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WGU D220- INFORMATION TECHNOLOGY IN NURSING PRACTICE EXAM 100% CORRECT!!

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computer literacy The ability to use computers for basic tasks, such as developing documents, sending emails and searching the internet for information. Nursing informatics uses information and technology to communicate, manage knowledge, mitigate error, and support decision making Translational Bioinformatics Deals with the storage, analysis, and interpretation of large volumes of data. Clinical research informatics Discovery and management of new knowledge pertinent to health and disease from clinical trials and secondary data use. Clinical Informatics delivery of timely, safe, efficient, effective, evidence-based and patient-centered care consumer health informatics (CHI) focus is on the consumer, or patient, view and the structure and processes that enables consumers to manage their own health. Applications for consumer health informatics: -Personal health record -telehealth -mobile health -games for health -health 2.0 public health informatics surveillance, prevention, health promotion and preparedness Data numbers, characters, or facts gathered for analysis and possible action Information the collection of facts and patterns extracted from data knowledge synthesis of information from several sources to produce a single concept NANDA North American Nursing Diagnosis Association, purpose is to define, refine, and promote a taxonomy of nursing diagnostic terminology of general use to professional nurses. Quantative Methods focus on numbers and frequencies, with the goal of finding relationships or variables specific to an outcome. Qualitative Methods attempt to collect information about the social world that cannot be readily converted to numeric form EBP Evidence-based practice: nursing care provided that is supported by sound scientific rationale Big Data very large data sets that are beyond human capability to analyze or manage without the aid of information technology. information literacy the ability to recognize when information is needed as well as the skills to find, evaluate and use needed information effectively. knowing when specific information is needed, why it is important, and then being able to locate it, evaluate it, and apply it health literacy the degree to which individuals have the capacity to obtain, process, and understand basic health information and services needed to make appropriate health decisions wisdom application of knowledge to manage and solve problems TIGER initiative for technology informatics guiding education reform; advance nurses' competencies related to informatics. Health Information Exchange (HIE) an electronic system that allows physicians, nurses, pharmacists, other health care providers, and patients to appropriately access and securely share a patient's vital medical information. types: -directed exchange:ability to send and receive secure information to other health care providers involved in a patients care over the internet -query-based exchange: healthcare providers the ability to find and/or request information on a patient from other providers and is often used for unplanned/emergency care -consumer mediated exchange: give patients the ability to aggregate and manage their health information on the internet. Data Quality A comprehensive approach to ensuring the accuracy, validity, and timeliness of data. Systems Check A mechanism provided by a computer system to assist users by prompting them to complete a task, verify information, or prevent entry of inappropriate info. Data cleansing/scrubbing A process that weeds out and fixes or discards inconsistent, incorrect, or incomplete information Digitization the process of converting data and information into an electronic format. data governance collection of policies, standards, processes, and controls applied to an organization's data to ensure that it is available to appropriate persons when, where, and in the format needed while maintaining security. data mining Technique used to search and analyze data to reveal patterns and trends in large groups of data using software. Predictive modeling/analytics uses past and current data to forecast the likelihood of an event Business Intelligence integration of business data from different sources to optimize its use and understanding in business decisions. Knowledge discovery in databases (KDD) extraction of implicit, unknown, and potentially useful information from data. Data Modeling a process to define and analyze data requirements to support processes required within an organization. Metadata data that provides information about how, when, and by whom data are collected, formatted, and stored. Knowledge Management (KM) selectively applying knowledge gained from previous experiences and decision-making to current and future situation Knowledge Management Systems sets of information systems that enable organizations to tap into the knowledge, experiences, and creativity of their staff to improve performance. Data Science systematic study of digital data discovery informatics uses scientific models/ theories to create computer based discovery of new learning big data Health Data Sources and Their Limitations Surveys (questionnaires, in-depth interviews) -hard to get detailed information, recall bias, low response rates Med records -only available for people who are ale to get medical care Claims Data (doc appt, bills, insurance) -low validity due to illegal billing practices Vital records (births, deaths, marriages, divorces, fetal death) -records can be inconsistent Surveillance (study of infectious disease) -data can be lacking if doctors do not report it Peer-review Literature HIPPA (Health Insurance Portability and Accountability Act) protects patient privacy and confidentiality within the electronic health record. Outcomes research improve the quality of care through the use of research data to improve outcomes Clinical Decision Support System supports healthcare practitioners in making patient-care decisions by integrating patient data with current knowledge. 5 rights: the right information the right person the right intervention format the right channel the right time in workflow Barriers to finding/using big data in healthcare -incentives to share data -proprietary issues -lack of appropriate infrastructure -data quality -culture -costs -complexity of healthcare -insufficient expertise -a lack of nursing visibility -big promises but limited progress HITECH (Health Information Technology for Economic and Clinical Health Act) Privacy laws related to electronic transmission of health information created to promote the adoption of health information technology as well as to ensure compliance on the institutional level. Electronic Medical Record (EMR) An electronic record of health-related information about an individual that can be created, gathered, managed, and consulted by authorized clinicians and staff within a single healthcare organization.

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DOC ID: WGU-D220-2026-0830 STATUS: 100% CORRECT
PROGRAM: NURSING INFORMATICS STANDARD: WGU D220 2026/2027




E X A M 1 C O M P R E H E N S I V E S T U D Y G U I D E


WGU D220
INFORMATION TECHNOLOGY IN
NURSING PRACTICE
QUESTIONS AND ANSWERS | 100% CORRECT!!




UNIVERSITY COURSE FOCUS EDITION

Western Governors D220 IT in EHR, CDSS, HIPAA, 2026/2027
University (WGU) Nursing Practice Data Analytics & AI




40 4 100 85%
TOTAL QUESTIONS CONTENT SECTIONS TOTAL POINTS PASS THRESHOLD




SEC 1: INFORMATICS & EHR SEC 2: CDSS & TELEHEALTH SEC 3: HIPAA & SECURITY SEC 4: ANALYTICS & 2026




2026 UPDATE | 100% CORRECT | ALREADY PASSED




WESTERN GOVERNORS UNIVERSITY 2026/2027 EDITION D220 OBJECTIVE ASSESSMENT

, Table of Contents
Grading Rubric and Solution Key 2

Section 1: Foundations of Nursing Informatics, EHRs, & Data Standards (Q1-Q10) 4

Section 2: Clinical Decision Support, Telehealth, & Patient Portals (Q11-Q20) 7

Section 3: Information Security, Privacy, HIPAA, & Ethical IT Use (Q21-Q30) 9

Section 4: Data Analytics, Quality Improvement, & 2026 Updates (Q31-Q40) 12

, WGU D220 Information Technology in Nursing Practice | 2026/2027




Grading Rubric and Solution Key
This study guide consists of 40 questions distributed across four major content areas aligned with the Western
Governors University D220 Information Technology in Nursing Practice objective assessment, 2026/2027 academic
standards, and the seamless integration of nursing science with information management and analytical sciences
required for WGU competency-based education. Each question is worth 2.5 points for a total of 100 points. The
following rubric defines scoring criteria, mastery thresholds, and partial credit policies consistent with WGU D220
proficiency standards.


Point Allocation
Each multiple-choice question (Q1-Q40) is valued at 2.5 points. Partial credit of 1.25 points may be awarded for
complex application-level scenarios (e.g., identifying the appropriate standardized terminology for a nursing
diagnosis, selecting the best CDSS feature to prevent a medication error, analyzing a HIPAA violation in a digital
workflow, or interpreting a QI dashboard for a quality improvement initiative) if the candidate correctly identifies the
primary informatics principle but selects a slightly misaligned EHR application or analytical step. No partial credit is
available for recall-level questions testing definitions of informatics concepts, DIKW levels, security protocols, or
technology acronyms.


Mastery Thresholds
Grade A (Target / 100% Correct): 85-100 points (85%+). This score meets the WGU D220 proficiency threshold for
the objective assessment, demonstrating consistent ability to apply nursing informatics principles, navigate EHR
systems effectively, implement clinical decision support, maintain HIPAA compliance, and utilize data analytics for
quality improvement. The candidate is certified as competent in information technology in nursing practice.
Approaching Competency: 70-84 points (70-84%). The candidate demonstrates adequate foundational informatics
knowledge but exhibits inconsistencies in differentiating standardized terminologies, selecting appropriate CDSS
interventions, applying HIPAA Security Rule provisions, or interpreting QI data from clinical dashboards. Focused
review of EHR navigation, data integrity practices, and workflow optimization is recommended.
Below Competency: Below 70 points (<70%). This score indicates significant knowledge gaps requiring
comprehensive remediation of nursing informatics fundamentals, HIPAA regulations, EHR utilization, information
security practices, and data analytics principles before retaking the D220 objective assessment.


Partial Credit Framework
For application and analysis-level questions involving multi-step informatics reasoning, partial credit (1.25 points) is
awarded when the candidate correctly identifies the primary informatics concept (e.g., correctly identifies a HIPAA
violation but selects the wrong reporting timeline, or correctly identifies the need for CDSS but selects alerts instead
of order sets for the scenario). Full credit (2.5 points) requires both accurate concept identification and precise
application aligned with 2026/2027 WGU D220 objectives, ONC interoperability standards, and current HIPAA
regulations.


Cognitive Level Distribution
Recall (30%, 12 questions): Tests fundamental knowledge of the ANA definition of nursing informatics, DIKW
continuum levels, EHR architecture components, HIPAA Privacy and Security Rules, cybersecurity threat types, and
data analytics terminology. Application (50%, 20 questions): Requires selecting standardized terminologies for
specific documentation tasks, choosing CDSS features to prevent clinical errors, applying telehealth workflows to
patient scenarios, implementing security measures for PHI, and using EHR data for quality improvement. Analysis



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