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2 videos found

An Overview of Privacy for Mobile Sensing Systems

Leveraging Implementation Science to Develop and Scale a Patient-Centered Platform to Support Aging in Place

8 videos found

The Potential of Digital Therapeutics to Deliver Guideline Psychological Care at Population Scale

Wearable Acoustic and Vibration Sensing and Machine Learning for Human Health and Performance

Designing User-Centric Health Technologies: A Team Science Challenge in Health-Computing Collaborations

Quality In, Quality Out: Techniques in Medical Data Annotation

VideoVitals: Noncontact Estimation of Vital Signs using AI

Digital Biomarkers: Human-Centric AI Research in Service of Quality of Life

Integrating Equity into Digital Interventions for Mental Health

Strategies to Improve Ethical and Responsible Digital Health Research

8 videos found

Understanding Engagement Strategies in Digital Behavioral Interventions

Maintaining Behavior Change in Digital Interventions

Passive Monitoring and Relapse Risk Prediction in Behavioral Health

Developing and Adopting Digital Biomarkers in mHealth Research

Experimental Design and Analytic Strategies for Adaptive Behavioral Interventions

Design Considerations for Preparation, Optimization, and Evaluation of Digital Therapeutics

Learning Algorithms to Personalize Digital Interventions in Real Time

6 videos found

Tools and Frameworks for Solving the 'Engagement Crisis' in e- and mHealth Research and Practice

What Can We Learn from Squid Game, Game of Thrones, or Breaking Bad to Lower the Socioeconomic Inequalities in Health?

Designing and Adapting mHealth Interventions for and with Different Population Groups: Examples from New Zealand

The Digital Biomarker Discovery Project: An Open Source Toolbox for Biosignal Analysis

Designing Reinforcement Learning Algorithms for Mobile Health

Designing for Intervention: How Digital Clinical Studies Can Move Beyond Observation

12 videos found

Welcome eReception: Overview & Structures of mHTI / Team Activities

Frameworks for Developing Behavioral Interventions

System Dynamics and Bayesian Modeling as Groundwork for Behavioral Interventions

Developing and Implementing Behavioral Intervention Technologies

ePlatforms for Implementing mHealth Studies

Aligning Community, Population, & Digital Health to Produce Agile Actionable Real World Evidence

Case Studies of Progression through Stages of Behavioral Intervention Development

mHTI Day 3: Ensuring Inclusion & Equity in Digital Health

18 videos found

Welcome Reception: Overview of mHTI Activities

Defining the Problem: Understanding Health Behaviors & Preparing to Change Them

Developing mHealth Interventions to Change Behavior

Sensing the Human Condition: The Engineers Perspective

Experimental Designs for Personalized Interventions

Promises and Pitfalls of Platforms for mHealth Studies

Leveraging Behavioral Insights to Promote Public Health

User-Centered Design for mHealth Interventions

Synergistic Collaboration Among Computing and Health Researchers

Engaging Engineering Professions and Creatives in mHealth Research

Ask the Experts: Tech Transfer & Productizing Your mHealth Innovation

Ask the Experts: IRB Approvals for mHealth Studies

2 videos found

Point-of-Care COVID-19 Diagnostics: Understanding Performance Metrics and Creating Practice Guidelines

Cerebral Cortex: An Open-Source Platform for Computational Modeling of High-Frequency Data

16 videos found

Experimental Designs for Personalized Digital Behavioral Interventions

Machine Learning and Big Data for Digital Behavioral Interventions

Agile Science: Behavior Change in the Real World

Optimizing Behavioral mHealth Interventions: What Does Control Systems Have to Offer?

Ethical, Legal, and Social Implications (ELSI) of mHealth Research

Open-Source Tools for Biometric Monitoring

Optimizing Behavioral mHealth Interventions: What Does Control Systems Engineering Have To Offer?

Moving Beyond User-Centered Design to Improve Population Health

Who Is in Your Data? Data and Machine Learning Limitations in Health Research

Amulet and Auracle: Wearable Platforms for mHealth Research

21 videos found

Overviews and Goals of mHealth Institute

Unpacking the Black Box of Health Behavior Change

Enabling Mental Health Care with Digital Technology

Strengthening Health Systems with mHealth Innovation

Experimental Designs for Developing Adaptive Behavioral Interventions

User-centered Design for Optimizing Patient Engagement

Engaging Patients Through Behavioral Economics

Implementation Science for the mHealth Researcher

Conducting Technology-mediated Research in VHA: Lessons Learned and Recommendations

Predicting Mental Health and Measuring Sleep Using Machine Learning and Wearable Sensors / Mobile Phones

21st Century Medicine is Transforming Healthcare

Advancing Implementation Science in an mHealth World

Defining and Obtaining the Right Technology for Your mHealth Project

Visual Exploration of Smoking Cessation Data

25 videos found

Statistical Approaches for Biomarker Research

Experimental Design for Developing Multi-Component Behavioral Interventions

Machine Learning and Big Data to Facilitate Behavioral Interventions

Digital Ethnology and Vulnerable Populations

Ethics in the Mobile Era-Privacy and Data Concerns

mHealth Research Ethics: Navigating Consent, Risk Asssessment and Data Management

Getting Recognition for Interdisciplinary Scholarship

Improving Behavioral Measurements from Mobile Devices

7/27/17: Contextualizing Health Behaviors using Spatial Data and Technology: Advances, Opportunities, and Challenges

4/27/2017: mCerebrum: Enabling Development and Field Validation of mHealth Biomarkers and Interventions

3/16/17: HCI and Design for Healthcare Researchers and Practitioners

2/23/17: An Introduction to All of Us — The Precision Medicine Initiative: Anything But Cinical Research as Usual

1/26/17: Research Ethics in the Digital Age

33 videos found

Overview and Goals of mHealth Institute – Vivek Shetty

Understanding Behavior – Donna Spruijt-Metz

Explanatory and Predictive Models for mHealth – Peter Pirolli

Design Strategies – Gillian Hayes

Human Computer Interaction: Design Strategies – Pedja Klasnja

Opening the Black Box of mHealth Interventions – William Riley

mHealth and Health Systems – Steven Steinhubl

mHealth and Mental Health – Bonnie Zima

Sensors in the Age of P5 Medicine – Vivek Shetty

Point of Care Technologies for Limited Resource Settings – Aydogan Ozcan

Assessing Health Behaviors: Wearables – Santosh Kumar

Experimental Design and Data Analysis Methods for mHealth Interventions – Inbal Nahum-Shani

Using Behavioral Economics to Advance mHealth Interventions – Craig Fox

Statistical Methodologies for mHealth – David Elashoff

mHealth Studies in Vulnerable Populations – Philippe Bourgois

Ethics in the Mobile Era: Tracking Privacy and Data Concerns – Tiffany Cvrkel

Developing and Productizing Sensor Technologies for Real-World Applications – William Kaiser

Mental Health Apps: Lessons from the Trenches – Julia Hoffman

An Intellectual Property Primer for Faculty – Katherine Fibiger

How to Engage a Technologist or Health Professional in mHealth – Donna Spruijt-Metz, Santosh Kumar

Interdisciplinary/Collaborative Research: Getting Recognized – Paul Micevych

Getting Funding for mHealth Projects – Richard Conroy

11/03/16: IoT Cyberinfrastructure: Mobile Health Addressing Disparities in the Southern U.S.

11/02/16: Do More with User Data by Doing the Right Thing for Privacy and Security in the Cloud

10/18/16: Machine Learning Methods for Mobile Health Research

8/25/16: ResearchStack: Building a Cross-Platform Mobile Research Study in 30 Minutes!

5/26/16: Towards Continuous Eye Monitoring in the Mobile Environment with Ultra Low-power Computational Eyeglasses

4/20/16: Interactive Computing Beyond Weiser’s Ubicomp

4/7/16: Social Determinants and Smoking Cessation

3/10/16: Using a Continuous Measurement of Stress (cStress) to Trigger Just-in-Time Stress Intervention on Mobile Phones

3/17/16: Consumer Wearables: The Path to Clinical Application

2/18/16: Bioethics and Big Data

1/19/16: puffMarker: A Multi-Sensor Approach for Pinpointing the Timing of First Lapse in Smoking Cessation

27 videos found

mHTI Opening Remarks – James Economou

Overview and Goals of the mHealth Institute – Wendy Nilsen

mHealth Needs of Health Care Systems – Vivek Shetty

Understanding Behavior – Donna Spruijt-Metz

Changing Behavior – Lisa Marsch

Human-Computer Interaction and Usability – Scott Klemmer

Beyond “There’s an App for That” – Ida Sim

Developing Health Sensor Technologies for Real-World Applications – Steven Steinhubl

mHealth and Mental Health – Bonnie Zima

Wearable Wireless Sensors – Santosh Kumar

Computer Vision Methods for Assessing Behavior – James Rehg

Point of Care Technologies – Vivek Shetty

Developing Sensor Technologies for Low Resource Settings – Aydogan Ozcan

Clinical Trial Methodology – Susan Murphy

mHealth Statistical Approaches – David Elashoff

Machine Learning Approaches in mHealth – Shri Narayanan

Designing for Scale in Resource Scarce Settings – Blake Tye

Secure Collection of Sensitive mHealth Data – Mani Srivastava

Ethics in the Mobile Era – Tracking Privacy and Data Concerns – Tiffany Cvrkel

mHealth Product Life Cycles – Rajeev Rajan

How to Engage a Technologist or Health Professional in mHealth – Donna Spruijt-Metz

How to Engage a Technologist or Health Professional in mHealth – Santosh Kumar

Getting Recognition for Interdisciplinary Scholarship – Carole Goldberg

9/22/15: Precision Behavior Change: A Transdisciplinary ‘Moonshot’ Agenda for mHealth?

8/20/15: Understanding Behavior Through First Person Vision

8/6/15: Introduction to First Person Vision

6/23/15: Using Open mHealth to Break Down the Barriers to Integration of Digital Health Data

// ADVANCING mHEALTH RESEARCHERS

NIH mHealth Training Institute

The mHTI is a national connector/incubator/facilitator for advancing mHealth researchers with the transdisciplinary expertise and networks for co-creating practical healthcare solutions with societal impact.

Scholars develop a shared vocabulary and conceptual framework, acquire deep domain expertise in latest mHealth technologies and methodologies, and obtain the soft skills and team science abilities and connections essential for mHealth innovation.