Tired of trying to keep your AI for Doctors community active and engaged? Would You Rather questions are a proven way to spark fun, thought-provoking discussions and help members connect. Use these ready-made templates to save time while energizing your group.
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Would You Rather questions tap into our natural curiosity and desire to compare choices, making them irresistible conversation starters. By presenting two imaginative scenarios, these prompts encourage members to reflect, debate, and share their reasoning, leading to deeper engagement.
For doctors interested in AI, these questions provide a playful break from technical discussions while still relating to their expertise. The lighthearted tone lowers barriers to participation, making it easy for both new and experienced members to join in and interact.
Would you rather have an AI assistant that handles all your charting or one that preps every patient before your visit?
💡 Example: "I'd love an AI to do my charting! Less paperwork means more time with patients."
Would you rather trust an AI to diagnose rare diseases or to recommend personalized treatment plans?
💡 Example: "I'd pick AI for rare diseases. Sometimes they're so hard to catch early."
Would you rather train a new AI tool every year or work with one stable AI for ten years?
💡 Example: "One stable AI for ten years. I like consistency in my workflow."
Would you rather see AI improve patient communication or streamline insurance approvals?
💡 Example: "Streamline insurance approvals. That would save so much time!"
Would you rather have an AI that predicts patient no-shows or one that automatically reschedules them?
💡 Example: "Predicting no-shows would help me plan my day better."
Would you rather teach AI about bedside manner or medical ethics?
💡 Example: "Medical ethics is a must for AI in healthcare."
Would you rather have AI automate your CME tracking or your clinical documentation?
💡 Example: "Automating CME tracking would make my life easier."
Would you rather your AI assistant have a human-like voice or a text-only interface?
💡 Example: "I prefer text-only so I can review at my own pace."
Would you rather work in a fully AI-powered hospital or a traditional one with minimal AI?
💡 Example: "Fully AI-powered! I think it would be fascinating to see."
Would you rather have AI summarize patient histories or flag potential medication errors?
💡 Example: "Flagging medication errors could save lives."
Would you rather your AI assistant be brilliant at research or outstanding at diagnostics?
💡 Example: "Diagnostics for me. It would help with complex cases."
Would you rather use AI to analyze medical images or predict patient risk factors?
💡 Example: "Analyzing images would save me so much time."
Would you rather have AI automate your patient follow-ups or your prescription refills?
💡 Example: "Automated follow-ups would be amazing."
Would you rather teach AI to speak your specialty's jargon or adapt to patient slang?
💡 Example: "Specialty jargon. It would make charting smoother."
Would you rather have an AI that never makes data entry mistakes or one that learns your workflow preferences?
💡 Example: "No more data entry errors, please!"
Would you rather have AI predict epidemics or optimize hospital resource allocation?
💡 Example: "Epidemic prediction could save thousands of lives."
Would you rather use AI for medical literature summaries or patient education resources?
💡 Example: "Medical literature summaries would keep me up-to-date."
Would you rather have an AI that keeps you on schedule or one that reminds you to take breaks?
💡 Example: "Reminders to take breaks would help my burnout."
Would you rather deploy an AI that is 100 percent accurate but slow, or 90 percent accurate but real-time?
💡 Example: "Real-time results are more practical in my clinic."
Would you rather be the first to test a new medical AI or wait until it is widely adopted?
💡 Example: "I like to play it safe and wait for wide adoption."
Would you rather have AI help you with billing or coding?
💡 Example: "Billing is such a pain, I'd love AI to help there."
Would you rather use AI to verify insurance or to manage appointment scheduling?
💡 Example: "Appointment scheduling is a big headache."
Would you rather have an AI that never forgets patient allergies or one that suggests alternative treatments?
💡 Example: "Never forgetting allergies is a must-have."
Would you rather have AI generate your patient notes or transcribe your voice memos?
💡 Example: "Voice memos would be so easy to manage."
Would you rather have AI flag abnormal lab results or suggest next tests to order?
💡 Example: "Suggesting next tests would help with complex cases."
Would you rather work with an AI that learns from your practice only or from global data?
💡 Example: "Global data brings in more perspectives."
Would you rather have AI help with patient triage or postoperative care monitoring?
💡 Example: "Postoperative monitoring would reduce complications."
Would you rather your AI assistant be invisible but effective, or visible with a friendly avatar?
💡 Example: "Invisible and effective, please."
Would you rather have AI handle all your referrals or all your lab result notifications?
💡 Example: "Lab result notifications are constant, I'd choose that."
Would you rather rely on AI for clinical decision support or for patient engagement tools?
💡 Example: "Clinical decision support is crucial in my field."
Would you rather train AI to detect rare cancers or to spot common medication errors?
💡 Example: "Rare cancers, because early detection is everything."
Would you rather have AI create patient visit summaries or analyze population health trends?
💡 Example: "Visit summaries are more useful day-to-day."
Would you rather use AI to screen for mental health issues or for chronic disease management?
💡 Example: "Chronic disease management can be so complex."
Would you rather have an AI that helps with language translation or cultural competence?
💡 Example: "Cultural competence is often overlooked."
Would you rather have AI that is open-source or strictly regulated?
💡 Example: "Open-source leads to faster innovation."
Would you rather deploy AI for rural telemedicine or urban hospital workflow?
💡 Example: "Rural telemedicine could change so many lives."
Would you rather have AI that learns only from medical books or from real-world practice?
💡 Example: "Real-world practice is much more dynamic."
Would you rather use AI for early disease detection or for end-of-life care planning?
💡 Example: "Early detection can save lives."
Would you rather have AI that helps with grant writing or with publishing research?
💡 Example: "Grant writing is so tedious, I'd take help there."
Would you rather have AI suggest clinical trial matches for patients or recommend continuing education courses for doctors?
💡 Example: "Matching patients to clinical trials is so valuable."
Post one Would You Rather question at regular intervals, such as weekly or biweekly, to encourage ongoing participation. Pin the question to the top of your community feed or stories for visibility. Prompt members to explain their choices and tag peers to join the discussion. Consider summarizing the most popular answers or highlighting insightful responses to keep the momentum going.
For all platforms, use eye-catching visuals or emojis to make questions stand out. Schedule posts for peak activity hours. Respond to early comments to build momentum. Consider using polls on platforms that support them. Always follow up with a summary or thank you post to acknowledge participation.
You can craft scenarios where doctors must choose between two AI-driven options that pose classic clinical ethical challenges, such as relying on an AI diagnosis tool with higher accuracy but less explainability versus a traditional risk calculator that is more transparent. This sparks meaningful debate around trust, accountability, and transparency in AI for medicine.
Consider prompts like 'Would you rather use an AI tool that automates EHR note-taking but requires regular validation, or one that only flags critical data with minimal intervention?' These questions can help members discuss the trade-offs between automation, accuracy, and workflow disruption in their daily practice.
Frame questions that directly compare AI workflow integration, such as 'Would you rather have AI pre-screen all radiology images before your review, or only use AI for cases flagged as ambiguous?' This encourages specialists to share experiences and concerns about over-reliance or under-utilization of AI in imaging.
You could create scenarios like 'Would you rather use an AI triage tool trained on general population data or one trained specifically on your hospital’s diverse patient population, even if it's less validated?' This helps surface real-world concerns about dataset bias and local versus generalizable AI solutions.
Pose questions such as 'Would you rather explain to a patient that an AI recommended their treatment change, or rely solely on your clinical judgment for shared decision-making?' This encourages doctors to discuss transparency, patient trust, and medico-legal implications in the era of AI-supported care.
Develop questions like 'Would you rather have an AI system determine patient triage levels with occasional overrides, or stick with physician-led triage and use AI only for second opinions?' These prompts help illuminate real challenges in workflow, responsibility, and safety in high-stakes, time-sensitive care environments.
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