모든 템플릿
Healthcare & Clinical

Clinical Trial Site Workload & Data Capture Assessment

Measures documentation burden, system usability, and data capture pain points among clinical trial site staff. Designed for site coordinators, investigators, and research personnel to identify operational bottlenecks and prioritize workflow improvements.

샘플 질문

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

질문 29개 · 약 12분
Q01
메시지

Welcome to the Clinical Trial Site Workload & Data Capture Assessment. This survey asks about your experience with clinical documentation and trial data capture over the past 30 days. Your responses will help identify opportunities to reduce site burden and improve data capture workflows. • Participation is voluntary and you may stop at any time. • There are no right or wrong answers — we want your honest perspective. • All responses are confidential and will be reported in aggregate only. • Estimated completion time: 8–10 minutes. Please proceed to begin.

Q02
객관식

In the past 12 months, have you worked on clinical trials at your site?

  • Yes
  • No
Q03
드롭다운

Outside of clinical trials, approximately how many hours per week did you spend on clinical documentation and data entry in the past 30 days?

  • Less than 2 hours
  • 2–5 hours
  • 6–10 hours
  • 11–20 hours
  • 21–30 hours
  • More than 30 hours
Q04
드롭다운

On average, how many hours per week did you spend on trial documentation and data entry in the past 30 days?

  • Less than 2 hours
  • 2–5 hours
  • 6–10 hours
  • 11–20 hours
  • 21–30 hours
  • More than 30 hours
Q05
객관식

Which tools did you use for trial data capture in the past 30 days? Select all that apply.

  • Sponsor-specific EDC
  • eSource platform
  • EHR-to-EDC integration
  • Paper source
  • Spreadsheets (e.g., Excel)
  • Other (please specify)
Q06
순위 매기기

Please rank your top 3 biggest trial data capture pain points (1 = biggest).

  1. Protocol complexity impacting data entry
  2. Duplicate entry between source and EDC
  3. System performance/downtime
  4. High query volume
  5. Training/retraining requirements
  6. Scheduling/coordination conflicts
드래그하여 순위 지정
Q07
의견 척도

How confident are you that your site can meet sponsor data timelines over the next 3 months?

척도: 17
최소:Not at all confident최대:Very confident
Q08
객관식

What type of site do you primarily work at?

  • Academic medical center
  • Community hospital
  • Private practice
  • Independent research site/SMO
  • FQHC/Public clinic
  • Other (please specify)
Q09
메시지

Thank you for your time. Your input will directly inform efforts to reduce site burden and improve data capture workflows. Your responses are confidential and will be reported in aggregate only.

Q10
객관식

What is your primary role in clinical trials at your site?

  • Principal Investigator (PI)
  • Sub-Investigator
  • Study Coordinator/CRC
  • Research Nurse
  • Data Manager
  • Pharmacist
  • Other (please specify)
Q11
의견 척도

Overall, how burdensome was non-trial clinical documentation in the past 30 days?

척도: 17
최소:Not at all burdensome최대:Extremely burdensome
Q12
의견 척도

Overall, how burdensome was trial data capture at your site in the past 30 days?

척도: 17
최소:Not at all burdensome최대:Extremely burdensome
Q13
드롭다운

Which was your primary system for entering trial data in the past 30 days?

  • Sponsor-specific EDC
  • eSource platform
  • EHR-to-EDC integration
  • Paper source
  • Spreadsheets (e.g., Excel)
  • Other
Q14
순위 매기기

Which of the following trial activities took the most of your time in the past 30 days? Please rank your top 3 (1 = most time).

  1. Source documentation
  2. EDC data entry
  3. Query management/resolution
  4. Visit scheduling/coordination
  5. Regulatory/IRB documentation
  6. Training/meetings
드래그하여 순위 지정
Q15
장문형

Based on your responses in this survey, please share any additional thoughts or feelings about site documentation or data capture.

Q16
드롭다운

How many years have you worked in clinical research (any role)?

  • Less than 1 year
  • 1–3 years
  • 4–6 years
  • 7–10 years
  • 11–15 years
  • More than 15 years
Q17
드롭다운

How many interventional trials did you actively support in the past 30 days?

  • 0
  • 1–2
  • 3–5
  • 6–10
  • More than 10
Q18
객관식

Which systems took most of your non-trial documentation time in the past 30 days? Select all that apply.

  • EHR
  • Quality registry portals
  • Prior authorization portals
  • Spreadsheets
  • Paper forms
  • Other (please specify)
Q19
의견 척도

Thinking about your primary trial data entry system, how easy or difficult was it to navigate between forms and pages?

척도: 17
최소:Very difficult최대:Very easy
Q20
장문형

What one change would most reduce trial data capture burden at your site?

Q21
AI 인터뷰

We'd like to understand your experience with trial documentation and data capture in more depth. An AI moderator will ask a few brief follow-up questions based on your earlier responses.

Q22
객관식

What patient population do you primarily serve?

  • Adults
  • Pediatrics
  • Both
Q23
장문형

What was the single biggest barrier to efficient non-trial documentation in the past 30 days?

Q24
의견 척도

How easy or difficult was it to enter and save patient data in your primary system?

척도: 17
최소:Very difficult최대:Very easy
Q25
객관식

Which trial phases do you typically support? Select all that apply.

  • Phase I
  • Phase II
  • Phase III
  • Phase IV/Post-market
  • Medical device studies
  • Other (please specify)
Q26
의견 척도

How easy or difficult was it to manage and resolve queries in your primary system?

척도: 17
최소:Very difficult최대:Very easy
Q27
드롭다운

In which region do you primarily work?

  • North America
  • Western Europe
  • Eastern Europe
  • Latin America
  • Asia-Pacific
  • Middle East & Africa
  • Other
Q28
의견 척도

How easy or difficult was it to generate reports or export data from your primary system?

척도: 17
최소:Very difficult최대:Very easy
Q29
의견 척도

Overall, how satisfied are you with your primary system for trial data entry?

척도: 17
최소:Not at all satisfied최대:Extremely satisfied

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 an AI follow-up interview block that lets site staff elaborate in their own words on documentation and data-capture pain points, going beyond fixed-choice questions
  • Combines burden ratings (opinion scales), tool/system usage questions, and ranking questions to pinpoint which specific systems and activities create the most workload
  • Captures role, trial phase, region, and experience context so results can be segmented by coordinator vs. investigator vs. site type
  • Asks directly about confidence in meeting sponsor data timelines, giving a forward-looking operational risk signal that a generic form does not capture

Typeform

Data Capture Form Template

This is a generic data capture form template, not a clinical trial or research-specific survey, and it appears to be a static form rather than a fielding-ready assessment with branching or scoring logic. It could be manually adapted for research use but includes none of the clinical-trial-specific content (system usability, query resolution, timeline confidence) found in QuestionPunk's template.

잘하는 점

  • Clean, simple UI for basic data collection
  • Easy to customize field types for general-purpose intake
  • Part of a well-known no-code form builder ecosystem

아쉬운 점

  • No adaptive AI follow-up interviewing to probe open-ended pain points
  • Not tailored to clinical trial workflows, roles, or terminology
  • No built-in per-response quality scoring or automated operational report generation

설문을 공개할 준비가 되셨나요?

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

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