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| Section | Objectives |
|---|---|
| Health Information Systems | - System lifecycle and implementation - System selection and evaluation |
| Information Technology | - IT infrastructure and architecture - Data management and interoperability |
| Privacy, Security, and Data Governance | - Data privacy and confidentiality - Cybersecurity principles in healthcare systems |
| Healthcare Environment | - Healthcare policy, regulations, and standards - Healthcare delivery systems and stakeholders |
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12. Frage
Effective health information exchange requires:
Antwort: D
Begründung:
Effective health information exchange (HIE) fundamentally depends on accurate patient identification , which is achieved through a reliable Master Patient Index (MPI) . An MPI is a core component of interoperability infrastructure that maintains unique identifiers for patients across different systems and organizations. When health data is exchanged between hospitals, clinics, laboratories, and other entities, the receiving system must correctly match the incoming data to the appropriate patient record. Without accurate patient matching, there is significant risk of duplicate records, overlay errors (information assigned to the wrong patient), incomplete clinical histories, and potential patient safety events.
Remote patient monitoring and clinical decision support are valuable digital health capabilities, but they are not foundational requirements for HIE functionality. Transcription software efficiency relates to documentation workflow and does not directly impact cross-organizational data exchange. In contrast, MPI accuracy ensures that demographic data elements-such as name, date of birth, address, and other identifiers-are properly reconciled to support safe and reliable interoperability.
Within healthcare information systems management, strong MPI governance, standardized demographic data capture, and ongoing data quality monitoring are essential best practices. Therefore, Master Patient Index accuracy is the critical requirement for effective health information exchange.
13. Frage
A consulting firm was hired to discover causes of medication errors for a healthcare facility. Data was collected and analyzed within a 3-month period. Which of the following is the BEST way to display the results of the analysis?
Antwort: B
Begründung:
A Pareto chart is the best way to display results when the goal is to communicate the most common causes of medication errors and prioritize improvement actions. In medication safety and quality management, error causes are usually categorized (e.g., wrong dose, wrong patient, transcription issues, look-alike/sound-alike drugs, override of alerts, labeling problems). A Pareto chart sorts these categories from highest to lowest frequency and typically includes a cumulative percentage line, making it easy to see which "vital few" causes account for the majority of errors. This aligns with the Pareto principle (often described as 80/20), supporting leadership decisions about where interventions will yield the greatest impact (training, workflow redesign, decision support tuning, barcode scanning compliance, etc.).
A control chart is designed to monitor a process over time and distinguish common-cause from special- cause variation; it is excellent for tracking monthly error rates but not for ranking causes. A flowchart maps steps in a process and helps identify where errors might occur, but it does not summarize analyzed frequency results. A histogram shows the distribution of numeric data (e.g., time-to-administer), not categorical root- cause frequencies. Therefore, the Pareto chart best displays the analysis of error causes.
14. Frage
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?
Antwort: D
Begründung:
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.
15. Frage
During which stage in a cloud computing adoption model would a SWOT analysis be used?
Antwort: A
Begründung:
A SWOT analysis is best used during the Planning stage of a cloud computing adoption model because it is a strategic tool intended to shape decisions before execution begins. In healthcare technology environments, moving to cloud services (IaaS, PaaS, SaaS) requires early alignment of business goals, clinical priorities, risk tolerance, regulatory obligations, and technical readiness. SWOT supports that planning work by identifying internal strengths (e.g., strong governance, mature security program, skilled infrastructure team), internal weaknesses (e.g., legacy integrations, limited identity management maturity, bandwidth constraints), external opportunities (e.g., scalability for analytics, improved disaster recovery, vendor-managed security capabilities, faster deployment), and external threats (e.g., cybersecurity exposure, compliance risks, vendor lock-in, outages, data residency concerns).
These insights help leaders decide what to migrate first, what to keep on-premise, what controls must be strengthened, and how to structure vendor contracts and service-level expectations. In contrast, the Evaluation stage typically focuses on comparing solutions and validating requirements through assessments, proofs-of- concept, and cost/risk analysis. Action is the implementation and migration execution. Follow-up is optimization, monitoring, and continuous improvement after go-live. Because SWOT informs strategic direction and readiness planning, Planning is the correct stage.
16. Frage
To improve accountability, the directors of materials and information management have decided to consolidate asset management. Which of the following should be done FIRST?
Antwort: B
Begründung:
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.
17. Frage
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