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| Section | Objectives |
|---|---|
| Information Technology | - IT infrastructure and architecture - Data management and interoperability |
| Health Information Systems | - System lifecycle and implementation - System selection and evaluation |
| Healthcare Environment | - Healthcare policy, regulations, and standards - Healthcare delivery systems and stakeholders |
| Privacy, Security, and Data Governance | - Cybersecurity principles in healthcare systems - Data privacy and confidentiality |
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NEW QUESTION # 97
Digital health apps and fitness tracking devices can add patients' health data to their Electronic Health Records (EHR) by using a(n):
Answer: C
NEW QUESTION # 98
Which of the following quality assurance (QA) processes can help prevent data-entry errors?
Answer: A
Explanation:
Performing automatic data checks is the QA process that most directly prevents data-entry errors because it applies validation at the moment data is captured. In healthcare information systems, automatic checks are implemented as input controls such as required fields, format validation (e.g., date formats), range checks (e.
g., physiologic plausibility for vitals), logic checks (e.g., discharge date cannot precede admit date), code-set validation (e.g., selecting from standardized lists), and duplicate detection (e.g., preventing duplicate orders or records). These controls stop incorrect, incomplete, or inconsistent entries before they become part of the record, which is critical because downstream reporting, clinical decision support, billing, and quality measures all depend on accurate source data.
By comparison, data quality audits primarily detect errors after entry by reviewing records and identifying discrepancies for correction; they are essential for monitoring but are not preventive at the point of entry.
Defining characteristics of data in a data dictionary improves consistency and supports correct mapping and interpretation, but it does not by itself block user keystroke mistakes unless translated into system validation rules. Correcting flawed protocols improves processes, yet errors can still occur without real-time system checks. Therefore, automatic data checks are the best preventive QA mechanism for data-entry errors.
NEW QUESTION # 99
Which of the following scenarios is MOST likely to violate the business ethics of a not-for-profit healthcare organization?
Answer: A
Explanation:
Option B is most likely to violate business ethics because it represents a personal benefit provided by a vendor that is unrelated to legitimate business or educational purposes . Paying for a CIO to attend a premier sporting event creates the appearance of undue influence, conflict of interest, or inducement in vendor selection or contract management decisions. Not-for-profit healthcare organizations are held to high standards of fiduciary responsibility, transparency, and stewardship of public trust. Accepting entertainment or luxury travel from a vendor can compromise-or appear to compromise-objective decision-making.
Option A may be permissible if the travel is directly related to professional speaking engagement and complies with organizational conflict-of-interest policies and disclosure requirements. Option C involves a shared nominal-value gift distributed broadly, which may fall within allowable gift policy thresholds depending on institutional rules. Option D describes a potential conflict of interest; however, if the employee is fully disclosed and recused from the decision-making process, governance controls can mitigate ethical risk.
In healthcare leadership and information systems management, maintaining vendor neutrality, transparency, and strict adherence to conflict-of-interest policies is essential to uphold ethical standards and organizational integrity
NEW QUESTION # 100
To improve accountability, the directors of materials and information management have decided to consolidate asset management. Which of the following should be done FIRST?
Answer: D
Explanation:
When consolidating asset (or inventory) management to improve accountability, the first priority is establishing a trustworthy baseline of what assets and stock actually exist, where they are located, and how they are recorded. That is why validating current inventory should be done first. If item masters, quantities on hand, serial/lot information, locations, and ownership/custody data are inaccurate, any later step-such as setting par levels or calculating inventory turns-will be built on incorrect inputs and can worsen shortages, expirations, and uncontrolled spend. Validation typically includes physical counts or cycle counts, reconciliation against system records, resolving duplicates in item catalogs, confirming units of measure, and aligning location and department assignments.
Only after the current state is validated does it make sense to assess par levels (which depend on accurate usage and replenishment data) and evaluate inventory turns (which require reliable on-hand values and consumption history). Similarly, merging inventory systems before cleansing and validation risks carrying forward bad data into the consolidated environment, making accountability harder rather than easier. In healthcare settings-where supplies and equipment affect patient care, charge capture, and compliance- inventory validation is the foundation step that enables effective consolidation and measurable accountability.
NEW QUESTION # 101
Which of the following best defines Healthcare Informatics?
Answer: B
Explanation:
Healthcare Informatics is best defined as the intersection of healthcare, information science, and technology .
This definition reflects the multidisciplinary nature of the field, which integrates clinical practice, information management, data science, human factors, and computing technologies to improve patient care, safety, quality, and operational effectiveness. Healthcare informatics is not limited to software development or analytics; it includes the design, implementation, evaluation, and optimization of systems such as EHRs, clinical decision support, interoperability frameworks, data governance structures, and workflow redesign efforts.
Option B is too narrow and focuses mainly on business and analytics functions. Option C describes public health informatics, which is a subset of healthcare informatics but not the full scope. Option D focuses primarily on system development and technical components, overlooking the clinical, organizational, and socio-technical dimensions central to informatics practice.
Healthcare informatics emphasizes how information is structured, shared, interpreted, and applied in clinical and operational settings to support evidence-based care, regulatory compliance, and performance improvement. Therefore, the most accurate and comprehensive definition is the intersection of healthcare, information science, and technology.
NEW QUESTION # 102
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