Technology for Health Research

Information about technology selection, acquisition, and troubleshooting for remote research studies, including mobile technologies.

Categories (2)

Mobile Devices

Features, specs and troubleshooting of wearables, nearables, and other mobile devices used in research.

Research & Data Management Systems

Selection guides, features lists, and usage tips for clinical trial management systems that support mobile technologies.

Articles (8)

Collaboration and File Sharing Options at University of Michigan

This article summarizes the tools available for collaboration, file storage and file sharing at University of Michigan and Michigan Medicine.

Forms, Survey and Questionnaire Software Options at U-M

A compilation of software and cloud services for creating forms, surveys, polls, questionnaires, etc. A compilation of software and cloud services for electronic data capture, forms, surveys, polls, questionnaires, etc. Find the right survey tool for business, clinical or research use.

Remote Study Technology

Selecting technology to manage a study remotely is a big decision. This article includes considerations for selecting technology and information on vendors that are (at the time of writing) approved for use in research at U-M.

Technology Access for Research Participants

This article will help researchers plan for and overcome technology access challenges in the planning phase of their study.

Technology Elements & Budget Implications for Studies Utilizing Mobile Technologies

Understanding the technology elements for a study utilizing wearable and mobile technologies will assist researchers during the study planning process in several ways.

- Build a more accurate study budget.
- Develop a Data Management & Sharing Plan, which can be a requirement for funders and journal submissions.
- Prepare for regulatory and compliance processes, like an Information Assurance (IA) review, if needed

Tips for using U-M Generative AI Tools

A short tutorial on how to get started with generative AI tools at the University of Michigan, and tips for avoiding common pitfalls. Focus is on U-M GPT and language models GPT 3.5, GPT 4 Turbo, DALL·E 3, and Llama 2.

Tools of the Trade for Mobile Data

A compilation of software tools used by MDEN mobile tech researchers for working with mobile data, including: wearable programming, mobile app development, data extraction, data analysis, data presentation and visualizations, and data pipelines.

What Technologies Does the Mobile Technologies Core Support?

MTC focuses on consumer-grade, over-the-counter wearable and nearable devices with potential clinical applications. We concentrate on study management platforms from vetted vendors, although we can refer researchers to other resources when necessary.