HIMSS CPHIMS Exam Questions In PDF Format

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HIMSS CPHIMS Exam Syllabus Topics:

SectionWeightObjectives
Healthcare Information and Systems Management30%- Security, privacy and risk management
- Project and change management
- Systems development lifecycle
- Data management and analytics
- Operations and service management
Management and Leadership25%- Organizational behavior and leadership
- Strategic planning and governance
- Financial management
- Workforce planning and development
Healthcare and Technology Environments25%- Regulatory and compliance requirements
- Health data characteristics and exchange
- Technology standards and frameworks
- Healthcare delivery systems
Clinical Informatics20%- Patient safety and quality improvement
- Electronic health records and applications
- Clinical workflow and process analysis
- Clinical decision support

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HIMSS Certified Professional in Healthcare Information and Management Systems Sample Questions (Q18-Q23):

NEW QUESTION # 18
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: D

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 # 19
Digital health apps and fitness tracking devices can add patients' health data to their Electronic Health Records (EHR) by using a(n):

Answer: A


NEW QUESTION # 20
Allocation of resource hours for a new software implementation should be included in the

Answer: A

Explanation:
Allocation of resource hours belongs in the project management plan because this document defines how the project will be executed, monitored, and controlled. A core component of project management is resource planning , which specifies staffing requirements, role assignments, time commitments, effort estimates, and workload distribution across project phases (e.g., design, build, testing, training, go-live, and stabilization).
The project management plan integrates scope, schedule, cost, risk, communications, and resource management into a structured framework that ensures the project remains within constraints.
While an implementation plan outlines the sequence of activities and tasks needed to deploy the software, it does not typically detail comprehensive resource allocation governance. A stakeholder agreement documents roles, responsibilities, and high-level commitments but does not function as the operational resource tracking document. A product roadmap is a strategic planning artifact that shows future enhancements and milestones over time; it is not designed to manage detailed labor allocation.
In healthcare IT implementations-where clinician time, IT analysts, trainers, interface specialists, and support staff must be carefully coordinated-clear documentation of allocated hours in the project management plan is essential to control scope, prevent burnout, and ensure accountability.


NEW QUESTION # 21
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 # 22
Data mining

Answer: A

Explanation:
Data mining refers to the analytical process of examining large datasets to discover hidden patterns, correlations, trends, and relationships that are not immediately apparent through routine reporting. In healthcare information and systems management, data mining plays a critical role in transforming raw clinical, financial, operational, and administrative data into actionable knowledge. Using statistical algorithms, machine learning techniques, clustering, classification, association rule discovery, and predictive modeling, healthcare organizations can uncover insights such as risk factors for readmissions, patterns of medication utilization, disease prevalence trends, fraud detection indicators, and workflow inefficiencies.
Option A describes simulation modeling, which is a different analytical method used to replicate processes for testing scenarios. Option B refers to data warehousing or database management systems, which focus on storage rather than analysis. Option C more closely aligns with predictive analytics or formal research methodology, not specifically data mining itself.
Within healthcare IT governance and HIMSS-aligned informatics principles, data mining supports evidence- based decision-making, quality improvement initiatives, population health management, and strategic planning. By revealing previously undetected relationships in large datasets, healthcare leaders can improve patient outcomes, enhance operational efficiency, reduce costs, and support regulatory reporting requirements.


NEW QUESTION # 23
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