모든 템플릿
Healthcare & Clinical

Provider Adaptation to Telehealth Licensure & Prescribing Rules

Tracks how clinicians are adjusting to shifting multi-state licensure requirements and controlled-substance prescribing rules for telehealth, including care disruptions and compliance burden. An AI follow-up interview reconstructs a specific recent case where a rule change affected a patient encounter, surfacing details a closed-ended survey would miss.

샘플 질문

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

질문 14개 · 약 7분
Q01
메시지

Thanks for taking a few minutes for this survey. We're studying how telehealth licensure and prescribing rules are affecting day-to-day practice. Your answers are confidential and will take about 5-6 minutes.

Q02
객관식필수

Which best describes your primary clinical role?

  • Physician (MD/DO)
  • Nurse practitioner
  • Physician assistant
  • Psychiatrist or other behavioral health prescriber
  • Pharmacist
  • Other licensed prescriber
Q03
객관식필수

In the last 30 days, what share of your patient visits were conducted via telehealth (audio or video)?

  • None
  • Less than 25%
  • 25-50%
  • 51-75%
  • More than 75%
Q04
숫자필수

In how many states are you currently licensed, credentialed, or otherwise authorized to deliver telehealth care?

Q05
객관식필수

In the last 6 months, have you had to turn away, delay, or refer out a telehealth patient because you weren't licensed or authorized in their state?

  • Yes, more than once
  • Yes, once
  • No
  • Not sure
Q06
매트릭스필수

How much has each of the following recent regulatory changes affected your day-to-day telehealth practice?

4개 행 × 4개 열
  • Federal rules on prescribing controlled substances via telehealth (e.g., buprenorphine, stimulants)
  • State licensure reciprocity or interstate compact participation
  • In-person exam requirements before certain prescriptions
  • Cross-state insurance or Medicaid telehealth reimbursement rules
: No impact · Minor adjustment · Major adjustment · Stopped offering this entirely
Q07
의견 척도필수

How confident are you that you currently understand the telehealth prescribing and licensure rules that apply to your practice?

척도: 17
최소:Not confident at all최대:Extremely confident
Q08
객관식

Which of these controlled-substance prescribing changes has affected your practice the most in the last year?

  • Buprenorphine or other opioid use disorder treatment via telehealth
  • ADHD stimulant prescribing restrictions
  • Special registration or in-person exam requirements for telehealth prescribing
  • None of these apply to my practice
Q09
AI 인터뷰

Ask the respondent to walk through one specific, recent patient encounter where a telehealth licensure or prescribing rule directly shaped what they could do clinically - what the rule was, what decision they had to make, and what happened to the patient as a result. If they say no rule has ever affected a real case, probe whether they've changed any standing practice out of caution even without a concrete incident, and what that precaution cost them or the patient.

Q10
객관식

What would most reduce the administrative burden of staying compliant with multi-state telehealth rules for you?

  • Automated license and eligibility verification tools
  • Dedicated legal or compliance staff support
  • Clearer guidance from professional or licensing boards
  • Expansion of interstate licensure compacts
  • Standardized federal rules replacing state-by-state variation
Q11
평점 척도

How well does your employer or organization keep you informed about changes to telehealth licensure and prescribing rules?

범위: 15
최소:Very poorly최대:Excellent
Q12
객관식

How many years have you been in clinical practice?

  • Less than 2 years
  • 2-5 years
  • 6-10 years
  • 11-20 years
  • More than 20 years
  • Prefer not to say
Q13
객관식

Which best describes your primary practice setting?

  • Solo or small private practice
  • Large group or multi-specialty practice
  • Hospital or health system employed
  • Direct-to-consumer telehealth company
  • Academic medical center
  • Other
  • Prefer not to say
Q14
메시지

That's everything - thank you for sharing your experience. Your responses will be combined with other clinicians' to help identify where telehealth licensure and prescribing rules need clearer guidance or reform.

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 dedicated AI follow-up interview that asks clinicians to walk through one specific recent patient encounter affected by a licensure or prescribing rule change, surfacing details a closed-ended form would miss
  • Combines quantitative structure (multiple-choice, numeric license count, matrix of regulatory impacts, opinion scale on prescribing rule confidence) with open-ended narrative depth in a single flow
  • Captures both compliance burden and care disruption (turning away, delaying, or referring out telehealth patients) rather than just satisfaction or consent status
  • Every prompt is transparent and the responses roll up into an auto-generated report, so there's no black-box scoring or manual transcription needed

Jotform

100+ Telehealth Forms

This is a broad category page of 100+ telehealth-related forms (intake, consent, scheduling, feedback) rather than a single fielding-ready survey on licensure or prescribing rules. It's useful as a starting point for building a custom form but requires significant editing to match this topic. No template here is purpose-built around multi-state licensure or controlled-substance rule changes.

잘하는 점

  • Large library of pre-built healthcare form templates to start from
  • Drag-and-drop form builder likely allows quick customization
  • Covers general telehealth operational needs (intake, consent, scheduling)

아쉬운 점

  • Static form fields only — no adaptive AI follow-up to probe a specific patient encounter
  • No built-in mechanism to reconstruct a narrative case or score response quality
  • No template specifically addressing licensure/prescribing compliance burden

Typeform

Telehealth Consent Form Template

This is a patient-facing consent form for telehealth visits, not a clinician survey about licensure or prescribing regulation. It's relevant only in that it's a telehealth-adjacent Typeform template; the audience (patients vs. providers) and purpose (legal consent vs. research) differ substantially from this template.

잘하는 점

  • Clean conversational form UI suited for patient-facing consent capture
  • Likely simple to deploy for compliance/consent documentation
  • Established telehealth template category on the platform

아쉬운 점

  • Designed for patient consent, not provider research on regulatory adaptation
  • No adaptive interview or follow-up questioning to explore specific cases
  • No mechanism for scoring, reporting, or analyzing compliance burden across a clinician population

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

Teletherapy From Home Continuation Preferences

Measures whether clients want to keep doing therapy from home by video or phone, shift to a hybrid model, or return to in-person care — and why. Built for behavioral health practices and telehealth platforms deciding how to structure ongoing care; the AI follow-up interview digs into the specific trade-offs, like privacy and connection with the therapist, behind each person's stated preference.

템플릿 보기
Healthcare & Clinical

Patient Comfort With AI Scribes And Visit Documentation

Measures how comfortable patients are with AI tools that listen, transcribe, and summarize clinical visits, and what would make them trust those tools more. Built for health systems and clinics piloting AI documentation. An AI follow-up interview digs into the specific moment or topic that made a patient hesitant, going beyond a simple comfort score.

템플릿 보기
Healthcare & Clinical

Patient Impact of Medicare Telehealth Coverage Rollback

Measures how recent reductions in Medicare telehealth coverage are affecting beneficiaries' access to care, out-of-pocket costs, and health outcomes. Built for health systems, patient advocacy groups, and policy researchers tracking rollback effects, with an AI follow-up that reconstructs one specific care disruption in the patient's own words.

템플릿 보기
Healthcare & Clinical

Health Data Sharing Trust & Privacy Preferences Survey

Measures patient comfort, consent preferences, and privacy concerns when sharing health data across providers, insurers, and digital health tools. Ideal for healthcare organizations, privacy teams, and compliance officers seeking to understand patient attitudes toward data sharing.

템플릿 보기
Healthcare & Clinical

Post-Visit Patient Experience & NPS Survey

Measures patient satisfaction across scheduling, wait times, provider interaction, and telehealth quality using NPS and multi-dimensional experience scales for healthcare organizations seeking actionable improvement insights.

템플릿 보기
Healthcare & Clinical

Patient Experience Survey: Access, Communication & Care Quality

Measures patient satisfaction across appointment access, provider communication, follow-up timeliness, and digital touchpoints for healthcare organizations seeking actionable improvement insights and NPS benchmarking.

템플릿 보기