digital-health-study-planning
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This source file is part of the Stanford Spezi open-source project.
SPDX-FileCopyrightText: 2026 Stanford University and the project authors (see CONTRIBUTORS.md)
SPDX-License-Identifier: MIT
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Study Planner
研究方案规划器
Plan digital health studies and research protocols without assuming a particular app stack.
无需依赖特定应用技术栈,即可规划数字健康研究及研究方案。
When to Use
适用场景
Use this skill when you need to:
- shape a research question into a study plan
- define enrollment, consent, and participation requirements
- design data collection and assessment schedules
- align outcomes, operations, and participant burden
当你需要完成以下工作时,可使用本技能:
- 将研究问题转化为研究方案
- 明确受试者招募、知情同意及参与要求
- 设计数据收集与评估时间表
- 平衡研究结果、运营安排与受试者负担
Working Style
工作方式
Start by understanding the study, not the interface. Ask questions before proposing structure.
Clarify:
- objective or hypothesis
- participant population
- study type and duration
- primary and secondary outcomes
- expected study procedures and burden
- operational constraints such as staffing, review, and follow-up
首先聚焦研究本身,而非技术界面。在提出结构框架前先厘清相关问题。
需明确以下内容:
- 研究目标或假设
- 受试者人群
- 研究类型与时长
- 主要及次要研究结果
- 预期研究流程与受试者负担
- 运营限制条件,如人员配置、审查流程及随访安排
Planning Framework
规划框架
1. Study Overview
1. 研究概述
Define:
- study name
- objective or hypothesis
- population
- study type such as observational, interventional, feasibility, or survey-based
- duration and major milestones
需明确:
- 研究名称
- 研究目标或假设
- 受试者人群
- 研究类型(如观察性研究、干预性研究、可行性研究或基于调查的研究)
- 研究时长及关键里程碑
2. Enrollment and Consent
2. 受试者招募与知情同意
Work through:
- inclusion criteria
- exclusion criteria
- recruitment channels
- screening steps
- consent requirements
- participant withdrawal process
Do not assume device ownership, app literacy, or language access without checking.
需梳理:
- 纳入标准
- 排除标准
- 招募渠道
- 筛选流程
- 知情同意要求
- 受试者退出流程
未经确认,请勿默认受试者拥有设备、具备应用操作能力或可获取对应语言支持。
3. Data Collection Plan
3. 数据收集方案
Create a table like this:
| Data Type | Source | Frequency | Purpose | Notes |
|---|---|---|---|---|
| Baseline demographics | Intake questionnaire | Once | Eligibility and cohort description | Keep minimal |
| Symptoms | Participant self-report | Daily or weekly | Outcome tracking | Define burden clearly |
| Clinical measurements | Device, sensor, chart, or manual entry | As needed | Primary or secondary outcomes | Clarify validation path |
| Engagement data | Product telemetry | Ongoing | Feasibility and adherence | Avoid collecting unnecessary detail |
创建如下格式的表格:
| 数据类型 | 数据来源 | 收集频率 | 用途 | 备注 |
|---|---|---|---|---|
| 基线人口统计学数据 | 入组调查问卷 | 一次 | 资格判定与队列描述 | 尽量精简 |
| 症状数据 | 受试者自我报告 | 每日或每周 | 结果追踪 | 明确受试者负担 |
| 临床测量数据 | 设备、传感器、病历或手动录入 | 按需收集 | 主要或次要研究结果 | 明确验证路径 |
| 参与度数据 | 产品遥测数据 | 持续收集 | 可行性与依从性评估 | 避免收集不必要的细节 |
4. Assessment Schedule
4. 评估时间表
Map the study rhythm:
- baseline
- recurring assessments
- triggered events
- follow-up visits
- closeout or exit steps
For each step, note:
- what happens
- expected completion time
- whether it is required or optional
- what constitutes missingness or protocol deviation
规划研究节奏:
- 基线评估
- 定期重复评估
- 触发式事件评估
- 随访访问
- 研究收尾或受试者退出流程
针对每个步骤,需记录:
- 具体内容
- 预期完成时间
- 是否为必填项
- 缺失数据或方案偏离的判定标准
5. Outcome Measures
5. 结果指标设定
Define:
- primary outcomes
- secondary outcomes
- feasibility or engagement measures
- timing of analysis
- what success or signal detection means
Push for measurable outcomes, not vague aspirations.
需明确:
- 主要研究结果
- 次要研究结果
- 可行性或参与度指标
- 分析时间点
- 成功或信号检测的判定标准
力求设定可量化的结果指标,而非模糊的目标。
Operational Questions
运营相关问题
Ask about:
- who monitors study progress
- who responds to missed assessments
- what happens if participants stop engaging
- whether reminders, escalations, or coordinator outreach are planned
- what data quality review is needed during the study
需询问以下问题:
- 谁负责监控研究进度
- 谁负责处理未完成的评估
- 若受试者停止参与,应如何处理
- 是否计划设置提醒、升级流程或协调员跟进
- 研究期间需要进行哪些数据质量审查
Deliverable Format
交付物格式
Produce a concise study planning brief with:
- study summary
- enrollment and consent plan
- data collection matrix
- assessment schedule
- outcome measures
- operational risks and open questions
Save the brief as in the project repository.
docs/planning/study-brief.md生成一份简洁的研究规划简报,包含:
- 研究摘要
- 受试者招募与知情同意方案
- 数据收集矩阵
- 评估时间表
- 结果指标
- 运营风险与待解决问题
将简报保存至项目仓库的路径下。
docs/planning/study-brief.mdGuardrails
注意事项
- Keep the plan platform-agnostic unless the user explicitly wants implementation advice.
- Do not assume a particular interoperability standard, sensor integration, or client architecture by default.
- Flag where clinical, statistical, or IRB review is still needed.
- Highlight participant burden whenever the plan becomes too heavy.
- 除非用户明确要求实施建议,否则保持方案的平台无关性。
- 请勿默认采用特定的互操作性标准、传感器集成方式或客户端架构。
- 标记仍需进行临床、统计或IRB(机构审查委员会)审查的环节。
- 当方案给受试者带来的负担过重时,需重点指出。
Checklist
检查清单
- Objective and population clearly defined
- Study type and duration captured
- Enrollment and consent plan outlined
- Data collection matrix created
- Assessment schedule defined
- Primary and secondary outcomes specified
- Operational responsibilities identified
- Key risks and open questions documented
- 已明确研究目标与受试者人群
- 已确定研究类型与时长
- 已梳理受试者招募与知情同意方案
- 已创建数据收集矩阵
- 已制定评估时间表
- 已明确主要及次要研究结果
- 已确定运营职责
- 已记录关键风险与待解决问题