This database was last updated through 2019 and is no longer being updated.
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Expert User Reason to Use the Library
Regulators Improve access to a body of feasibility studies when assessing the appropriateness of a given technology for collecting outcomes data
Sponsors or clinical investigators selecting endpoints Helps identify endpoints that have a likelihood of meeting specific trial objectives
Clinical operations teams within sponsor organizations or academic sites seeking to select the most appropriate technology for their trial Aid the selection of the best technology for a specific endpoint
Clinical operations teams within sponsor organizations or academic sites seeking to evaluate operational feasibility and reduce risk of the planned trial Access to information that could be used to improve upon the planned trial
Technology manufacturers Promote understanding of how their tools are being used in clinical trials and how they can be improved to make them useful with other technologies
Patient groups Improve understanding of digital health technologies used in their medical area of interest
Individual patients Understand breadth of research activities using digital health technologies in their medical area of interest
Engineers and computer scientists (academic and other) aiming to develop algorithms to quantify novel outcomes (e.g. trial of software techniques to examine proof of concept work) Aid in determining whether algorithm X gives the expected output and is feasible, and whether methods are pragmatic and useful to answer a clinical question
IRBs and ethics boards Gain insight into how digital health technologies have been used in small studies in order assess potential privacy and/or safety concerns in proposed larger trials
Statisticians Provide an estimate of variance of the endpoints to support study power calculations
Investors and health policy planners Provide a snapshot of the state-of-the art of digital health technologies to help identify gaps in the field and future directions