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HIMSS CPHIMS Exam Syllabus Topics:

SectionObjectives
Privacy, Security, and Data Governance- Data privacy and confidentiality
- Cybersecurity principles in healthcare systems
Health Information Systems- System selection and evaluation
- System lifecycle and implementation
Healthcare Environment- Healthcare policy, regulations, and standards
- Healthcare delivery systems and stakeholders
Information Technology- Data management and interoperability
- IT infrastructure and architecture

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HIMSS Certified Professional in Healthcare Information and Management Systems Sample Questions (Q86-Q91):

NEW QUESTION # 86
Which of the following best defines Healthcare Informatics?

Answer: A

Explanation:
Healthcare Informatics is best defined as the intersection of healthcare, information science, and technology .
This definition reflects the multidisciplinary nature of the field, which integrates clinical practice, information management, data science, human factors, and computing technologies to improve patient care, safety, quality, and operational effectiveness. Healthcare informatics is not limited to software development or analytics; it includes the design, implementation, evaluation, and optimization of systems such as EHRs, clinical decision support, interoperability frameworks, data governance structures, and workflow redesign efforts.
Option B is too narrow and focuses mainly on business and analytics functions. Option C describes public health informatics, which is a subset of healthcare informatics but not the full scope. Option D focuses primarily on system development and technical components, overlooking the clinical, organizational, and socio-technical dimensions central to informatics practice.
Healthcare informatics emphasizes how information is structured, shared, interpreted, and applied in clinical and operational settings to support evidence-based care, regulatory compliance, and performance improvement. Therefore, the most accurate and comprehensive definition is the intersection of healthcare, information science, and technology.


NEW QUESTION # 87
A consultant has been tasked to evaluate the intake process of the emergency department. Which of the following should the consultant do FIRST?

Answer: C

Explanation:
The first step in evaluating an emergency department (ED) intake process is to understand how the work is currently performed, end-to-end, across people, tasks, information, and enabling technologies. Workflow analysis comes first because it establishes the "current state" process map: who performs each step (registration, triage, bed assignment), what information is collected, where delays occur, how handoffs happen, what systems are used (EHR, tracking board), and where rework or duplication exists. This aligns with health IT and process-improvement best practices emphasized in healthcare information and management contexts: you cannot accurately measure, simulate, or compare a process until you have clearly defined it.
A time study (measuring durations and wait times) is valuable, but it should be guided by the workflow map so the consultant measures the right segments and interprets delays correctly (e.g., delay due to staffing vs.
documentation bottlenecks). Simulation is typically performed after workflow and data collection to test
"what-if" changes (staffing models, fast-track pathways). Benchmarking is also later-stage because comparing to peers is only meaningful when the organization's process boundaries and definitions are consistent and well understood. Therefore, workflow analysis is the correct first action.


NEW QUESTION # 88
A CIO is hearing from staff members that the team needs additional resources to be successful with maintaining all of the organization's current systems. The MOST appropriate first step for the CIO would be to:

Answer: C

Explanation:
The most appropriate first step is to establish an objective, evidence-based baseline of operational performance and customer experience. In health IT management practice, staffing assertions must be validated against measurable service performance (e.g., ticket volumes, backlog aging, mean time to resolve, change success rate, system uptime/availability, on-call burden, cybersecurity response times) and against how well IT services are meeting clinical and business expectations (e.g., clinician satisfaction, recurring downtime complaints, escalation frequency). This aligns with foundational governance and service management principles emphasized in healthcare information systems leadership: decisions about resourcing should be driven by data, risk, and service obligations to patient care-not by anecdote alone.
Option A (polling) can be useful later, but it is subjective and may reflect local pain points rather than enterprise priorities. Option C (budget adjustment) presumes the solution (more headcount) before diagnosing whether the issue is demand, process, tooling, skill mix, or governance. Option D (process improvement) also jumps to intervention without first confirming where performance gaps exist and how severe they are. By starting with metrics and stakeholder perception, the CIO can perform a defensible gap analysis and then determine whether the right remedy is additional FTEs, reallocation, automation, vendor support, training, or process redesign.


NEW QUESTION # 89
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 # 90
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 # 91
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