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| Section | Objectives |
|---|---|
| Healthcare Environment | - Healthcare policy, regulations, and standards - Healthcare delivery systems and stakeholders |
| 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 | - Cybersecurity principles in healthcare systems - Data privacy and confidentiality |
>> New CPHIMS Exam Question <<
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NEW QUESTION # 64
An approach that is based on well-designed studies is referred to as
Answer: C
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 # 65
Which of the following systems supports all five rights of medication administration?
Answer: B
Explanation:
Bar coded medication administration (BCMA) is the system specifically designed to support the "five rights" of medication administration- right patient, right drug, right dose, right route, and right time -by adding point-of-care barcode scanning and electronic verification within the medication-use workflow. In practice, BCMA requires the clinician to scan identifiers (commonly the patient wristband and the medication barcode). The clinical system then cross-checks the scanned medication against the active medication order and administration schedule, helping to prevent wrong-patient, wrong-drug, wrong-dose, wrong-route, and wrong-time errors before the medication is actually given. This direct bedside validation is what makes BCMA uniquely aligned with the five rights.
By comparison, CPOE primarily improves safety earlier in the process (ordering/prescribing) through legibility, standardization, and decision support, but it does not by itself verify the medication at bedside administration. A MAR/eMAR documents what is scheduled and what was administered; it supports documentation and scheduling but does not inherently enforce barcode-based identity and medication matching. A DSS can provide alerts and guidance, yet it is not a dedicated administration verification mechanism. Therefore, BCMA is the best answer because it directly operationalizes the five rights during medication administration.
NEW QUESTION # 66
Which of the following is the primary function of a project steering committee?
Answer: C
Explanation:
A project steering committee's primary function is to provide oversight of the project . In healthcare information systems initiatives, the steering committee serves as the governance body that ensures the project remains aligned with organizational strategy, clinical priorities, patient safety, regulatory needs, and available resources. Oversight includes setting or approving major direction, validating scope and success criteria, reviewing progress against milestones, monitoring risk, and making high-impact decisions when tradeoffs are required (e.g., timeline vs. scope, workflow standardization vs. local variation). It also establishes accountability across stakeholders-clinical, operational, financial, and IT-and provides executive sponsorship and escalation pathways.
While steering committees often help remove barriers, troubleshooting (A) is a secondary outcome of oversight and escalation rather than the core purpose. Executing milestones (B) is the responsibility of the project team-project manager, analysts, builders, trainers, and operational owners-who perform the day-to- day work. "Meet according to the project plan" (C) describes a procedural detail, not a primary function.
Effective oversight is especially critical in health IT projects because decisions can affect care delivery, clinician workload, data integrity, privacy/security, and operational continuity. Therefore, the best answer is Provide oversight of the project .
NEW QUESTION # 67
How can training staff's effectiveness be best improved?
Answer: C
Explanation:
Training staff are most effective when they are integrated early into the implementation lifecycle- particularly during design and user acceptance testing (UAT) -because this gives them deep, practical understanding of the new workflows, decisions, and real-world usability issues that end users will face. By participating in design sessions, trainers learn the intended future-state processes, policy choices (e.g., documentation standards, order set governance), and role-based responsibilities. Through UAT involvement, trainers observe where users struggle, what steps are error-prone, which screens are confusing, and which workflow workarounds emerge. That insight allows trainers to build targeted curriculum, scenarios, and tip sheets that directly address high-risk tasks and common points of failure-improving adoption, reducing errors, and shortening the productivity dip at go-live.
Option B delays trainer readiness until late, limiting time to develop scenario-based training and incorporate UAT lessons learned. Option C (receiving documents) helps but is insufficient because documents rarely capture the nuanced, operational "how work really happens" details. Option D (training trainers on functions) is necessary but not sufficient; effective healthcare IT training must be workflow- and role-based , not only feature-based. Hence, early empowerment and participation (A) best improves training effectiveness.
NEW QUESTION # 68
Which of the following is MOST important to ensure successful data integration between two systems?
Answer: C
Explanation:
Successful data integration depends first on shared meaning of the data being exchanged. A common data dictionary provides the agreed-upon definitions, formats, permissible values, units of measure, and identifiers for data elements (for example: patient identifiers, encounter numbers, provider IDs, lab test codes, medication codes, and timestamps). Without this shared semantic foundation, two systems may exchange data correctly from a technical standpoint yet still fail operationally because the receiving system interprets data differently (e.g., mismatched code sets, different units such as mg vs. mcg, inconsistent field lengths, or different meanings for "discharge date" vs. "discharge time").
While secure transmission is essential for protecting PHI (e.g., encryption in transit, authentication), it does not ensure that integrated data is accurate, comparable, or usable. The data entry process affects upstream data quality but does not resolve mapping and semantic alignment across systems. Verification of calculations is important for analytics and reporting validation, but it occurs after the underlying data elements have been defined and mapped consistently.
In healthcare information systems management, integration success is measured by correctness and usability across workflows-achieved by standardizing data definitions and mappings through a common data dictionary (often aligned with standards and code sets) before interface build and testing.
NEW QUESTION # 69
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