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INTRODUCTION TO DIGITAL HEALTH : TS. DR. CHAN WENG HOWE, FACULTY OF COMPUTING, DEPARTMENT OF APPLIED COMPUTING AND ARTIFICIAL INTELLIGENCE, UNIVERSITY TECHNOLOGY MALAYSIA (UTM), SKUDAI, JOHOR.

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10 questions
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  • Q1
    Which of the following BEST describes the primary goal of integrating digital technologies into health?
    Improving patient access to quality healthcare services.
    Reducing healthcare costs at all costs.
    Replacing doctors with AI-powered systems.
    Collecting more data on patients without regard for privacy.
    30s
  • Q2
    What is the main advantage of using Large Language Models (LLMs) in drug discovery?
    LLMs can analyze extensive scientific literature to identify potential drug candidates
    LLMs can directly synthesize new medications in a laboratory setting.
    LLMs are generally cheaper than conducting traditional laboratory research
    LLMs can eliminate the need for rigorous clinical trial processes.
    30s
  • Q3
    A fitness tracker that monitors your steps and sleep patterns would be classified as:
    Digital Health
    Digital Therapeutics
    Digital Medicine
    Personalized Medicine
    30s
  • Q4
    Which of the following scenarios BEST exemplifies Digital Medicine?
    A patient using a smartphone app to track their calorie intake.
    An FDA-approved app used to manage a patient’s Type 2 Diabetes through behavioral therapy and personalized feedback.
    Using social media to raise awareness about a public health issue.
    Using a telehealth platform for a remote doctor's appointment.
    30s
  • Q5
    What is the main advantage of using LLMs for clinical decision support?
    LLMs provide personalized medication recommendations based on patient data.
    LLMs can entirely replace the judgment of experienced medical professionals.
    LLMs always provide 100% accurate and definitive diagnoses for patients.
    LLMs can automatically prescribe medications without any human oversight.
    30s
  • Q6
    Which of the following is an example of how Data Analytics and AI are used in digital health for predictive purposes?
    Analyzing patient data to predict the likelihood of readmission.
    Using algorithms to identify fraudulent insurance claims.
    Creating a searchable database of medical literature for research purposes.
    Automatically transcribing doctor-patient conversations.
    30s
  • Q7
    How can XR/VR/AR be used to improve patient engagement and understanding?
    By providing patients with a virtual escape from their illness entirely.
    By automating the process of administering medications remotely.
    By creating immersive experiences to help patients understand their conditions.
    By replacing traditional face-to-face consultations with virtual visits.
    30s
  • Q8
    A wearable device that continuously monitors a patient’s heart rate and sends alerts to their doctor if it detects an abnormality is BEST classified as:
    A mobile health app.
    A patient engagement portal.
    A remote patient monitoring tool.
    A telehealth platform
    30s
  • Q9
    A patient uses a secure online portal to view their lab results, schedule appointments, and communicate with their doctor. This is an example of:
    Remote patient monitoring.
    Mobile health application usage.
    Patient portal-based engagement
    A telehealth consultation.
    30s
  • Q10
    What is the primary goal of Patient Engagement Tools in digital health?
    To automate administrative tasks for healthcare staff.
    To reduce healthcare costs for providers.
    To empower patients to actively participate in their own care.
    To collect more data from the patients for research purposes.
    30s

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