Week 3 Flashcards
describes how nurses
interact with data, information,
knowledge, and wisdom
dynamically
The Foundation of Knowledge
Model
Gathering data and information
from various sources, including clinical tools and patient interactions.
Knowledge Acquisition.
Organizing and analyzing the
acquired data to form meaningful information.
Knowledge Processing.
Creating new knowledge
through insights, critical thinking, and problem-solving based on processed information
Knowledge Generation.
Sharing knowledge with colleagues, patients, and stakeholders for improved outcomes
Knowledge Dissemination.
Using a pulse oximeter to
gather oxygen saturation data
Knowledge Acquisition.
Comparing results to
normal ranges.
Knowledge Processing.
Determining the need for
oxygen therapy.
Knowledge Generation.
Communicating
findings to the healthcare team
Knowledge Dissemination.
Focuses on patient care and
clinical knowledge. Provides the clinical expertise
and understanding needed for patient care.
Nursing Science.
Provides tools such as
electronic health records (EHRs), mobile health
apps, and decision support systems.
Computer Science.
effective organization,
storage, and retrieval of healthcare data for
decision-making
Information Science.
DIKW FRAMEWORK
The Data-Information-Knowledge-Wisdom (DIKW)
Framework explains the flow from raw data to
actionable wisdom in clinical practice:
Raw facts, such as blood pressure readings.
Data
Contextualized data, such as identifying high blood pressure as hypertension.
Information
Applying clinical expertise to determine
the cause and appropriate treatment.
Knowledge
Using experience and judgment to decide
the best course of action
Wisdom
Blood pressure readings from the wearable device,
e.g., 160/100 mmHg.
• Patient-reported symptoms like headaches or dizziness
collected through the telehealth platform.
Data
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
Information
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.
Knowledge
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
Wisdom
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
Computer Science
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
Information Science
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.
Computer Science
Raw blood pressure readings (Data) become
actionable insights (Knowledge) that inform
clinical decisions (Wisdom).
DIKW FRAMEWORK
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
Converts spoken words into
text, allowing nurses to document patient encounters
efficiently.
Real-Time Transcription:
Enables hands-free navigation of
EHRs, improving workflow efficiency
Voice Commands:
Nuance offers Dragon Medical One, an AI-powered
speech recognition tool that integrates with various EHR
systems. Features include:
Nuance’s Dragon Medical One
AI assists in
drafting patient progress notes, reducing
documentation time for nurses.
Automated Clinical Note Generation:
The system can
generate draft responses to patient inquiries,
streamlining communication.
Enhanced Patient Communication:
AI aids in accurate coding,
ensuring proper billing and record-keeping.
Medical Coding Assistance:
