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Medical Office Patient Safety Culture Survey (AHRQ-Aligned)

Benchmarks how staff in your medical office perceive teamwork, communication, error reporting, and leadership support for safety, modeled on AHRQ's patient safety culture domains. An AI follow-up interview digs into the most recent near-miss or error staff witnessed and what stopped or helped them report it.

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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 part in our patient safety culture check-in. Your honest input helps us find where communication or reporting breaks down — no names attached. About 6-8 minutes.

Q02
객관식필수

What is your primary role in this office?

  • Physician/Provider
  • Nurse
  • Medical Assistant
  • Front desk/Administrative
  • Practice manager/Supervisor
  • Other clinical staff
Q03
매트릭스필수

How much do you agree with each statement about your office?

6개 행 × 5개 열
  • Staff feel free to question the decisions of those with more authority
  • When someone points out a mistake, it is not held against them
  • We work together as an effective team to care for patients
  • Staff are told about changes made based on reported errors
  • We have enough staff to handle the workload
  • 외 1개
열: Strongly disagree · Disagree · Neither agree nor disagree · Agree · Strongly agree
Q04
의견 척도필수

Overall, how would you rate patient safety in this office?

척도: 0 – 10
최소:Poor최대:Excellent
Q05
객관식필수

In the last 12 months, how many event or incident reports have you personally filed?

  • None
  • 1 to 2
  • 3 to 5
  • 6 to 10
  • 11 or more
Q06
슬라이더 매트릭스필수

How comfortable are you doing each of the following?

4개 행, 각 행마다 슬라이더 1개
  • Speaking up if you see something that could harm a patient
  • Asking a colleague to double-check a decision you're unsure about
  • Reporting a mistake even if no patient was harmed
  • Telling a supervisor about a process that isn't working safely
슬라이더 0–10최소:Very uncomfortable최대:Very comfortable
Q07
최선·최악 선택형(MaxDiff)필수

Which of these, if improved, would do the most to make this office safer for patients?

  • Clearer handoffs between shifts or providers
  • More consistent staffing levels
  • Faster follow-up on lab or test results
  • Better communication between front desk and clinical staff
  • More feedback after safety events are reported
  • Clearer protocols for common procedures
  • Reduced pressure to rush patient visits
세트별 최선·최악 선택최선:Would improve safety most최악:Would improve safety least
Q08
객관식

In the last 12 months, how often has important patient information been lost during shift changes or handoffs?

  • Never
  • Rarely
  • Sometimes
  • Often
  • Very often
Q09
AI 인터뷰

Reconstruct the most recent near-miss or safety event this person witnessed or was involved in: what happened, whether it was reported, and what made reporting easy or hard. If they say they'd hesitate to report, probe specifically what they fear would happen and whether they've seen a colleague face consequences for speaking up.

Q10
장문형

Is there anything about patient safety in this office that you think leadership should know but hasn't heard?

Q11
객관식

How many years have you worked in this specific office?

  • Less than 1 year
  • 1 to 5 years
  • 6 to 10 years
  • 11 to 20 years
  • 21 years or more
  • Prefer not to say
Q12
객관식

What is your typical weekly working hours in this office?

  • Less than 20 hours
  • 20 to 39 hours
  • 40 hours or more
  • Prefer not to say
Q13
메시지

Thank you for your candor. Responses are combined into an anonymous safety culture report shared with leadership to guide concrete improvements — no individual answers are attributed to you.

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.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • Includes a matrix and slider-matrix covering the core AHRQ teamwork, communication, and error-reporting domains, plus an opinion-scale overall safety rating and a max-diff to prioritize improvement areas
  • Goes beyond static rating scales with an AI follow-up interview that reconstructs the most recent near-miss or error the respondent witnessed, probing what helped or blocked reporting it
  • Captures role, tenure, and weekly hours alongside incident-report frequency and information-loss-during-handoff questions, giving context to segment results by staff type and exposure
  • Closes with an open long-text question inviting candid suggestions for leadership, and ends in an auto-generated report — with transparent prompts so you can see exactly what the AI asked

SurveyMonkey

AHRQ Surveys On Patient Safety Culture™ (SOPS®) Medical Office Survey

A fielding-ready template that directly licenses/mirrors the official AHRQ SOPS Medical Office Survey instrument, which gives it strong face validity for benchmarking against the national dataset. It is a static questionnaire, so all follow-up depends on manual analysis after the fact. Good choice for teams that want an off-the-shelf, unmodified AHRQ instrument rather than a customized flow.

잘하는 점

  • Based on the official, validated AHRQ SOPS Medical Office instrument
  • Backed by SurveyMonkey's broad distribution and reporting infrastructure
  • Familiar format for practices already benchmarking against AHRQ national data

아쉬운 점

  • Static question set with no adaptive follow-up to probe individual near-miss stories
  • No voice-based interview option or guided screen-share tasks
  • No published per-response quality scoring or transparent prompt methodology

SurveySparrow

Patient Safety Culture Survey Template

A conversational-style survey template aimed at healthcare teams that covers general patient safety culture themes. It reads as a standard question-and-answer template rather than one explicitly built around the full AHRQ domain structure. It's ready to field but relies on fixed questions rather than dynamic probing of specific incidents.

잘하는 점

  • Conversational chat-style UI that can feel more approachable than a plain grid survey
  • Positioned specifically for healthcare/patient safety use cases
  • Ready to deploy without additional setup

아쉬운 점

  • No adaptive AI interview to dig into a specific recent near-miss or error
  • No voice AI interview or screen-share guided task option
  • No automated quality scoring of individual responses or transparent AI prompt disclosure

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