Here are some of the best questions for a patient survey about health data privacy, along with practical tips on how to create them. If you want to build your own survey in seconds, Specific can help you instantly generate a tailored health data privacy questionnaire.
Best open-ended questions for patient surveys about health data privacy
Open-ended questions dig deeper, giving patients space to explain their unique experiences, fears, and expectations in their own words. They're especially valuable when you want authentic qualitative insights, rather than just stats. The current climate makes this essential—95% of patients express concern about breaches or leaks of their medical records [1], so understanding specifics really matters.
How do you feel about sharing your health data with healthcare providers and external organizations?
What concerns do you have about who can access your personal health information?
Can you share an experience where you felt your health data was not handled appropriately?
What would make you feel more secure and confident in how your health data is managed?
How informed do you feel about where your health data goes once it’s collected?
What are your expectations for being notified in case of a health data breach?
How do you decide which health platforms or apps to trust with your information?
In what situations would you be willing, or unwilling, to share your data for research or care coordination?
What does “health data privacy” mean to you personally?
How could healthcare organizations improve communication about how your data will be used?
Best single-select multiple-choice questions for patient surveys about health data privacy
Single-select multiple-choice questions are perfect when you need quick, quantifiable answers, set a baseline, or want to break the ice before going deeper. Sometimes, it's much easier for patients to select from a few well-defined choices than to formulate a detailed answer right away. Making it easy gets the conversation started—and you can always follow up with more probing, open-ended questions.
Question: How concerned are you about the privacy of your personal health data?
Very concerned
Somewhat concerned
Not very concerned
Not at all concerned
Question: Are you aware of who can access your health information in your medical records?
Yes, I am fully aware
I know some details
No, I am unsure
No, I have no idea
Question: Before a company uses your health data, should you be required to opt-in?
Yes
No
Not sure
Other
When to follow up with "why?" If a patient responds “very concerned” or “no, I am unsure,” following up with “Can you share more about what worries you most?” transforms a basic answer into actionable insight. Instead of just classifying concerns, you uncover the root causes and stories behind them—fuel for smarter decisions.
When and why to add the "Other" choice? Whenever you suspect your prepared options might not cover every possible answer—especially for complex or sensitive topics—include “Other.” This allows patients to express their specific worries, potentially surfacing new privacy risks. With automatic follow-up, they can clarify what’s on their mind, revealing trends you'd never anticipate.
NPS-style questions: Measuring trust in data privacy
The Net Promoter Score (NPS) framework, though typically used for customer satisfaction, adapts really well to health data privacy surveys. It offers a simple, powerful way to measure patient trust in how their data is handled: "On a scale of 0–10, how likely are you to recommend this healthcare provider or service to others, based on your confidence in their data privacy practices?" By applying NPS to privacy, you track not only overall trust but also trends over time. This is especially relevant now that 94% of patients believe companies should be held legally accountable for health data misuse [1]. You can set up an NPS privacy survey in seconds using Specific’s template.
The power of follow-up questions
Effective surveys aren’t static—they listen and respond, just like a good conversation. This is the magic of automated follow-up questions. With Specific’s AI-powered follow-ups, your survey “listens” like a human, asking clarifying questions on the spot and gently nudging for details or examples. This saves research teams endless time otherwise spent chasing down missing info or unclear responses via email, and it keeps the experience seamless and productive for patients.
Patient: "I’m worried about sharing my medical data."
AI follow-up: "Can you tell me what specific situations or organizations make you the most concerned?"
Without the follow-up, you’d just have an ambiguous worry—no sense of where to focus improvements.
How many follow-ups to ask? For most patient surveys, 2–3 well-timed follow-ups are enough. With Specific, you can set a maximum depth and choose to skip when you’ve collected what you need. This keeps things conversational—never an interrogation.
This makes it a conversational survey: instead of a static form, you offer a back-and-forth chat that adapts to each patient’s story.
AI analysis, survey summaries, qualitative insights: Don’t worry about mountains of free text—from open-ends or “Other” responses. Analyzing responses is simple, thanks to Specific’s AI—summaries, trends, and even interactive Q&A with your data.
These automated follow-ups are a new concept—see for yourself by using the AI survey generator to experience the clarity and depth they offer.
How to prompt ChatGPT for better patient survey questions about health data privacy
If you want to design your own survey with AI like ChatGPT or GPT-4, start with a clear, direct prompt. For inspiration, try:
Suggest 10 open-ended questions for Patient survey about Health Data Privacy.
AI always performs better with more context. If you add your research goal, audience demographics, and a short description, you get targeted, relevant questions. For example:
You are a healthcare administrator conducting a patient survey about health data privacy. The goal is to identify main concerns and barriers to sharing health data for medical research and care coordination. Suggest 10 open-ended questions to uncover detailed perceptions and experiences.
After generating the list, refine your focus:
Look at the questions and categorize them. Output categories with the questions under them.
Pick your key categories (e.g., trust, awareness, consent) and ask:
Generate 10 questions for the category “consent and control over data use.”
This iterative process helps you uncover gaps and drill down on what truly matters to your patient audience.
What is a conversational survey?
Conversational surveys, like those created with Specific, mimic a real chat. Each question feels like a message, and the respondent answers naturally—often via their mobile, where people are used to messaging every day. Follow-ups happen in context, not in later emails or interviews. The benefit: richer context, fewer misunderstandings, and much higher completion rates.
Here’s how manual vs. AI-generated surveys stack up at a glance:
Manual surveys | AI-generated surveys |
|---|---|
Static, non-adaptive forms | Dynamically adapts to responses in real time |
Rigid question order | Smart follow-ups and deeper dives on-the-fly |
Time-consuming to author and analyze | Instant survey creation and fast, AI-powered analytics |
Default completion experience | Feels like a familiar chat, boosting comfort and honesty |
Why use AI for patient surveys? The best AI survey generators keep both the survey creator and the respondent in flow. With Specific, you can create your conversational survey through chat, ask open or structured questions, and harness smart follow-ups. Everything—from AI survey examples to response analysis—happens through one smooth, user-friendly interface. If you want to get started, check out our guide on how to create a patient survey about health data privacy leveraging an AI survey builder for optimal results.
Specific delivers a best-in-class user experience for conversational surveys—making feedback collection smooth, even enjoyable. From AI-powered survey creation to interactive analysis, it’s the easiest way to get from first question to actionable insight.
See this health data privacy survey example now
Try a new way to gather honest, thorough feedback about health data privacy—see how a conversational AI survey can capture key concerns, adapt in real time, and help you uncover insight fast. Start your survey now for smarter insights and a better experience for everyone involved.