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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.

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샘플 질문

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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
열: 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: 0 – 10
최소:Not at all confident최대:Completely confident
Q07
평점 척도

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

범위: 1 – 5
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.

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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

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