
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.
A practical guide for selecting continuous monitoring wearable devices for community-dwelling adults
A practical guide for selecting continuous monitoring wearable devices for community-dwelling adults
Existing guidelines lack pragmatic application and systematic approach for device selection.
Device choice is dependent on measurement objectives, user population, and available resources.
Current frameworks do not systematically consider verification, validation, feasibility, and protocol design.
Rapid obsolescence of digital devices due to technological advancements.
Need to incorporate social/psychological factors into device selection.
Recommendations
Develop a practical guide with a systematic approach for selecting wearable devices.
Use five core criteria: continuous monitoring capability, device suitability and availability, technical performance, feasibility of use, and cost evaluation.
Prioritize feasibility of use to ensure user needs are incorporated into the selection process.
Adapt guide criteria to accommodate novel innovations.
Foster clarity and transparency in decision-making among researchers, HCPs, and device users.
Regulatory Considerations
Follow FDA guidance for digital health technology usage in clinical investigations.
Consider CTTI recommendations for improving clinical trial quality and efficiency.
Use ePRO Consortium's factors for device suitability in regulatory trials.
Apply international guidelines for specific measurements when available.
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.
At-a-Glance: Incorporating Human-Centered Design Into sDHT Development
At-a-Glance: Incorporating Human-Centered Design Into sDHT Development
The goal of sDHT design is to create tools that are functional, intuitive, accessible, and enjoyable to use, moving beyond merely minimizing use-errors. Human-centered design (HCD) is the preferred term over user-centered design, emphasizing the impact on many user groups beyond just the end-users. "Users" encompass end-users (patients/participants), carepartners, clinicians, investigators, and administrators.
Recommendations
Developers of sDHTs should adhere to the following HCD principles:
Empathetic: Take time to deeply understand users' needs, behaviors, and emotions, capturing this in the use specification.
Holistic: Consider the entire end-to-end user journey, including hardware, software, accessories, packaging, instructions for use, and training.
Iterative: Employ an iterative approach to designing, prototyping, testing, and refining, using formative evaluations to identify use-errors and gather usability data, capturing this in the use-related risk analysis.
User-centric: Improve usability by capturing user feedback in real-world settings, gradually recruiting larger, more diverse samples that represent the intended use population.
Inclusive: Collaborate with individuals representing all user groups by hiring them as consultants or creating user advisory panels to influence design decisions (co-design).
Multidisciplinary: Ensure the development team includes colleagues from various disciplines to bring diverse perspectives and innovative solutions.
Regulatory Considerations
The document ties the HCD process to risk management and eventual validation by recommending that findings from formative evaluations (used to identify use-errors) be captured in a use-related risk analysis. The approach aligns with the principles of the overarching V3+ framework.
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.
Building Fit-for-Purpose Sensor-based Digital Health Technologies: A Crash Course
Building Fit-for-Purpose Sensor-based Digital Health Technologies: A Crash Course
Usability gaps in sDHTs remain a barrier to adoption, with many technologies failing to prioritize ease of use, accessibility, and diverse user needs
Human-centered design is critical for ensuring that digital health solutions are intuitive, functional, and scalable across different healthcare environments
Standardized usability metrics for evaluating digital health technologies are lacking, leading to inconsistent reporting and validation of usability outcomes
Use-related risk analysis is essential to identifying and mitigating risks associated with user errors, ensuring the safety and effectiveness of sDHTs
The V3+ framework provides a structured approach to integrating usability validation into digital health technology development, aligning with global regulatory expectations
Recommendations
Developers should incorporate human-centered design principles from the outset, ensuring that usability, accessibility, and user needs are central to sDHT development
Usability validation should be standardized, with clear methodologies for measuring usability, including satisfaction, ease of use, efficiency, and error mitigation
Regulatory and clinical stakeholders should collaborate on defining best practices for usability evaluation, ensuring that digital endpoints are both meaningful and scalable
Risk analysis should be iterative, with developers continuously refining their technologies based on real-world user feedback and testing
The usability validation component of V3+ should be widely adopted to ensure that digital clinical measures meet patient-centered, regulatory, and technical expectations
Regulatory Considerations
Regulators are emphasizing the need for usability validation to ensure that digital endpoints are both clinically relevant and patient-friendly
sDHTs must comply with human factors engineering guidelines, aligning with global regulatory frameworks such as ISO 9241-210 and FDA usability requirements
Data security, privacy, and interoperability must be ensured, particularly as sDHTs become integrated into remote monitoring and decentralized clinical trials
Real-world evidence (RWE) should support usability validation, helping to bridge the gap between regulatory approval and real-world adoption
Regulatory bodies should work toward standardizing usability testing methodologies, ensuring consistency across clinical research, digital endpoints, and medical device evaluations
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.
Library of Human Factors Resources for Digital Health Technologies
Library of Human Factors Resources for Digital Health Technologies
The Library of Human Factors Resources compiles external documents related to human factors, human-centered design, and usability in the context of Digital Health Technologies (DHTs), especially sensor-based DHTs (sDHTs). The resources in the library are categorized by usability validation activity:
Use-related risk assessment (topics include user tasks, use-errors, use-related hazards, and risk mitigation).
Design considerations (topics relate to product design).
Formative evaluation (topics related to usability evaluation of a prototype product).
Summative evaluation (topics related to usability evaluation of a final-version or marketed product).
Recommendations
The page recommends that users, developers, and evaluators utilize the library's interactive index to find relevant documents to their DHT:
Use the Search by Activity tab to filter by one of the usability validation activities listed above.
Use the human factors topic column to further narrow the search.
Review the document name, issuing body, and product of focus columns to identify the most relevant document.
Click the hyperlink to access the selected document, then use the information in the relevant sections column to locate the specific topics of interest.
Regulatory Considerations
The library is a collection of resources for accelerating sDHT adoption, and it specifically includes documents like regulatory guidance and industry standards. This emphasizes the importance of understanding and applying human factors principles for validation and achieving regulatory acceptance for sDHTs.
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.
Quickstart Guide: V3+ Use Specification
Quickstart Guide: V3+ Use Specification
The V3+ Use Specification must contain a detailed description of the user groups, use environments, and the sDHT user interface. The user groups include end-users (individuals from whom data is captured) as well as carepartners, clinicians, researchers, and administrators. Characteristics of users (e.g., demographics, literacy, physical/cognitive capabilities, disease characteristics) and use environments (e.g., temperature, network availability, clutter) must be considered for risk management .
Recommendations
Developers must follow these four steps to create the Use Specification:
Identify all user groups: Create a list of users, including sub-categories (e.g., different types of researchers), and describe the characteristics of each group (e.g., health literacy, physical capabilities) to create detailed descriptions of representative users.
Identify all likely use environments: Create a list of typical environments (e.g., Home, Hospitals) and describe their characteristics (e.g., temperature, noise, network availability), also considering "edge cases" (e.g., extreme weather).
Describe the sDHT user interface: Detail all aspects of the hardware and software (visual, auditory, tactile cues), accessories (e.g., packaging, chargers), and all written materials and training (e.g., instructions for use, helpdesk troubleshooting).
Keep it up to date: The Use Specification is a living document that requires ongoing updates and maintenance throughout the sDHT development and usability validation process.
Regulatory Considerations
The development of the Use Specification is presented as the foundational step for the usability validation component of the V3+ framework. This document directly informs the subsequent Use-Related Risk Analysis.
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.
V3+: Extending the V3 Framework
V3+: Extending the V3 Framework
Usability gaps in sDHTs remain a barrier to adoption, with many technologies failing to prioritize ease of use, accessibility, and diverse user needs
Human-centered design is critical for ensuring that digital health solutions are intuitive, functional, and scalable across different healthcare environments
Standardized usability metrics for evaluating digital health technologies are lacking, leading to inconsistent reporting and validation of usability outcomes
Use-related risk analysis is essential to identifying and mitigating risks associated with user errors, ensuring the safety and effectiveness of sDHTs
The V3+ framework provides a structured approach to integrating usability validation into digital health technology development, aligning with global regulatory expectations
Recommendations
Developers should incorporate human-centered design principles from the outset, ensuring that usability, accessibility, and user needs are central to sDHT development
Usability validation should be standardized, with clear methodologies for measuring usability, including satisfaction, ease of use, efficiency, and error mitigation
Regulatory and clinical stakeholders should collaborate on defining best practices for usability evaluation, ensuring that digital endpoints are both meaningful and scalable
Risk analysis should be iterative, with developers continuously refining their technologies based on real-world user feedback and testing
The usability validation component of V3+ should be widely adopted to ensure that digital clinical measures meet patient-centered, regulatory, and technical expectations
Regulatory Considerations
Regulators are emphasizing the need for usability validation to ensure that digital endpoints are both clinically relevant and patient-friendly
sDHTs must comply with human factors engineering guidelines, aligning with global regulatory frameworks such as ISO 9241-210 and FDA usability requirements
Data security, privacy, and interoperability must be ensured, particularly as sDHTs become integrated into remote monitoring and decentralized clinical trials
Real-world evidence (RWE) should support usability validation, helping to bridge the gap between regulatory approval and real-world adoption
Regulatory bodies should work toward standardizing usability testing methodologies, ensuring consistency across clinical research, digital endpoints, and medical device evaluations
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.
Study Participant Feedback Questionnaire Toolkit
Study Participant Feedback Questionnaire Toolkit
The development of this standardized questionnaire highlights a critical gap in clinical research: the lack of a consistent method for collecting participant feedback. It implicitly finds that understanding the patient experience is essential for addressing issues like high dropout rates and patient burden. The tool's detailed sections suggest that factors from communication and scheduling to technology usability and visit burden are key determinants of a participant's trial experience.
Recommendations
The resource strongly recommends that sponsors and research sites proactively gather structured feedback directly from study participants. It advises using this tool to identify specific pain points in trial design and execution. The underlying recommendation is to adopt a more patient-centric and human-centered approach by integrating participant feedback into the continuous improvement of clinical trial protocols and operations, ultimately boosting recruitment and retention.
Regulatory Considerations
While not a formal regulatory guidance document, the tool supports the principles of patient-focused drug development (PFDD) encouraged by regulatory bodies like the FDA. Collecting data on the patient experience can help demonstrate that a trial's design and conduct minimizes undue burden and is ethically sound. This feedback can be a valuable component of submissions, illustrating a commitment to patient centricity and potentially improving the assessment of a trial's overall quality and integrity
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.
Developing a Digital Solution for Remote Assessment in Multiple Sclerosis: From Concept to Software as a Medical Device
Developing a Digital Solution for Remote Assessment in Multiple Sclerosis: From Concept to Software as a Medical Device
The MS digital health space is still largely uncharted.
Balancing the needs and desires of different users when creating a digital solution is challenging.
Insufficient adherence to remote digital health solutions presents a challenge to long-term engagement.
Creating a digital solution that is both meaningful to end users and aligned with regulatory standards involves challenges and compromises.
Recommendations
Employ an iterative development process to continually refine digital health solutions.
Collaborate closely with healthcare professionals and patients throughout the design process.
Use behavioral science strategies to enhance user engagement and adherence.
Ensure that digital solutions are scientifically robust and meet regulatory standards.
Implement a prescription-based model to improve adherence and integration into clinical practice.
Regulatory Considerations
Conduct technical verification and clinical validation for each assessment in digital health solutions.
Ensure data privacy and cybersecurity measures are robust and comply with local regulations.
Maintain ongoing post-marketing surveillance to monitor safety and effectiveness.
Adapt solutions to meet diverse regulatory requirements across different geographies.
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.