practice.

ANA recognized nursing informatics as a specialty in 1992, and ANCC administered the first informatics nurse certification examination in 1995.

Foundation of Knowledge model (McGonigle and Mastrian): nurses function as knowledge workers through four processes - knowledge acquisition, knowledge generation, knowledge processing, and knowledge dissemination.

HITECH Act (2009), enacted within ARRA, created Medicare and Medicaid EHR incentive programs, strengthened HIPAA privacy and security enforcement with breach notification, and expanded the role of the Office of the National Coordinator.

Meaningful use proceeded in stages: Stage 1 data capture and sharing, Stage 2 advanced clinical processes, Stage 3 improved outcomes; the program is now titled Promoting Interoperability.

Standardized nursing terminologies enable comparable, reusable nursing data: NANDA-I for diagnoses, NIC for interventions, NOC for outcomes, plus the Omaha System, Clinical Care Classification, and ICNP.

Informatics role titles include informatics nurse, informatics nurse specialist, clinical analyst, CNIO, and CMIO; competencies span computer literacy, informatics knowledge, and informatics skills.

Benner's novice-to-expert model is applied to informatics competency, progressing from rule-based beginner performance to fluid, expert use of data in clinical judgment.

System development life cycle: planning, analysis, design, implementation, and maintenance/evaluation; each phase yields defined deliverables and a review gate before the next phase begins.

Functional requirements state what the system must do (for example, calculate a weight-based dose); non-functional requirements state constraints such as performance, availability, security, and usability.

Gap analysis compares the current-state workflow, mapped with flowcharts or process maps, against the desired future state to define what the system or process redesign must change.

Vendor selection tools: RFI gathers vendor capability information, RFP solicits formal proposals against stated requirements and pricing, RFQ requests price quotations, and the contract specifies service level agreements.

Testing order is unit, then integration, then system, then user acceptance testing; UAT is performed by end users to confirm the system supports real clinical workflow before sign-off.

Go-live strategies: big bang activates all users at once (fastest, highest risk), phased moves by unit or module, pilot limits scope to one site first, and parallel runs the legacy and new systems concurrently.

Change management frameworks: Lewin's unfreeze-change-refreeze, Kotter's eight steps, and ADKAR (Awareness, Desire, Knowledge, Ability, Reinforcement).

The triple constraint of scope, time, and cost governs projects; scope creep is uncontrolled scope expansion and is controlled through formal change control review.

Interoperability standards: HL7 version 2 messaging, CDA/C-CDA documents, FHIR APIs, DICOM for imaging, and X12 for claims, with SNOMED CT, LOINC, RxNorm, and ICD-10 as terminologies.

FMEA is a prospective risk assessment performed before go-live; root cause analysis is a retrospective method used after an adverse event occurs.

Data quality dimensions include accuracy, completeness, consistency, timeliness, validity, precision, and uniqueness; poor input quality propagates into unreliable reports and unsafe decisions.

Relational database structure: tables contain records (rows) and fields (columns); the primary key uniquely identifies a row, foreign keys link tables, and normalization reduces redundancy and anomaly.

A data warehouse holds integrated, subject-oriented, time-variant data for analysis; a data mart is a departmental subset of the warehouse; a data lake stores raw structured and unstructured data.

Analytics levels: descriptive (what happened), diagnostic (why it happened), predictive (what is likely to happen), prescriptive (what action should be taken).

The Five Rights of clinical decision support: right information, to the right person, in the right intervention format, through the right channel, at the right time in the workflow.

Knowledge discovery in databases follows selection, preprocessing and cleaning, transformation, data mining, and interpretation/evaluation of results.

HIPAA Security Rule safeguards are administrative, physical, and technical; technical controls include authentication, role-based access, audit trails, and encryption.

PICO structures evidence-based practice questions as Population/Patient, Intervention, Comparison, Outcome; systematic reviews and meta-analyses rank highest in evidence hierarchies.

Alert fatigue arises from excessive, duplicated, or low-specificity alerts; mitigation includes severity tiering, narrowing trigger logic, and monitoring clinician override rates.

The 21st Century Cures Act information blocking rule prohibits practices that unreasonably interfere with access, exchange, or use of electronic health information, subject to ONC-defined exceptions, and supports patient electronic access to their data.

E-iatrogenesis is patient harm caused by health IT design, use, or misuse - wrong-patient selection, copy-and-paste propagation, confusing displays, or alert overload - and is addressed through usability testing and safety event reporting.

The Nurse Licensure Compact grants a multistate license allowing practice in all member states, a key consideration for telehealth and cross-state virtual care.

The ANA Code of Ethics obligates nurses to protect privacy and confidentiality, maintain competence, and advocate for patients; informatics practice applies these duties to data security, social media, and secondary data use.

Just culture distinguishes human error (console), at-risk behavior (coach), and reckless behavior (sanction), which increases reporting of technology-related safety events.

Algorithmic bias occurs when predictive models trained on unrepresentative data produce inequitable recommendations; mitigation includes auditing model performance across patient populations.

Current trends shaping practice include telehealth and remote patient monitoring, wearables, patient portals and consumer health informatics, FHIR-based interoperability, artificial intelligence and machine learning, and precision health.

Key professional bodies and policy actors include ANIA, HIMSS, AMIA, ANA, and the Office of the National Coordinator for Health IT, which sets national health IT policy and certification direction.

DIKW hierarchy: data are discrete objective facts without interpretation; information is data placed in context; knowledge is synthesized information with identified relationships; wisdom is the judicious application of knowledge to decision-making.

ANA defines nursing informatics as a specialty integrating nursing science, computer science, and information science to manage and communicate data, information, knowledge, and wisdom in nursing practice.

ANA recognized nursing informatics as a specialty in 1992, and ANCC administered the first informatics nurse certification examination in 1995.

Foundation of Knowledge model (McGonigle and Mastrian): nurses function as knowledge workers through four processes - knowledge acquisition, knowledge generation, knowledge processing, and knowledge dissemination.

HITECH Act (2009), enacted within ARRA, created Medicare and Medicaid EHR incentive programs, strengthened HIPAA privacy and security enforcement with breach notification, and expanded the role of the Office of the National Coordinator.

Meaningful use proceeded in stages: Stage 1 data capture and sharing, Stage 2 advanced clinical processes, Stage 3 improved outcomes; the program is now titled Promoting Interoperability.

Standardized nursing terminologies enable comparable, reusable nursing data: NANDA-I for diagnoses, NIC for interventions, NOC for outcomes, plus the Omaha System, Clinical Care Classification, and ICNP.

Informatics role titles include informatics nurse, informatics nurse specialist, clinical analyst, CNIO, and CMIO; competencies span computer literacy, informatics knowledge, and informatics skills.

Benner's novice-to-expert model is applied to informatics competency, progressing from rule-based beginner performance to fluid, expert use of data in clinical judgment.

System development life cycle: planning, analysis, design, implementation, and maintenance/evaluation; each phase yields defined deliverables and a review gate before the next phase begins.

Functional requirements state what the system must do (for example, calculate a weight-based dose); non-functional requirements state constraints such as performance, availability, security, and usability.

Gap analysis compares the current-state workflow, mapped with flowcharts or process maps, against the desired future state to define what the system or process redesign must change.

Vendor selection tools: RFI gathers vendor capability information, RFP solicits formal proposals against stated requirements and pricing, RFQ requests price quotations, and the contract specifies service level agreements.

Testing order is unit, then integration, then system, then user acceptance testing; UAT is performed by end users to confirm the system supports real clinical workflow before sign-off.

Go-live strategies: big bang activates all users at once (fastest, highest risk), phased moves by unit or module, pilot limits scope to one site first, and parallel runs the legacy and new systems concurrently.

Change management frameworks: Lewin's unfreeze-change-refreeze, Kotter's eight steps, and ADKAR (Awareness, Desire, Knowledge, Ability, Reinforcement).

The triple constraint of scope, time, and cost governs projects; scope creep is uncontrolled scope expansion and is controlled through formal change control review.

Interoperability standards: HL7 version 2 messaging, CDA/C-CDA documents, FHIR APIs, DICOM for imaging, and X12 for claims, with SNOMED CT, LOINC, RxNorm, and ICD-10 as terminologies.

FMEA is a prospective risk assessment performed before go-live; root cause analysis is a retrospective method used after an adverse event occurs.

Data quality dimensions include accuracy, completeness, consistency, timeliness, validity, precision, and uniqueness; poor input quality propagates into unreliable reports and unsafe decisions.

Relational database structure: tables contain records (rows) and fields (columns); the primary key uniquely identifies a row, foreign keys link tables, and normalization reduces redundancy and anomaly.

A data warehouse holds integrated, subject-oriented, time-variant data for analysis; a data mart is a departmental subset of the warehouse; a data lake stores raw structured and unstructured data.

Analytics levels: descriptive (what happened), diagnostic (why it happened), predictive (what is likely to happen), prescriptive (what action should be taken).

The Five Rights of clinical decision support: right information, to the right person, in the right intervention format, through the right channel, at the right time in the workflow.

Knowledge discovery in databases follows selection, preprocessing and cleaning, transformation, data mining, and interpretation/evaluation of results.

HIPAA Security Rule safeguards are administrative, physical, and technical; technical controls include authentication, role-based access, audit trails, and encryption.

PICO structures evidence-based practice questions as Population/Patient, Intervention, Comparison, Outcome; systematic reviews and meta-analyses rank highest in evidence hierarchies.

Alert fatigue arises from excessive, duplicated, or low-specificity alerts; mitigation includes severity tiering, narrowing trigger logic, and monitoring clinician override rates.

The 21st Century Cures Act information blocking rule prohibits practices that unreasonably interfere with access, exchange, or use of electronic health information, subject to ONC-defined exceptions, and supports patient electronic access to their data.

E-iatrogenesis is patient harm caused by health IT design, use, or misuse - wrong-patient selection, copy-and-paste propagation, confusing displays, or alert overload - and is addressed through usability testing and safety event reporting.

The Nurse Licensure Compact grants a multistate license allowing practice in all member states, a key consideration for telehealth and cross-state virtual care.

The ANA Code of Ethics obligates nurses to protect privacy and confidentiality, maintain competence, and advocate for patients; informatics practice applies these duties to data security, social media, and secondary data use.

Just culture distinguishes human error (console), at-risk behavior (coach), and reckless behavior (sanction), which increases reporting of technology-related safety events.

Algorithmic bias occurs when predictive models trained on unrepresentative data produce inequitable recommendations; mitigation includes auditing model performance across patient populations.

Current trends shaping practice include telehealth and remote patient monitoring, wearables, patient portals and consumer health informatics, FHIR-based interoperability, artificial intelligence and machine learning, and precision health.

Key professional bodies and policy actors include ANIA, HIMSS, AMIA, ANA, and the Office of the National Coordinator for Health IT, which sets national health IT policy and certification direction.

DIKW hierarchy: data are discrete objective facts without interpretation; information is data placed in context; knowledge is synthesized information with identified relationships; wisdom is the judicious application of knowledge to decision-making.

ANA defines nursing informatics as a specialty integrating nursing science, computer science, and information science to manage and communicate data, information, knowledge, and wisdom in nursing practice.

ANA recognized nursing informatics as a specialty in 1992, and ANCC administered the first informatics nurse certification examination in 1995.

Foundation of Knowledge model (McGonigle and Mastrian): nurses function as knowledge workers through four processes - knowledge acquisition, knowledge generation, knowledge processing, and knowledge dissemination.

HITECH Act (2009), enacted within ARRA, created Medicare and Medicaid EHR incentive programs, strengthened HIPAA privacy and security enforcement with breach notification, and expanded the role of the Office of the National Coordinator.

Meaningful use proceeded in stages: Stage 1 data capture and sharing, Stage 2 advanced clinical processes, Stage 3 improved outcomes; the program is now titled Promoting Interoperability.

Standardized nursing terminologies enable comparable, reusable nursing data: NANDA-I for diagnoses, NIC for interventions, NOC for outcomes, plus the Omaha System, Clinical Care Classification, and ICNP.

Informatics role titles include informatics nurse, informatics nurse specialist, clinical analyst, CNIO, and CMIO; competencies span computer literacy, informatics knowledge, and informatics skills.

Benner's novice-to-expert model is applied to informatics competency, progressing from rule-based beginner performance to fluid, expert use of data in clinical judgment.

System development life cycle: planning, analysis, design, implementation, and maintenance/evaluation; each phase yields defined deliverables and a review gate before the next phase begins.

Functional requirements state what the system must do (for example, calculate a weight-based dose); non-functional requirements state constraints such as performance, availability, security, and usability.

Gap analysis compares the current-state workflow, mapped with flowcharts or process maps, against the desired future state to define what the system or process redesign must change.

Vendor selection tools: RFI gathers vendor capability information, RFP solicits formal proposals against stated requirements and pricing, RFQ requests price quotations, and the contract specifies service level agreements.

Testing order is unit, then integration, then system, then user acceptance testing; UAT is performed by end users to confirm the system supports real clinical workflow before sign-off.

Go-live strategies: big bang activates all users at once (fastest, highest risk), phased moves by unit or module, pilot limits scope to one site first, and parallel runs the legacy and new systems concurrently.

Change management frameworks: Lewin's unfreeze-change-refreeze, Kotter's eight steps, and ADKAR (Awareness, Desire, Knowledge, Ability, Reinforcement).

The triple constraint of scope, time, and cost governs projects; scope creep is uncontrolled scope expansion and is controlled through formal change control review.

Interoperability standards: HL7 version 2 messaging, CDA/C-CDA documents, FHIR APIs, DICOM for imaging, and X12 for claims, with SNOMED CT, LOINC, RxNorm, and ICD-10 as terminologies.

FMEA is a prospective risk assessment performed before go-live; root cause analysis is a retrospective method used after an adverse event occurs.

Data quality dimensions include accuracy, completeness, consistency, timeliness, validity, precision, and uniqueness; poor input quality propagates into unreliable reports and unsafe decisions.

Relational database structure: tables contain records (rows) and fields (columns); the primary key uniquely identifies a row, foreign keys link tables, and normalization reduces redundancy and anomaly.

A data warehouse holds integrated, subject-oriented, time-variant data for analysis; a data mart is a departmental subset of the warehouse; a data lake stores raw structured and unstructured data.

Analytics levels: descriptive (what happened), diagnostic (why it happened), predictive (what is likely to happen), prescriptive (what action should be taken).

The Five Rights of clinical decision support: right information, to the right person, in the right intervention format, through the right channel, at the right time in the workflow.

Knowledge discovery in databases follows selection, preprocessing and cleaning, transformation, data mining, and interpretation/evaluation of results.

HIPAA Security Rule safeguards are administrative, physical, and technical; technical controls include authentication, role-based access, audit trails, and encryption.

PICO structures evidence-based practice questions as Population/Patient, Intervention, Comparison, Outcome; systematic reviews and meta-analyses rank highest in evidence hierarchies.

Alert fatigue arises from excessive, duplicated, or low-specificity alerts; mitigation includes severity tiering, narrowing trigger logic, and monitoring clinician override rates.

The 21st Century Cures Act information blocking rule prohibits practices that unreasonably interfere with access, exchange, or use of electronic health information, subject to ONC-defined exceptions, and supports patient electronic access to their data.

E-iatrogenesis is patient harm caused by health IT design, use, or misuse - wrong-patient selection, copy-and-paste propagation, confusing displays, or alert overload - and is addressed through usability testing and safety event reporting.

The Nurse Licensure Compact grants a multistate license allowing practice in all member states, a key consideration for telehealth and cross-state virtual care.

The ANA Code of Ethics obligates nurses to protect privacy and confidentiality, maintain competence, and advocate for patients; informatics practice applies these duties to data security, social media, and secondary data use.

Just culture distinguishes human error (console), at-risk behavior (coach), and reckless behavior (sanction), which increases reporting of technology-related safety events.

Algorithmic bias occurs when predictive models trained on unrepresentative data produce inequitable recommendations; mitigation includes auditing model performance across patient populations.

Current trends shaping practice include telehealth and remote patient monitoring, wearables, patient portals and consumer health informatics, FHIR-based interoperability, artificial intelligence and machine learning, and precision health.

Key professional bodies and policy actors include ANIA, HIMSS, AMIA, ANA, and the Office of the National Coordinator for Health IT, which sets national health IT policy and certification direction.

DIKW hierarchy: data are discrete objective facts without interpretation; information is data placed in context; knowledge is synthesized information with identified relationships; wisdom is the judicious application of knowledge to decision-making.

ANA defines nursing informatics as a specialty integrating nursing science, computer science, and information science to manage and communicate data, information, knowledge, and wisdom in nursing practice.

ANA recognized nursing informatics as a specialty in 1992, and ANCC administered the first informatics nurse certification examination in 1995.

Foundation of Knowledge model (McGonigle and Mastrian): nurses function as knowledge workers through four processes - knowledge acquisition, knowledge generation, knowledge processing, and knowledge dissemination.

HITECH Act (2009), enacted within ARRA, created Medicare and Medicaid EHR incentive programs, strengthened HIPAA privacy and security enforcement with breach notification, and expanded the role of the Office of the National Coordinator.

Meaningful use proceeded in stages: Stage 1 data capture and sharing, Stage 2 advanced clinical processes, Stage 3 improved outcomes; the program is now titled Promoting Interoperability.

Standardized nursing terminologies enable comparable, reusable nursing data: NANDA-I for diagnoses, NIC for interventions, NOC for outcomes, plus the Omaha System, Clinical Care Classification, and ICNP.

Informatics role titles include informatics nurse, informatics nurse specialist, clinical analyst, CNIO, and CMIO; competencies span computer literacy, informatics knowledge, and informatics skills.

Benner's novice-to-expert model is applied to informatics competency, progressing from rule-based beginner performance to fluid, expert use of data in clinical judgment.

System development life cycle: planning, analysis, design, implementation, and maintenance/evaluation; each phase yields defined deliverables and a review gate before the next phase begins.

Functional requirements state what the system must do (for example, calculate a weight-based dose); non-functional requirements state constraints such as performance, availability, security, and usability.

Gap analysis compares the current-state workflow, mapped with flowcharts or process maps, against the desired future state to define what the system or process redesign must change.

Vendor selection tools: RFI gathers vendor capability information, RFP solicits formal proposals against stated requirements and pricing, RFQ requests price quotations, and the contract specifies service level agreements.

Testing order is unit, then integration, then system, then user acceptance testing; UAT is performed by end users to confirm the system supports real clinical workflow before sign-off.

Go-live strategies: big bang activates all users at once (fastest, highest risk), phased moves by unit or module, pilot limits scope to one site first, and parallel runs the legacy and new systems concurrently.

Change management frameworks: Lewin's unfreeze-change-refreeze, Kotter's eight steps, and ADKAR (Awareness, Desire, Knowledge, Ability, Reinforcement).

The triple constraint of scope, time, and cost governs projects; scope creep is uncontrolled scope expansion and is controlled through formal change control review.

Interoperability standards: HL7 version 2 messaging, CDA/C-CDA documents, FHIR APIs, DICOM for imaging, and X12 for claims, with SNOMED CT, LOINC, RxNorm, and ICD-10 as terminologies.

FMEA is a prospective risk assessment performed before go-live; root cause analysis is a retrospective method used after an adverse event occurs.

Data quality dimensions include accuracy, completeness, consistency, timeliness, validity, precision, and uniqueness; poor input quality propagates into unreliable reports and unsafe decisions.

Relational database structure: tables contain records (rows) and fields (columns); the primary key uniquely identifies a row, foreign keys link tables, and normalization reduces redundancy and anomaly.

A data warehouse holds integrated, subject-oriented, time-variant data for analysis; a data mart is a departmental subset of the warehouse; a data lake stores raw structured and unstructured data.

Analytics levels: descriptive (what happened), diagnostic (why it happened), predictive (what is likely to happen), prescriptive (what action should be taken).

The Five Rights of clinical decision support: right information, to the right person, in the right intervention format, through the right channel, at the right time in the workflow.

Knowledge discovery in databases follows selection, preprocessing and cleaning, transformation, data mining, and interpretation/evaluation of results.

HIPAA Security Rule safeguards are administrative, physical, and technical; technical controls include authentication, role-based access, audit trails, and encryption.

PICO structures evidence-based practice questions as Population/Patient, Intervention, Comparison, Outcome; systematic reviews and meta-analyses rank highest in evidence hierarchies.

Alert fatigue arises from excessive, duplicated, or low-specificity alerts; mitigation includes severity tiering, narrowing trigger logic, and monitoring clinician override rates.

The 21st Century Cures Act information blocking rule prohibits practices that unreasonably interfere with access, exchange, or use of electronic health information, subject to ONC-defined exceptions, and supports patient electronic access to their data.

E-iatrogenesis is patient harm caused by health IT design, use, or misuse - wrong-patient selection, copy-and-paste propagation, confusing displays, or alert overload - and is addressed through usability testing and safety event reporting.

The Nurse Licensure Compact grants a multistate license allowing practice in all member states, a key consideration for telehealth and cross-state virtual care.

The ANA Code of Ethics obligates nurses to protect privacy and confidentiality, maintain competence, and advocate for patients; informatics practice applies these duties to data security, social media, and secondary data use.

Just culture distinguishes human error (console), at-risk behavior (coach), and reckless behavior (sanction), which increases reporting of technology-related safety events.

Algorithmic bias occurs when predictive models trained on unrepresentative data produce inequitable recommendations; mitigation includes auditing model performance across patient populations.

Current trends shaping practice include telehealth and remote patient monitoring, wearables, patient portals and consumer health informatics, FHIR-based interoperability, artificial intelligence and machine learning, and precision health.

Key professional bodies and policy actors include ANIA, HIMSS, AMIA, ANA, and the Office of the National Coordinator for Health IT, which sets national health IT policy and certification direction.