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| Section | Weight | Objectives |
|---|---|---|
| Technology Environment | 27% | - Data and Information Management
|
| Related Topics | 20% | - Healthcare Reform and Trends
|
| Healthcare Environment | 26% | - Clinical and Business Terminology
|
| Systems Management | 27% | - Governance and Management
|
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NEW QUESTION # 76
Digital health apps and fitness tracking devices can add patients' health data to their Electronic Health Records (EHR) by using a(n):
Answer: C
Explanation:
An Application Programming Interface (API) is the standard technology mechanism that allows digital health apps and consumer fitness devices to exchange data with an EHR in a controlled, automated way.
APIs define the rules for how one software system can request data from, or send data to, another system- typically using secure authentication, authorization, and standardized data formats. In modern healthcare interoperability, APIs enable patient-generated health data (PGHD) such as heart rate, activity, sleep, glucose readings, and blood pressure measurements to flow into clinical systems where it can be reviewed, trended, and incorporated into care plans. This approach supports patient engagement and more continuous monitoring beyond traditional clinical visits.
The other options do not fit this function. CUI is a U.S. government information classification concept and is not a data exchange method for EHR integration. EDI is primarily used for structured business transactions (such as eligibility checks and claims submissions) rather than streaming wellness-device metrics into clinical records. VDM (virtual desktop) is a way to deliver a desktop computing environment remotely; it does not provide a standardized pathway for device/app data ingestion into an EHR. Therefore, the best answer is API .
NEW QUESTION # 77
What public health benefit can be derived from data collected from social media and internet search engines?
Answer: A
Explanation:
Data from social media and internet search engines can provide a public health benefit through the revelation of associations and patterns (Option D). These data sources are often high-volume, rapidly generated, and reflective of real-time behaviors-such as symptom searching, discussions of illness, medication side effects, or concerns about local outbreaks. When analyzed appropriately, they can help identify emerging trends , detect unusual clusters of symptoms, and signal potential outbreaks earlier than traditional reporting pathways that depend on clinical visits, laboratory confirmation, and formal case reporting. Pattern and association discovery is a core capability of analytics and informatics: mining large datasets to find relationships (e.g., increases in searches for "fever and cough" correlated with rising influenza-like illness) and temporal
/geographic trends that support situational awareness and targeted interventions.
The other options are less directly tied to a public health "benefit." Data visualization (A) and statistical analysis (B) are methods that can be applied to many datasets but do not describe the specific actionable value derived from these unconventional sources. Discovering data types (C) is a technical characterization and not a direct public health outcome. In contrast, identifying patterns and associations can inform earlier surveillance, resource planning, risk communication, and focused prevention strategies-making D the best answer.
NEW QUESTION # 78
Protocol and integration of an oncology Electronic Medical Record (EMR) with a hospital electronic health record system is an example of which of the following?
Answer: D
Explanation:
Integrating an oncology EMR with a hospital EHR using defined protocols is an example of interoperability because it focuses on the ability of two different health information systems to communicate, exchange data, and use the information that has been exchanged . In practice, oncology care often involves specialized workflows (chemotherapy ordering, regimen management, infusion documentation, staging, tumor markers) that may be supported by a dedicated oncology system. When that system is integrated with the enterprise EHR, key data such as medication orders, allergies, lab results, problem lists, care plans, and treatment summaries can flow between systems to support coordinated care, reduce duplicate entry, and improve safety (e.g., ensuring the hospital record reflects high-risk oncology medications and related monitoring requirements).
This scenario is not best described as Health Information Exchange (HIE) , which typically refers to exchanging health information across organizations or through regional/national exchange networks. It is also not telehealth , which is care delivery at a distance, nor a patient portal , which is a patient-facing access tool. The core concept here is system-to-system integration enabling data exchange and usability- therefore, interoperability is the correct answer.
NEW QUESTION # 79
After a new pharmacy dispensing system is implemented, issues are reported regarding pharmacies not being able to process prescriptions that were received before the cutover to the new system. Which testing phase could have identified this issue?
Answer: D
Explanation:
Acceptance testing (User Acceptance Testing/UAT) is the testing phase most likely to identify an inability to process prescriptions that existed before cutover , because UAT validates that the solution supports real operational workflows and business requirements under conditions that mirror production use. A key go-live risk in pharmacy system replacement is data conversion and continuity of care : prescriptions entered in the legacy system prior to cutover must be accessible and actionable in the new environment (e.g., visible in work queues, eligible for verification, dispensing, labeling, adjudication, and documentation). In well-designed acceptance testing, users execute scripted scenarios that include "pre-cutover" items-converted orders, historical prescriptions, and in-flight work-specifically to confirm that the new system can safely continue processing without interruption.
By comparison, unit testing focuses on individual components and would not validate end-to-end prescription processing across converted legacy data. System integration testing emphasizes interfaces between systems (e.
g., EHR-to-pharmacy, claims, automation) but may not adequately validate business readiness with converted pre-cutover prescriptions unless explicitly included. Regression testing checks that changes did not break previously working functions, but it is not the primary phase for validating cutover continuity. Therefore, acceptance testing is the best answer.
NEW QUESTION # 80
A software program that converts audio analog to a digital signal for dictation is:
Answer: B
Explanation:
Voice recognition software (also called speech recognition) is used in clinical documentation workflows to capture spoken dictation and convert it into a digital form that the system can process-typically producing text and/or a digital dictation file that can be stored, edited, and routed within the EHR or transcription workflow. In healthcare settings, clinicians often dictate notes, operative reports, and discharge summaries.
Voice recognition technology digitizes the spoken input and applies recognition algorithms to transform speech into structured text, supporting faster documentation turnaround and improved availability of clinical notes.
By contrast, text-to-speech converts written text into spoken audio output (the reverse direction). A voice response system (interactive voice response/IVR) is primarily used for telephone-based automated menus and information capture (e.g., appointment reminders or patient self-service), not clinician dictation. Virtual reality software supports immersive simulation or training environments and is unrelated to converting dictation audio for documentation.
From a clinical informatics perspective, voice recognition is important because it can reduce reliance on manual transcription, speed documentation completion, and support more timely information availability for care teams-provided it is implemented with quality controls to manage recognition errors and maintain documentation accuracy.
NEW QUESTION # 81
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