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MiNap: Backend Architecture and Implementation

Architecture and backend implementation of MiNap, a sleep diary app for smartwatches. Written by Anika Raisa Chowdhury and Max Liu. ... Mobile Application The mobile application is built using React Native, aiming to guarantee cross-platform compatibility and to allow participants to engage with their recent sleep sessions. The...

MiNap: Facilitating Sleep Medicine Research with Smartwatch Technology

This article introduces MiNap, an application developed to serve as a prototype for sleep medicine research data collection. The article shares an overview of the problem in hand, the designed... ... An companion cross-platform mobile application helps participants to share their feedback on the recent sleep cycle, as well as has the capability to house data visualizations to allow researchers...

Using Calendar and Time Dimension Tables to Standardize and Analyze Data Over Time

Ready-to-use code AI assistant prompts to generate these tables is freely available in the EFDC AI Prompt Database on GitHub, with support for multiple platforms including Power BI / Power Query... ... Ready-to-use code AI assistant prompts to generate these tables is freely available in the EFDC AI Prompt Database on GitHub, with support for multiple platforms including Power BI / Power Query...

2026 MeTRIC Symposium Mobile Device Gallery: Wearables in Research

The 2026 MeTRIC Symposium at the University of Michigan, hosted by the Eisenberg Family Depression Center's Mobile Technologies Core, featured a showcase of wearable, nearable, and connected... ... Data can be exported manually, through a provider portal, via Apple Health / Google Health Connect, or through study management platforms Compact, integrated design - physical monitor, screen and...

Overview of TrackMaster: Membership Tracking Tool for U-M Centers and Institutes

An overview of TrackMaster, a membership tracking tool built for University of Michigan and Michigan Medicine centers and institutes, by students in the U-M ITS Summer Internship program. ... Architecture TrackMaster primarily utilizes SharePoint Online as a web platform.

Resources for Mobile Technologies Research

This resource guide was developed for attendees of the MeTRIC Symposium at the University of Michigan held on November 1st, 2024. MeTRIC is a campus-wide collaboration designed to foster knowledge... ... Just-in-Time Adaptive Interventions Multilevel Adaptive Implementation Strategies Multimodal Adaptive Interventions Personalizing Just-in-Time Adaptive Interventions (pJITAIs) Justin: an...

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... ... Management Technology Resources: Clinical Trial Management Options for U-M (level 1 login required) U-M Approved Technology Options There are many options for study platforms The cost for these...

DIGIT-MI Presentations (2022-2023 Academic Year)

DIGIT-MI recordings from the 2022-2023 academic year. DIGIT-MI monthly meetings allow investigators across the University of Michigan to connect, learn, and share resources that encourage the... ... The projects reviewed utilize several types of mobile technologies, including continuous temperature monitoring and a mHealth platform that offers mental health support.

Power Automate Environment Variables Used by TrackMaster

TrackMaster uses Power Automate for several automations, from keeping the People list up-to-date with data from MCommunity, to getting info from Office 365, to bulk uploads and more. Many of... ... /guidance/coding-guidelines/use-environment-variables Microsoft Learn - Use environment variables in Power Automate solution cloud flows -...

Beautiful, Elegant, and Completely Wrong: Your AI Can Code But It Can't Think — A Survival Guide from Automators Anonymous

Your AI assistant can generate a working prototype in minutes — but trusting it without testing is a recipe for disaster. These 10 practical tips for writing code with generative AI come from... ... writing code with generative AI come from Automators Anonymous™ at the University of Michigan and Michigan Medicine, where members build clinical, research, and operational tools using JavaScript,...

MiNap: User-Facing Front End

This article walks through the MiNap application ecosystem, specifically the two front-end apps and researcher's dashboard. ... MiNap Mobile App The application has been meticulously developed utilizing React Native, thereby ensuring adaptability across diverse platforms.

DataLaVista™ Official Documentation: Design and Publish Dashboards with Zero Infrastructure

DataLaVista™ is a lightweight, client-side reporting and dashboard toolkit that brings the full power of SQL directly to your browser, allowing you to build high-performance visualizations without... ... Permissions for accessing data sources and published reports are handled entirely by the platform hosting DataLaVista (e.g., SharePoint). Inside Another Web Application or Standalone For other web...

Sleep Data Automation for Fitbit: Overview

Overview of the Sleep Data Automation code, a project developed by the Mobile Technologies Core and the Sleep & Circadian Rhythm Laboratory to automate the process of cleaning sleep data from... ... Network (MDEN) Repository: https://github.com/DepressionCenter/MDEN Microsoft Power Query: https://powerquery.microsoft.com/en-us/ Microsoft Power Automate:...

MDEN Presentations (2024-2025 Academic Year)

The Mobile Data Expert Network (MDEN) is a collaborative problem-solving network at the University of Michigan comprised of staff and junior faculty who develop and share tools and documentation... ... This presentation by the CareEvolution Product Engineering team showcases how mobile health platforms can streamline data acquisition for mobile health research.

Tips for using U-M Generative AI Tools

The University of Michigan and Michigan Medicine offer generative AI tools including UMGPT, Microsoft Copilot, Google Gemini and Gemini Notebook. This guide explains how to choose tools and models,... ... Is it running on a vendor’s cloud platform, on U-M/MM contracted cloud services, on U-M/MM infrastructure such as ARC, HITS servers, or MIDAS, or locally? To help you decide which AI tools and...