Week 3 Flashcards

1
Q

describes how nurses
interact with data, information,
knowledge, and wisdom
dynamically

A

The Foundation of Knowledge
Model

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2
Q

Gathering data and information
from various sources, including clinical tools and patient interactions.

A

Knowledge Acquisition.

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3
Q

Organizing and analyzing the
acquired data to form meaningful information.

A

Knowledge Processing.

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4
Q

Creating new knowledge
through insights, critical thinking, and problem-solving based on processed information

A

Knowledge Generation.

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5
Q

Sharing knowledge with colleagues, patients, and stakeholders for improved outcomes

A

Knowledge Dissemination.

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6
Q

Using a pulse oximeter to
gather oxygen saturation data

A

Knowledge Acquisition.

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7
Q

Comparing results to
normal ranges.

A

Knowledge Processing.

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8
Q

Determining the need for
oxygen therapy.

A

Knowledge Generation.

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9
Q

Communicating
findings to the healthcare team

A

Knowledge Dissemination.

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10
Q

Focuses on patient care and
clinical knowledge. Provides the clinical expertise
and understanding needed for patient care.

A

Nursing Science.

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11
Q

Provides tools such as
electronic health records (EHRs), mobile health
apps, and decision support systems.

A

Computer Science.

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12
Q

effective organization,
storage, and retrieval of healthcare data for
decision-making

A

Information Science.

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13
Q

DIKW FRAMEWORK

A

The Data-Information-Knowledge-Wisdom (DIKW)
Framework explains the flow from raw data to
actionable wisdom in clinical practice:

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14
Q

Raw facts, such as blood pressure readings.

A

Data

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15
Q

Contextualized data, such as identifying high blood pressure as hypertension.

A

Information

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16
Q

Applying clinical expertise to determine
the cause and appropriate treatment.

17
Q

Using experience and judgment to decide
the best course of action

18
Q

Blood pressure readings from the wearable device,
e.g., 160/100 mmHg.
• Patient-reported symptoms like headaches or dizziness
collected through the telehealth platform.

19
Q

The readings are consistently above normal,
suggesting poorly controlled hypertension.
• The nurse correlates the readings with the patient’s
symptoms to identify the need for intervention

A

Information

20
Q

The nurse uses clinical expertise to conclude
that the patient may not be adhering to prescribed
medications or dietary guidelines.
• The nurse evaluates the treatment plan, considering the
patient’s history and medication regimen.

21
Q

The nurse initiates a video consultation to
counsel the patient on adherence and updates the
treatment plan in collaboration with the physician.
• A follow-up schedule is created to ensure the patient’s
blood pressure stabilizes over time

22
Q

The telehealth platform and wearable blood
pressure monitor allow real-time tracking of
the patient’s blood pressure.
• A wearable device transmits blood
pressure data to the telehealth app, and
the nurse monitors this remotely

A

Computer Science

23
Q

The patient’s blood pressure data is stored in
their EHR. Algorithms analyze trends and alert
the care team when abnormal readings are
detected.
• A critical spike in blood pressure triggers
an alert for the nurse to intervene
promptly

A

Information Science

24
Q

The telehealth platform and wearable blood
pressure monitor allow real-time tracking of
the patient’s blood pressure.
• A wearable device transmits blood
pressure data to the telehealth app, and
the nurse monitors this remotely.

A

Computer Science

25
Raw blood pressure readings (Data) become actionable insights (Knowledge) that inform clinical decisions (Wisdom).
DIKW FRAMEWORK
26
Wearable devices (e.g., Fitbit) track steps and vitals. Mobile health apps for medication reminders and chronic disease management. Nurses act as knowledge disseminators, teaching patients how to use these tools to improve self-care and manage conditions
Patient-Centered Tools
27
Converts spoken words into text, allowing nurses to document patient encounters efficiently.
Real-Time Transcription:
28
Enables hands-free navigation of EHRs, improving workflow efficiency
Voice Commands:
29
Nuance offers Dragon Medical One, an AI-powered speech recognition tool that integrates with various EHR systems. Features include:
Nuance's Dragon Medical One
30
AI assists in drafting patient progress notes, reducing documentation time for nurses.
Automated Clinical Note Generation:
31
The system can generate draft responses to patient inquiries, streamlining communication.
Enhanced Patient Communication:
32
AI aids in accurate coding, ensuring proper billing and record-keeping.
Medical Coding Assistance:
33