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| Section | Objectives |
|---|---|
| Topic 1: Privacy, Security, and Data Governance | - Data privacy and confidentiality - Cybersecurity principles in healthcare systems |
| Topic 2: Health Information Systems | - System lifecycle and implementation - System selection and evaluation |
| Topic 3: Information Technology | - IT infrastructure and architecture - Data management and interoperability |
| Topic 4: Healthcare Environment | - Healthcare policy, regulations, and standards - Healthcare delivery systems and stakeholders |
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NEW QUESTION # 70
How is system performance testing defined?
Answer: D
Explanation:
System performance testing is the structured evaluation of how well an application or infrastructure performs against predefined, measurable performance criteria under specified workload conditions. In healthcare technology environments, these criteria typically include response time, throughput (transactions per second), concurrent user capacity, CPU/memory utilization, database performance, and interface/message processing times-benchmarked against agreed standards such as "95% of chart lookups complete within X seconds with Y concurrent users." That is why the best definition is performance "in accordance with defined system load performance standards." Option A describes stress testing more specifically, which focuses on behavior under extreme or peak loads (often beyond expected capacity) to identify breaking points and failure modes. Option C aligns with user acceptance testing (UAT) , which validates the solution meets workflow and functional expectations from end users, not necessarily technical performance benchmarks. Option D suggests testing in production, which may occur as monitoring or controlled validation, but performance testing is typically executed in a dedicated test environment that mirrors production so results are repeatable and risk is minimized. For EHRs and clinical systems, proper performance testing is essential to prevent delays that can disrupt care delivery and patient safety.
NEW QUESTION # 71
An emergency department requested a study of laboratory turn-around times. A review shows peak patient arrivals during weekend evening hours. When should sampling of turn-around occur to obtain the MOST reliable data?
Answer: C
Explanation:
To obtain the most reliable laboratory turnaround time (TAT) data for an emergency department, sampling must be representative of the full operating reality , not concentrated only in one high-volume window.
Although the review shows peak arrivals during weekend evenings , TAT performance is influenced by multiple time-dependent factors: staffing levels in the ED and lab, specimen transport coverage, analyzer workload, competing inpatient priorities, courier schedules, and shifts/hand-offs. If sampling occurs only on weekend evenings (or only on weekends), the study risks systematic bias by over-representing peak congestion conditions and under-representing baseline performance during non-peak periods.
Therefore, sampling across varied weekday and weekend hours produces the most reliable dataset because it captures both peak and non-peak operations, different staffing patterns (day/evening/night), and weekday- versus-weekend workflow differences. This broader sampling supports stronger conclusions about true average performance, variability, and whether delays are isolated to peak demand periods or occur across the week. It also enables better root-cause analysis (e.g., shift-related bottlenecks, transport gaps, batching behavior) and more credible improvement recommendations. Random weekend-only sampling or intermittent peak-only sampling may be easier, but it is less representative and therefore less reliable for organization- wide decisions.
NEW QUESTION # 72
Which of the following, if used properly, will reduce medical errors and improve patient safety?
Answer: A
Explanation:
Computerized Provider Order Entry (CPOE) reduces medical errors and improves patient safety by replacing handwritten, verbal, or free-form ordering with standardized, legible, and structured electronic orders . The biggest safety impact occurs when CPOE is tightly integrated with clinical decision support -for example, checking allergies, duplicate therapies, drug-drug interactions, dose ranges, renal dosing guidance, and contraindications at the time the order is placed. This "front-end" prevention is critical because many serious medication and diagnostic errors originate during ordering, before pharmacy verification or nursing administration. CPOE also reduces transcription errors by eliminating re-entry of orders and supporting standardized order sets aligned with evidence-based protocols (e.g., VTE prophylaxis, sepsis bundles), which improves consistency and decreases omissions.
By comparison, CIS (Clinical Information System) is a broad term that can include many tools; it may support safety but does not specify the specific mechanism of order-entry error reduction. CMV is not a standard safety technology category in this context, and CQM (Clinical Quality Measures) focuses on measurement
/reporting of performance rather than directly preventing errors at the point of care. When implemented with good workflow design, training, and governance, CPOE is a direct, proven informatics intervention to reduce preventable errors and enhance patient safety.
NEW QUESTION # 73
A risk response plan includes swapping desktops for laptops for physicians to eliminate the risk of physicians failing to adopt a new Electronic Health Record (EHR). This is an example of
Answer: B
Explanation:
Risk avoidance involves changing a project plan to eliminate a threat entirely , rather than merely reducing its probability or impact. In this scenario, leadership identifies the risk that physicians may resist or fail to adopt the new EHR system due to workflow inconvenience or lack of mobility. By replacing desktop computers with laptops, the organization alters the work environment to remove a key barrier to adoption-thereby eliminating the root cause of the identified risk. This proactive adjustment represents risk avoidance because it restructures the approach so that the risk condition no longer exists in its original form.
Risk mitigation, by contrast, would reduce the likelihood or impact of non-adoption (for example, through training or support programs) but would not fully remove the underlying barrier. Risk transference shifts responsibility to another party (such as through insurance or outsourcing). Risk acceptance acknowledges the risk without taking preventive action.
Within healthcare IT governance and project management frameworks aligned with HIMSS principles, risk avoidance is appropriate when the organization can feasibly change scope, technology, or workflow to eliminate a significant adoption threat. Ensuring clinician engagement and usability is critical for EHR success, and structural changes that remove adoption barriers exemplify risk avoidance.
NEW QUESTION # 74
An MPI system assigns each patient a
Answer: D
Explanation:
A Master Patient Index (MPI) is a core health information management function that supports accurate patient identity matching across an organization's clinical and administrative systems. Its central purpose is to ensure that each patient's records-encounters, lab results, imaging, medications, allergies, and billing information- are correctly linked to the right individual, even when the patient receives care at multiple locations or has multiple registrations. To accomplish this, an MPI assigns (and maintains) a unique person identifier for each patient. This identifier serves as the consistent "key" used to connect records from different systems and prevent duplicate charts or overlay errors (where one patient's information is mistakenly filed under another's record).
The other choices do not align with what an MPI does. A prescription number relates to a medication order
/dispense transaction, not a person. "Master population index" is not something that is "assigned" to the patient; it is the system/process itself (sometimes called an enterprise master patient index). A medical provider identifier applies to clinicians, not patients. In practice, MPI integrity is supported by demographic attributes (name, DOB, address, phone), matching algorithms, and governance processes for duplicate resolution-built around the patient's unique person identifier .
NEW QUESTION # 75
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