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| Section | Weight | Objectives |
|---|---|---|
| Systems Management | 27% | - Governance and Management
|
| Healthcare Environment | 26% | - Healthcare Data and Information
|
| Technology Environment | 27% | - IT Infrastructure
|
| Related Topics | 20% | - Healthcare Reform and Trends
|
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NEW QUESTION # 96
Which is NOT a type of waste, according to Lean experts?
Answer: C
Explanation:
In Lean management, "waste" (often called muda ) refers to activities that consume resources but do not add value from the customer's perspective-within healthcare, that "customer" is commonly the patient and the care team relying on timely, safe services. Classic Lean frameworks identify specific categories of waste, commonly remembered as TIMWOODS : Transportation, Inventory, Motion, Waiting, Overproduction, Overprocessing, Defects, and Skills (unused talent) . In that list, Waiting , Inventory , and Transportation are all explicitly recognized waste types because they create delays, tie up capital and space, and add risk without improving care. For example, waiting can increase length of stay and frustrate patients; excess inventory can lead to expired supplies; and unnecessary transportation can raise labor cost and increase the chance of loss or error.
Planning , however, is not categorized as a Lean waste type. In fact, effective planning-especially when aligned with standardized work, clear value-stream goals, and stakeholder communication-supports Lean by preventing rework, reducing variation, and improving flow. While "over-planning" could be viewed as overprocessing in some contexts, planning itself is not one of the defined Lean waste categories. Therefore, the correct choice for what is not a Lean waste type is Planning .
NEW QUESTION # 97
Which of the following aspects of cloud computing has benefitted population health?
Answer: C
Explanation:
Population health focuses on improving outcomes for groups of patients by identifying trends, care gaps, and risk factors across communities. The cloud's most direct contribution to this work is increased information sharing . Cloud-based platforms make it easier to aggregate and exchange data from multiple sources- hospitals, clinics, labs, public health agencies, registries, and sometimes patient-generated data-so analysts and care teams can view a more complete picture of a population. With shared, centralized (or federated) data services, organizations can support activities such as chronic disease registries, immunization tracking, outbreak monitoring, risk stratification, and care coordination across settings.
While API interoperability (option B) is important, it is best viewed as an enabling mechanism that supports sharing; the benefit to population health comes from the resulting ability to combine data and collaborate across organizations. Improved patient data privacy (option C) is not an inherent outcome of moving to cloud-privacy depends on governance, configuration, access controls, and compliance practices. Increased data reliability (option D) can be a benefit of mature cloud architectures (redundancy, backups), but reliability alone does not drive population-level insights unless data can be shared and analyzed across sources.
Therefore, the clearest population-health benefit is increased information sharing .
NEW QUESTION # 98
Which standard would be used to communicate patient vital signs from a physiological monitoring system to a clinical information system?
Answer: B
Explanation:
HL7 is the standard most commonly used to communicate clinical data -including patient vital signs-from bedside physiological monitoring systems (e.g., cardiac monitors, bedside monitors) into clinical information systems such as an EHR or a clinical data repository. In practice, HL7 messages (frequently HL7 v2 in many hospitals) support structured transmission of observations and results, allowing vital sign values (heart rate, blood pressure, SpO#, respiratory rate, temperature) to be associated with the correct patient, encounter, date
/time, and sending device/location. This enables automated documentation, trending, clinical decision support, and reduces transcription errors that occur with manual entry, improving timeliness and patient safety.
The other options are not the best fit for this purpose. SOAP is a general web-services messaging protocol that can transport data but is not the healthcare standard typically used for bedside device-to-EHR vital sign feeds in traditional hospital integrations. DICOM is primarily for medical imaging and related imaging workflows, not routine physiologic vital sign observations. SNMP is used for network device monitoring (e.g., tracking routers/switches status) rather than transmitting clinical measurements. Therefore, HL7 is the correct standard for communicating vital signs into clinical systems.
NEW QUESTION # 99
The ability to examine data from various sources and provide information on trends, risks, and financial progress is called
Answer: D
Explanation:
The correct answer is decision support because it refers to the capability to analyze data from multiple sources and transform it into meaningful information that supports informed decision-making. In healthcare information and management systems, decision support tools aggregate clinical, operational, and financial data to identify trends, assess risk, monitor quality indicators, and evaluate financial performance. These systems help leadership and clinicians make evidence-based decisions by providing dashboards, predictive analytics, performance metrics, and alerts.
While data warehousing (Option D) involves collecting and storing large volumes of structured data from different source systems into a centralized repository, it primarily supports storage and organization rather than direct analysis and interpretation. ETL (Extract, Transform, Load) processes are technical mechanisms used to move and prepare data for storage in a warehouse but do not themselves provide analytical insight.
Data harvesting generally refers to collecting data, often from external sources, and does not inherently include analytical interpretation.
In healthcare environments, decision support systems (DSS) are essential for quality improvement, risk management, population health initiatives, regulatory reporting, and financial oversight. By synthesizing multi-source data into actionable intelligence, decision support fulfills the function described in the question.
NEW QUESTION # 100
In reviewing audit logs an analyst finds that a charge nurse, not assigned to a celebrity patient, is reviewing that patient's medical record. Which of the following should the analyst do first?
Answer: A
Explanation:
When an audit log review suggests potential inappropriate access to a patient's record, the first priority is to preserve evidence and maintain an accurate chain of custody . Archiving the security logs ensures the organization retains an immutable snapshot of the access event details-who accessed the chart, timestamps, workstation/device identifiers, actions performed, and any related system context. This preservation step is essential because logs can rotate, be overwritten, or be altered through routine system processes. Without secured logs, a later investigation may be unable to confirm what happened, determine scope, or support corrective and disciplinary actions.
Continuing to monitor (option B) delays response and increases risk of additional improper access. Notifying the risk manager (option C) is an important escalation step, but it should occur after the analyst has ensured the evidence is protected so the investigation can proceed effectively and defensibly. Deleting the logs (option D) is never appropriate; it destroys evidence, undermines compliance obligations, and can create significant legal and regulatory exposure.
In healthcare privacy and security management, suspected inappropriate access is handled through incident response procedures that begin with evidence preservation , then escalation to privacy, compliance, risk management, and HR as required.
NEW QUESTION # 101
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