모든 템플릿
Healthcare & Clinical

Patient Discharge & Medical Release Experience Survey

Captures how clearly patients understood their discharge instructions, medications, and follow-up care after being released from a hospital, ER, or outpatient procedure. An AI follow-up interview digs into the specific point where instructions were unclear, so care teams can fix the discharge process before it causes a readmission or complication.

샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 13개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to tell us about your recent discharge or release from our care. Your honest feedback helps us make sure patients leave with clear instructions. Your responses are completely confidential and anonymized. This will take about 4-5 minutes.

Q02
객관식필수

What type of visit were you discharged from?

  • Emergency room
  • Inpatient hospital stay
  • Outpatient surgery or procedure
  • Urgent care
  • Other
Q03
객관식필수

Did you receive written discharge instructions before you left?

  • Yes, complete written instructions
  • Yes, but they were incomplete or hard to read
  • No written instructions, verbal only
  • I don't remember
Q04
매트릭스필수

Thinking about your discharge conversation, how much do you agree with each statement?

5개 행 × 5개 열
  • The staff explained my diagnosis or reason for the visit in terms I understood
  • I understood which medications to take, stop, or change
  • I understood the warning signs that would mean I should seek care again
  • I knew who to call if I had questions after leaving
  • I had enough time to ask questions before I left
: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
객관식필수

Was a follow-up appointment scheduled or clearly arranged before you left?

  • Yes, scheduled before I left
  • Yes, but I had to schedule it myself afterward
  • No follow-up was needed
  • I'm not sure if one was arranged
Q06
의견 척도필수

How confident did you feel about managing your recovery or condition at home right after discharge?

척도: 010
최소:Not at all confident최대:Completely confident
Q07
평점 척도

How would you rate the overall clarity of your medication instructions specifically?

범위: 15
최소:Very unclear최대:Very clear
Q08
객관식필수

In the 7 days after leaving, did you have to call the office, visit an ER, or get readmitted because something about the discharge instructions was unclear or wrong?

  • No, everything was clear and went fine
  • I called with a question but didn't need further care
  • I sought additional care (ER visit, urgent care, or readmission)
  • Not applicable / no issues arose yet
Q09
AI 인터뷰

Reconstruct exactly what happened after the respondent left care: identify the single instruction (medication, activity restriction, warning sign, or follow-up step) that was least clear to them, ask what they actually did when they hit that confusion, and whether it led them to call the office, guess, ignore it, or seek additional care. If they said everything was clear, probe one specific detail (like a medication dose or a warning sign) to verify true understanding rather than general satisfaction. If they sought additional care afterward, get the specific timeline and root cause.

Q10
장문형

Is there anything about the discharge process you'd want us to change for the next patient?

Q11
객관식

What is your age range?

  • 18-29
  • 30-44
  • 45-59
  • 60-74
  • 75+
  • Prefer not to say
Q12
객관식

What is your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q13
메시지

Thank you for sharing your experience. Your responses go directly to our care quality team and help us improve discharge instructions and follow-up support for future patients.

포함된 기능

  • AI 후속 질문

    정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.

  • 주의력 확인 장치

    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

  • AI가 작성한 문안

    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

이 템플릿을 선택하는 이유

이 템플릿의 설계 목적을 소개합니다. 다른 설문 도구에서는 직접 비교할 만한 템플릿을 찾지 못했습니다.

차별화 포인트

  • Includes an AI follow-up interview that reconstructs exactly what happened after discharge and pinpoints the specific moment instructions became unclear, rather than only capturing a static rating
  • Combines structured questions (visit type, written instructions received, follow-up appointment status, medication clarity rating, post-discharge ER/office contact) with an open-ended change request, giving both quantifiable and narrative data
  • Uses a matrix question to assess agreement across multiple discharge-conversation statements plus an opinion scale for at-home recovery confidence, capturing nuance a single Likert item would miss
  • Closes with a transparent message telling respondents their answers go directly to the care quality team, and separately collects age range and gender for segmentation without mixing demographics into the clinical questions

설문을 공개할 준비가 되셨나요?

이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.

관련 템플릿

같은 카테고리의 다른 설문을 만나 보세요.

전체 보기
Healthcare & Clinical

Daycare Registration Experience Survey

Captures how smoothly parents moved through enrollment — from first inquiry through submitting health, immunization, and emergency paperwork — and what drove their choice of provider. An AI follow-up interview reconstructs the exact moment registration got confusing or stalled, so admissions and health-compliance teams know what to fix first.

템플릿 보기
Healthcare & Clinical

어린이집 견학 후속 및 등록 의향 설문조사

예비 가정이 어린이집 견학을 어떻게 경험했는지, 그리고 등록까지 여전히 무엇이 걸림돌이 되고 있는지를 파악합니다. 가정의 등록 가능성 뒤에 숨은 구체적인 망설임을 깊이 파고드는 AI 후속 인터뷰가 포함되어 있어, 원장님이 가정이 다른 곳을 결정하기 전에 정확히 무엇을 해결해야 하는지 알 수 있습니다.

템플릿 보기
Healthcare & Clinical

Therapy Informed Consent Understanding Survey

Measures whether clients actually understood the informed consent process before starting therapy — confidentiality limits, fees, and their right to ask questions — rather than just whether they signed a form. Built for clinics and individual practitioners auditing their intake process, with an AI follow-up that digs into exactly what was unclear and what would have made it clearer.

템플릿 보기
Healthcare & Clinical

Veterinary Patient Intake & Symptom Screening Survey

A short pre-visit intake for veterinary clinics that captures pet basics, visit reason, and recent symptom changes before the appointment, with an AI follow-up that reconstructs the timeline and severity of the primary concern so the vet walks in prepared instead of starting from scratch.

템플릿 보기
Healthcare & Clinical

Healthcare Costs & Financial Burden Survey

Measures how much people actually pay for healthcare, how financially burdensome those costs feel, and whether cost causes them to delay or skip care. Built for health plans, providers, employers, and benefits teams tracking affordability; the AI follow-up interview reconstructs the real story behind a specific delay-or-skip-care decision instead of a checkbox answer.

템플릿 보기
Healthcare & Clinical

Health Insurance Plan Evaluation Survey

Evaluates how members experience their current health insurance — cost, coverage, network access, claims handling, and customer service — for health plans, employer benefits teams, or brokers assessing plan performance. An AI follow-up interview reconstructs a real recent claim or service interaction to surface exactly where the experience broke down or exceeded expectations.

템플릿 보기