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WGU D220 Information Technology in Nursing Practice 2026/2027 – Mastery Guide, OA Practice Exam & Quizlet | Nursing Informatics & Healthcare Tech (Western Governors University)

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Master WGU D220 Nursing Informatics fast. This 2026/2027 mastery guide for IT in Nursing Practice includes a detailed study bundle, OA-aligned practice exam, and key term reviews. Pass your assessment with confidence.

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Subido en
16 de diciembre de 2025
Número de páginas
30
Escrito en
2025/2026
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Examen
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WGU D220: INFORMATION
TECHNOLOGY IN NURSING PRACTICE –
2026/2027 MASTERY GUIDE &
PRACTICE EXAM

PART 1: ESSENTIAL INFORMATICS CONCEPTS
SUMMARY
Domain A: Foundations of Nursing Informatics

●​ Definition: Nursing informatics integrates nursing science with information and
analytical sciences to identify, define, manage, and communicate data, information,
knowledge, and wisdom in nursing practice.
●​ Nurse Informaticist Roles: Facilitate EHR implementation, design clinical
workflows, train staff, ensure system usability, and support evidence-based practice
through data analysis.
●​ DIKW Model:
○​ Data: Raw facts (e.g., patient temperature = 101.2°F)
○​ Information: Organized data with context (e.g., fever noted at 3 PM post-op)
○​ Knowledge: Synthesis of information to guide action (e.g., fever may indicate
infection)
○​ Wisdom: Application of knowledge ethically for patient benefit (e.g., initiating
sepsis protocol)
●​ ANA Scope & Standards (2026): Emphasizes informatics competencies for all
nurses, including data literacy, system evaluation, and ethical use of technology.
●​ Impact on Nursing: Enhances clinical decision-making, reduces errors, supports
documentation efficiency, and enables population health management.

Domain B: Healthcare Information Systems (HIS)

●​ EHR vs. EMR: EMR = digital chart within one organization; EHR = interoperable
record sharing across settings (per ONC 2026 standards).
●​ PHR: Patient-controlled health record (e.g., Apple Health, MyChart PHR module).
●​ CDSS: Provides real-time alerts (e.g., drug-allergy interactions, sepsis prediction);
must be evidence-based and non-intrusive.
●​ CPOE: Eliminates handwritten orders; reduces medication errors by 55% (AHRQ,
2026).
●​ BCMA: Scans patient wristband and medication barcode before administration—part
of the "Five Rights" verification.

, ●​ Pharmacy Systems: Integrate with CPOE for dose checking, formulary compliance,
and automated dispensing.
●​ Telehealth Platforms: HIPAA-compliant video/conferencing tools (e.g., Zoom for
Healthcare, Doxy.me) enabling remote assessments and chronic disease
management.

Domain C: Data, Information, & Knowledge Management

●​ Data Integrity: Requires accuracy (correct values), timeliness (real-time entry),
completeness (all required fields), and consistency (standardized terms, e.g.,
SNOMED CT, LOINC).
●​ Databases: Structured collections (e.g., SQL) storing patient data; relational
databases link tables (e.g., patient → medications).
●​ Data Warehousing: Central repository for aggregated, historical data from multiple
sources for reporting and analytics.
●​ Data Mining: Using algorithms to discover patterns (e.g., predicting hospital
readmissions).
●​ EBP Integration: Nurses use dashboards and clinical registries to access current
evidence and benchmark outcomes.

Domain D: Privacy, Security, & Ethical/Legal Compliance

●​ HIPAA Privacy Rule: Governs use/disclosure of PHI; requires patient consent for
non-treatment uses.
●​ HIPAA Security Rule: Mandates administrative, physical, and technical safeguards
for electronic PHI (ePHI).
●​ PHI Examples: Name, DOB, MRN, diagnosis, lab results—18 identifiers under
HIPAA.
●​ Authentication: Multi-factor (e.g., password + biometric) required per NIST 2026
guidelines.
●​ Encryption: Data must be encrypted in transit (TLS 1.3+) and at rest (AES-256).
●​ Audit Trails: System logs tracking who accessed/modified records—critical for
breach investigations.
●​ Ethical Principles: Beneficence (use tech to improve care), Non-maleficence
(prevent harm via poor design), Autonomy (patient control over data).

Domain E: Technology-Enhanced Care & Patient Engagement

●​ Patient Portals: Secure messaging, appointment scheduling, lab result
viewing—enhances shared decision-making.
●​ Wearables & RPM: Devices (e.g., ECG patches, glucose monitors) transmit
real-time data to clinicians for proactive intervention.
●​ mHealth Apps: Must be FDA-cleared if diagnostic (e.g., Apple AFib detection);
nurses educate on validated apps only.
●​ User-Centered Design: Tools should be accessible (ADA-compliant), intuitive, and
culturally appropriate—tested with diverse patient groups.

, Domain F: Professional Development & Emerging Trends

●​ Digital Literacy: Core competency for all nurses—includes EHR navigation, data
interpretation, and tech troubleshooting.
●​ AI/ML: Used for early sepsis detection, imaging analysis, and predictive staffing;
nurses validate outputs and retain final decision authority.
●​ Interoperability: HL7 FHIR (Fast Healthcare Interoperability Resources) is the 2026
standard for EHR data exchange via APIs.
●​ IoMT: Network of connected devices (infusion pumps, monitors) generating real-time
data streams for analytics.
●​ Lifelong Learning: Required via CEUs on informatics topics (e.g., ONC Health IT
Playbook updates).


PART 2: COMPREHENSIVE PRACTICE EXAM

1. According to the American Nurses Association (ANA) Scope and Standards of Nursing
Informatics (2026), which activity is a foundational competency for all registered nurses?


A) Designing EHR database schemas


B) Leading hospital-wide informatics strategic planning


C) Using health information systems to support clinical decision-making


D) Writing SQL queries for clinical data extraction


Answer: C


The ANA emphasizes that all nurses must use technology to enhance care, regardless of
role. Options A, B, and D describe advanced informaticist functions, not baseline
competencies for every RN.


2. A nurse reviews a patient’s temperature trend in the EHR and correlates it with new-onset
confusion to suspect a urinary tract infection. This action best represents which level of the
DIKW model?


A) Data


B) Information


C) Knowledge


D) Wisdom
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