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| Section | Objectives |
|---|---|
| Health Information Systems | - System selection and evaluation - System lifecycle and implementation |
| Information Technology | - Data management and interoperability - IT infrastructure and architecture |
| Privacy, Security, and Data Governance | - Cybersecurity principles in healthcare systems - Data privacy and confidentiality |
| Healthcare Environment | - Healthcare delivery systems and stakeholders - Healthcare policy, regulations, and standards |
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NEW QUESTION # 86
Which of the following represents challenges in data quality in today's healthcare environment?
Answer: B
Explanation:
One of the most significant challenges affecting data quality in today's healthcare environment is the sheer volume of data generated . Modern healthcare systems produce massive amounts of information from EHRs, laboratory systems, imaging systems, wearable devices, remote monitoring tools, billing systems, and health information exchanges. As data volume increases, maintaining accuracy, completeness, consistency, timeliness, and integrity becomes more complex. Large datasets increase the likelihood of duplicate records, missing values, inconsistent coding, delayed documentation, and data entry errors. Additionally, high data volume places strain on governance processes, validation controls, and analytic oversight.
Option B (lack of patient portals) relates more to patient engagement than to intrinsic data quality challenges.
Option C (a variety of data dimensions) reflects complexity but does not directly define a core data quality problem; dimensional diversity can be managed through proper data modeling. Option D (lack of system interoperability) is primarily an exchange and integration issue rather than a direct data quality characteristic, although it can indirectly impact data consistency.
In healthcare information management frameworks, data quality challenges are often associated with the "3 Vs" of big data-volume, velocity, and variety-with volume being a primary driver of quality management complexity.
NEW QUESTION # 87
Which of the following quality assurance (QA) processes can help prevent data-entry errors?
Answer: C
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 # 88
During which of the following system development life cycle stages should security FIRST be addressed?
Answer: A
Explanation:
Security should be addressed first during requirements development because that is the earliest point in the system development life cycle (SDLC) where the organization defines what the system must do , including essential safeguards for confidentiality, integrity, and availability of health information. In healthcare environments, requirements must explicitly capture privacy and security needs such as role-based access control, authentication strength, audit logging, encryption expectations, downtime/backup requirements, and regulatory obligations for protected health information. If these controls are not defined up front, downstream phases may produce designs and builds that cannot feasibly support required protections without expensive rework.
While design specification is where requirements are translated into architecture and technical controls, design can only be correct if it is driven by complete and validated security requirements. Unit testing and integration testing occur much later and focus on verifying that code modules and system interfaces function properly; security testing at those stages is important, but it is not the first opportunity to ensure the system is built to meet security needs. Addressing security early supports "security by design," reduces vulnerabilities introduced by poor assumptions, and helps ensure the final solution aligns with patient safety, clinical operations, and compliance expectations.
NEW QUESTION # 89
Which of the following systems provide physicians with patient safety checks such as maximum dose limit?
Answer: A
Explanation:
Clinical decision support (CDS) is the system capability that provides physicians with patient safety checks such as maximum dose limits, dose-range checking, allergy and drug-drug interaction alerts, duplicate therapy warnings, contraindication notifications, and guideline-based recommendations. These checks are triggered within the clinical workflow-often during computerized provider order entry (CPOE)-so that when a clinician selects a medication, dose, route, or frequency, the CDS engine evaluates the order against medication knowledge bases and patient-specific factors (age, weight, renal function, allergies, current meds).
If the intended dose exceeds safe thresholds or conflicts with patient parameters, CDS generates warnings or
"hard stops," helping prevent adverse drug events before the order is finalized.
A drug vocabulary (or medication terminology/knowledge base) supplies standardized medication identifiers and reference information, but by itself it does not deliver active, workflow-based safety checking; CDS uses that vocabulary as an input. A data warehouse supports analytics and reporting, typically retrospective, rather than real-time prescribing checks. A clinical repository stores clinical data for access and exchange; it does not inherently apply rules to interrupt unsafe ordering in real time. Therefore, the correct answer is Clinical decision support .
NEW QUESTION # 90
A healthcare organization is scheduled to decommission 400 computers. An employee committee suggests the computers should be donated to a local charity. Which of the following is the MOST relevant IT policy?
Answer: D
Explanation:
The most relevant IT policy is the media disposal policy because donating decommissioned computers creates a high-risk pathway for unintentional disclosure of sensitive data , including ePHI. Even if the organization's intent is charitable, any storage media inside those computers (hard drives, SSDs, removable media) may contain patient information, employee data, cached credentials, configuration files, audit logs, or locally stored documents. A media disposal policy defines the required processes to prevent data leakage when equipment leaves organizational control, including asset inventory and tracking, approved sanitization methods, verification/validation of data destruction, documentation, and chain-of-custody controls .
In healthcare, secure disposal (or re-use/donation) typically requires sanitization aligned to organizational standards-such as cryptographic wiping, secure erase procedures, degaussing where appropriate, or physical destruction-plus records showing which assets were sanitized, by whom, when, and using what method. This ensures compliance with privacy and security obligations and reduces breach risk.
Conflict of interest and charitable contribution policies may apply to governance and ethics, but they do not address the core IT control required before donation: ensuring all data is irretrievably removed. Release of information policies focus on authorized disclosure of patient records, not device-level data sanitization.
Therefore, media disposal policy is the correct choice.
NEW QUESTION # 91
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