
Welcome to the sDHT Adoption Library, featuring NaVi
NaVi is a closed-environment AI research assistant that leverages a carefully curated library of more than 300+ vetted documents, including FDA guidance and industry best practices. NaVi helps you search and explore content across the sDHT Adoption Library and Roadmap using natural language questions.
The Library is intended to serve as a living resource. Content is added periodically as new guidance, standards, and peer-reviewed research are released.
Meet NaVi: Your AI-Powered Research Assistant
Library scope and selection
To ensure high-quality, relevant results, the Library follows a predefined scoping approach:
- Inclusions: FDA guidance, non-commercial standards, and peer-reviewed research (2018–Present) focused on sDHTs being used as measurement tools for medical products in U.S.-based clinical trials.
- Exclusions: Materials from single commercial entities, non-U.S. regulatory bodies (except select EMA guidances with direct U.S. cross-relevance), and conference proceedings, and conference proceedings.
Inclusion in the Library does not imply endorsement, completeness, or regulatory acceptability.
Library scope
Resources in the sDHT Adoption Library are identified using a predefined scoping approach and include publicly available FDA guidance, non-commercial standards and guidance, and peer-reviewed research relevant to sDHT use in U.S.-based clinical trials. Materials from single commercial entities, non-U.S. regulatory bodies, conference proceedings, and studies conducted exclusively outside the United States are excluded; inclusion does not imply endorsement or regulatory acceptability.
Last updated 2026: Library content is reviewed and updated on a periodic basis as new eligible materials become available.
Lessons learned in the Apple Heart Study and implications for the data management of future digital clinical trials
Lessons learned in the Apple Heart Study and implications for the data management of future digital clinical trials
Digital health technologies often produce noisier data with additional sources of variation compared to traditional clinical trial settings.
There is a significant challenge in maintaining participant engagement and adherence in digital trials.
The need for pilot studies to address data flow, integration, and integrity is crucial.
Recommendations
Enhance participant engagement through hybrid approaches combining digital and traditional methods.
Conduct pilot studies to test data flow and integration before full-scale trials.
Refine data management guidelines based on experiences from digital trials like AHS.
Include diverse expertise in trial leadership, such as software engineers and biostatisticians.
Plan for comprehensive data analysis, including handling missing data.
Regulatory Considerations
Ensure data security, privacy, and integrity throughout the trial.
Develop a comprehensive plan for data analysis and management.
Consider the composition of the Data & Safety Monitoring Board to include diverse expertise.
Some summaries are generated with the help of a large language model; always view the linked primary source of a resource you are interested in.
Site Investigator Perceptions of Mobile Clinical Trials: Summary
Site Investigator Perceptions of Mobile Clinical Trials: Summary
Advantages of MCTs: Investigators highlighted remote data capture, access to real-time data for monitoring, and improved data quality as major benefits. They also noted reduced participant burden due to fewer in-person visits and increased participant engagement through real-time data access.
Challenges of MCTs: Increased site burden due to additional time required for technology setup, troubleshooting, and managing high data volumes was a common theme. Participants faced challenges such as technology unfamiliarity, device management, and potential behavior changes from real-time data access.
Support Needs: Investigators emphasized the need for technical support, staff training, and increased budgetary resources to manage devices and train participants. They also highlighted the importance of clear communication about device selection and capabilities from sponsors.
Recommendations
Sponsors should supply comprehensive device training, including hands-on and supplemental materials, and establish systems for ongoing technical support throughout the trial.
Include funds for device management, staff training, and participant support to accommodate the additional demands of MCTs.
Prioritize user-friendly devices to minimize participant burden and improve adherence.
Collaborate with investigators and participants during trial planning to ensure technologies align with study objectives and participant needs.
Focus on in-person, hands-on training to ensure staff and participants are comfortable with the technologies.
Regulatory Considerations
Devices must meet data security and safety requirements to address Institutional Review Board (IRB) concerns.
Provide detailed information about device safety, storage, and capabilities to ensure compliance with regulatory standards.
Clearly communicate data access levels to participants, minimizing risks of data misinterpretation.
Some summaries are generated with the help of a large language model; always view the linked primary source of a resource you are interested in.
Investigator Experiences Using Mobile Technologies in Clinical Research: Qualitative Descriptive Study
Investigator Experiences Using Mobile Technologies in Clinical Research: Qualitative Descriptive Study
Advantages of MCTs: Investigators highlighted streamlined study operations, remote data capture, and higher-quality, real-time data collection as key benefits. MCTs were also noted for their potential to reduce participant burden by enabling remote participation.
Challenges of MCTs: Investigators reported increased operational challenges, such as device setup, maintenance, and troubleshooting. They also noted time burdens for staff and uncertainties regarding data quality, including potential biases and technical malfunctions.
Support Needs: Investigators emphasized the need for technical support, comprehensive training for staff and participants, and adequate budgetary planning to address additional costs associated with MCTs.
Participant Considerations: While MCTs offer convenience and engagement opportunities for participants, challenges include the intrusiveness of data capture, technology adoption barriers, and potential negative impacts of real-time data access on participant behavior.
Recommendations: Investigators stressed the importance of collaborative relationships between sponsors and sites, user-friendly technology selection, and participant-centric trial designs.
Recommendations
Improve Training and Support: Sponsors should provide hands-on training for staff and participants, including troubleshooting support and device-specific materials.
Plan Budgets Appropriately: Include funds for device procurement, staff time, and technology management in trial budgets.
Enhance Technical Support: Sponsors should establish centralized technical support systems to address technology-related issues during trials.
Select Participant-Friendly Technologies: Prioritize devices that are intuitive, minimally intrusive, and suitable for the target population's needs.
Engage Stakeholders Early: Collaborate with investigators, participants, and sponsors during trial planning to align expectations and address potential challenges.
Regulatory Considerations
Data Security: Ensure data collected by mobile technologies comply with privacy and security regulations, and communicate these measures to IRBs.
Device Validation: Validate devices for the intended trial context to ensure reliability and minimize technical risks.
Participant Communication: Clearly inform participants about how their data will be used and provide transparency regarding data access.
Some summaries are generated with the help of a large language model; always view the linked primary source of a resource you are interested in.
Learning from patient and site perspectives to develop better digital health trials: Recommendations from the Clinical Trials Transformation Initiative
Learning from patient and site perspectives to develop better digital health trials: Recommendations from the Clinical Trials Transformation Initiative
There is a lack of research on patient perspectives regarding the use of digital health technologies in clinical trials.
Digital health technologies offer opportunities to reduce participant burden and streamline operations but require effective engagement strategies.
Protocols need to address safety signals and data contexts not covered by traditional designs.
Recommendations
Engage patients and research sites early and often in planning digital health trials.
Ensure that outcome measurements meaningful to patients are identified before selecting digital health technologies.
Conduct feasibility or pilot studies with representative patient populations prior to trial launch.
Provide thorough descriptions of digital health technologies in informed consent documents.
Ensure sites have appropriate infrastructure and training for digital health trials.
Regulatory Considerations
Protocols should address safety signals not previously observed with traditional designs.
Communicate clearly about data confidentiality risks to participants.
Ensure informed consent documents provide clear guidance on expectations and responsibilities.
Some summaries are generated with the help of a large language model; always view the linked primary source of a resource you are interested in.
Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation
Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation
The probability of receiving an irregular pulse notification was low, indicating a gap in detection sensitivity.
The study was not designed to assess the algorithm as a screening tool, highlighting a need for further research in this area.
The paroxysmal nature of atrial fibrillation presents challenges in interpreting notifications, suggesting a gap in understanding the condition's episodic nature.
Recommendations
Conduct further research to understand the implications of irregular pulse notifications.
Explore the potential for digital health technologies to engage users with healthcare systems.
Investigate the use of smartwatches and similar devices as population screening tools.
Develop methods to improve the accuracy and reliability of health monitoring algorithms.
Enhance user engagement and follow-up after receiving health notifications.
Regulatory Considerations
Ensure data privacy and consent in large-scale digital health studies.
Address the accuracy and reliability of health monitoring algorithms.
Consider the implications of using consumer-owned devices for health monitoring.
Some summaries are generated with the help of a large language model; always view the linked primary source of a resource you are interested in.