HIM1UDH - Leveraging Generative AI to Develop Interview Assignment Questions

Section 1: AI Interaction Documentation

1.1 AI Tool Selected

1.2 In one sentence, describe why you selected the AI tool in section 1.1:

1.3 What problem or task were you trying to solve using AI?

1.4 What was the first prompt (or set of prompts) you gave to the AI tool

AI-Generated Initial Questions (Raw Output):

1. How would you describe the current state of digital health adoption in your country compared to international trends?

2. What are the biggest opportunities digital technologies (e.g., AI, telemedicine, EHRs) are creating for healthcare systems?

3. In your experience, what are the main challenges healthcare organisations face when implementing new digital solutions?

4. How has the COVID-19 pandemic accelerated the use of digital health tools locally and globally?

5. What role do you see artificial intelligence playing in supporting clinical decision-making in the near future?

6. How do different countries approach data privacy and security in digital healthcare, and what lessons can be learned?

7. What ethical issues need to be addressed when using AI-driven tools in patient care?

8. How important is interoperability (the ability of different systems to share data) in building an effective digital health ecosystem?

9. What skills do healthcare professionals need to adapt to a more digitally integrated healthcare system?

10. In what ways can digital health technologies help reduce inequalities in healthcare access between urban and rural areas?

11. How are international collaborations shaping the development of global digital health standards?

12. What are the risks of over-reliance on digital technologies in healthcare, and how can they be mitigated?

13. How can governments and healthcare organisations ensure equitable access to emerging digital health tools?

14. What role do patients play in shaping the adoption and success of digital health innovations?

15. Looking ahead, what emerging digital health trend do you believe will have the greatest impact on healthcare globally?

Section 2: Reflection on AI Usage

Describe how you used AI in this assessment. Tick the categories that apply and elaborate.

Briefly describe how you used AI and what value it added:

Briefly reflect on how the development of AI technologies is likely to impact the future of healthcare:

Section 3: Evaluation of AI-generated Content

3.1 How did AI help you create your initial interview questions, and what were its strengths and weaknesses?

3.2 How did you identify and improve the AI-generated questions to make them relevant, clear, open-ended, and unbiased?

3.3 What challenges did you face when using AI for this task, and how did you overcome them?

3.4 How confident are you now in using AI for learning

Section 4: Final Interview Questions

Present your final set of 10–15 refined interview questions below.

• Could you describe your professional background, including your role and the type of healthcare setting you currently work in?
• What is your general practice environment like (metropolitan or rural), and how does this influence your approach to healthcare delivery?
• How would you define “digital health” in the context of your professional role?
• In your opinion, how relevant is digital health to the future of general practice in your community?
• What kinds of digital health technologies (e.g., telehealth, electronic health records, wearable devices) have you used in your practice?
• Can you share an example of a situation where digital health tools improved patient care or workflow efficiency?
• Have you faced any challenges or barriers when implementing digital health technologies, and how have you addressed them?
• From your perspective, what are the biggest advantages digital health offers to both healthcare providers and patients?
• Are there any risks or downsides you associate with relying on digital health solutions?
• How do you think digital health adoption differs between metropolitan and rural healthcare settings?
• In your experience, how do patients respond to the use of digital health tools such as telehealth or mobile health apps?
• What ethical or privacy concerns do you believe need more attention in the use of digital health technologies?
• Looking ahead, which digital health innovation do you believe will have the most transformative impact on general practice in the next decade?

Mentor the student in refining and contextualizing interview questions.

Step 1 – Understanding the Task (Section 1)
The mentor began by clarifying the scope of the assessment, emphasizing that the student must not only use AI but also critically engage with it. Guidance was given to select a suitable AI tool (e.g., ChatGPT) and articulate clearly why it was chosen. The student was encouraged to frame their initial prompts carefully to generate a broad set of raw questions.

Step 2 – Reflection (Section 2)
The mentor explained how reflection goes beyond description—it requires analysis of how AI contributed value. The student was guided to link AI’s role with future implications in healthcare, ensuring their response moved from the personal use-case to wider professional relevance.

Step 3 – Evaluation (Section 3)
The mentor walked the student through a systematic evaluation process:

• Strengths: e.g., AI’s speed, creativity, breadth of ideas.
• Weaknesses: e.g., over-generalisation, lack of context, or bias.
• Improvement Strategy: rephrasing, removing redundancies, tailoring to healthcare context.
• Challenges: such as ensuring neutrality and avoiding jargon. The mentor encouraged reflective honesty about these struggles and how they were resolved.

Step 4 – Refinement (Section 4)
The mentor guided the student to critically refine the raw AI output into clear, open-ended, and context-specific interview questions. The focus was on aligning them with digital health in general practice, making them relevant and practical for real interviews.

Final Outcome

Through this process, the student achieved the following:

• Assessment Requirements Met: All four sections were completed, starting from AI tool selection to delivering refined interview questions.
• Learning Objectives Covered:
  • Practical use of AI tools for academic and professional tasks.
  • Critical thinking in evaluating AI-generated content.
  • Reflection on ethical, practical, and future implications of AI in healthcare.
  • Development of high-quality, unbiased interview questions relevant to the field.

Overall, the mentor’s step-by-step approach enabled the student to transform raw AI outputs into a polished, context-appropriate set of interview questions while deepening their understanding of AI’s potential and limitations in healthcare.

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