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| Section | Objectives |
|---|---|
| Healthcare Environment | - Healthcare delivery systems and stakeholders - Healthcare policy, regulations, and standards |
| Privacy, Security, and Data Governance | - Data privacy and confidentiality - Cybersecurity principles in healthcare systems |
| Information Technology | - Data management and interoperability - IT infrastructure and architecture |
| Health Information Systems | - System selection and evaluation - System lifecycle and implementation |
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NEW QUESTION # 12
Which of the following tools provides communication technology for remote medical services?
Answer: D
Explanation:
Telemedicine is the tool that directly provides communication technology for remote medical services . It enables real-time (synchronous) or asynchronous clinical interactions between healthcare providers and patients using telecommunications technologies such as video conferencing, secure messaging, and remote consultation platforms. Telemedicine supports virtual visits, remote diagnosis, follow-up consultations, behavioral health sessions, and specialty consults without requiring the patient to be physically present in a healthcare facility. It is specifically designed to deliver clinical care at a distance.
Patient portals primarily facilitate secure messaging, appointment scheduling, and access to health records; while they support communication, they are not themselves the comprehensive remote care delivery platform.
Wearable devices collect physiologic data (e.g., heart rate, activity levels), but they do not inherently provide clinical communication services. Telemonitoring focuses on remote monitoring of patient health data (e.g., blood pressure, glucose levels) and may support care management, but it does not necessarily include direct interactive communication between patient and provider.
Thus, the option that best represents communication technology specifically intended for remote medical services is Telemedicine .
NEW QUESTION # 13
An approach that is based on well-designed studies is referred to as
Answer: B
Explanation:
Evidence-based practice (EBP) is the approach to care and decision-making that relies on the best available scientific evidence-typically derived from well-designed research studies-combined with clinical expertise and patient preferences. In clinical informatics, EBP is foundational because many informatics tools (such as clinical decision support, order sets, care pathways, and alerts) should be designed and optimized using evidence that demonstrates improved outcomes, reduced risk, or enhanced efficiency. When clinical workflows are digitized, informatics teams translate research findings into standardized, measurable interventions within the clinical information system, ensuring that the system promotes safe and effective care.
The other options do not match the definition. The Pareto principle (80/20 rule) is a prioritization concept used in quality improvement and management, not a research-based clinical approach. Beta testing is a software testing phase conducted before full release to identify defects and usability issues. Best practice is a broader term that may describe commonly accepted methods, but it does not necessarily indicate that the approach is grounded in rigorous, well-designed studies-best practices can emerge from expert consensus, experience, or local success without strong research evidence. Because the question explicitly emphasizes
"well-designed studies," evidence-based practice is the most accurate term.
NEW QUESTION # 14
How is system performance testing defined?
Answer: A
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 # 15
Vendor A provides a major clinical system for an organization. Vendor B has an interface from the clinical system to a billing system. Over the weekend, vendor A upgraded the clinical system and vendor B upgraded the interface to the billing system. On Monday morning, the billing system has errors. After failing to adequately resolve the issue in-house, the IT manager should contact
Answer: A
Explanation:
Because two interdependent components changed at the same time -the core clinical system (Vendor A) and the interface engine/interface build (Vendor B)-the most appropriate escalation is to engage both vendors .
Interface failures after concurrent upgrades commonly stem from version compatibility issues (e.g., updated message formats, changed field mappings, new code sets, modified API endpoints, altered authentication, or stricter validation rules). Even if the error appears "in billing," the root cause may originate upstream in the clinical system's outbound messages or in the interface transformation logic that sits between systems.
Best practice in healthcare systems management is coordinated vendor triage: confirm upgrade versions, review release notes for breaking changes, validate interface specifications, and compare pre-/post-upgrade message samples. Involving both vendors speeds resolution because each controls different layers of the transaction path-Vendor A for source data creation/export and Vendor B for interface routing, translation, acknowledgments, and delivery to billing. Contacting only one vendor risks slow back-and-forth and "fault isolation" disputes. Legal/contracting is typically reserved for unresolved service-level or contractual disputes, not initial technical remediation. By escalating to both vendors, the IT manager enables joint troubleshooting, faster restoration of revenue-cycle workflows, and reduced operational risk.
NEW QUESTION # 16
Which of the following would be considered part of an EHR quantitative data set?
Answer: C
Explanation:
Quantitative data in an Electronic Health Record (EHR) refers to structured, numeric, and measurable data elements that can be directly analyzed using statistical and computational methods. Lab values clearly fit this definition because they consist of discrete numerical results (e.g., hemoglobin level, potassium concentration, blood glucose measurement) that are recorded in standardized units and can be trended over time. These values support clinical decision support systems (CDSS), quality reporting, population health management, and predictive analytics.
Radiology reports and progress notes are primarily qualitative, narrative text documents . While they may contain some numeric elements, their core content is unstructured free text, making them less directly usable for quantitative analysis without natural language processing. Medication records may include structured components (e.g., dosage, frequency), but they are generally considered part of medication management documentation rather than purely quantitative datasets in the strict sense of numeric measurement values.
Within clinical informatics frameworks, structured quantitative data such as lab results enable automated alerts, clinical pathways, benchmarking, and outcomes measurement. Because they are discrete, codified, and standardized, lab values are foundational to data analytics, interoperability, and evidence-based care-making Lab values the correct answer.
NEW QUESTION # 17
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