- Ethics in Clinical Research
- Mobile Health and mHealth Applications
- Digital Mental Health Interventions
- Artificial Intelligence in Healthcare and Education
- Social Media in Health Education
- Health Policy Implementation Science
- Privacy, Security, and Data Protection
- Innovative Human-Technology Interaction
- Technology Use by Older Adults
- Physical Activity and Health
- Obesity, Physical Activity, Diet
- Academic integrity and plagiarism
- Ethics and Social Impacts of AI
- Focus Groups and Qualitative Methods
- Innovations in Medical Education
- Mental Health Research Topics
- Machine Learning in Healthcare
- Health and Medical Research Impacts
- Health Literacy and Information Accessibility
- Health disparities and outcomes
- Ethics in medical practice
- Biomedical Ethics and Regulation
- COVID-19 Digital Contact Tracing
- Artificial Intelligence in Healthcare
- Mobile Crowdsensing and Crowdsourcing
Human Longevity (United States)
2020-2025
University of California, San Diego
2016-2025
University of Massachusetts Chan Medical School
2025
Qualcomm (United States)
2016-2024
Institute on Aging
2019-2021
Northwestern University
2021
Optum (United States)
2021
Cornell University
2021
UC San Diego Health System
2017-2020
Scripps Research Institute
2017
The U.S. population over 65 years of age is increasing. Most older adults prefer to in place, and technologies, including Internet things (IoT), Ambient/Active Assisted Living (AAL) robots other artificial intelligence (AI), can support independent living. However, a top-down design process creates mismatches between technologies adults’ needs. A user-centered approach was used identify perspectives regarding AAL AI gauge interest participating co-design process. survey obtain demographic...
As the popularity and diversity of social media platforms increases so does their utility for health research. Using recruitment into clinical studies and/or delivering behavior interventions may increase reach to a broader audience. However, evidence supporting efficacy these approaches is limited, key questions remain with respect optimal benchmarks, intervention development methodology, participant engagement, informed consent, privacy, data management. Little methodological guidance...
We investigated if participants in social media surveillance studies could be reverse identified by reviewing all articles published on PubMed 2015 or 2016 with the words "Twitter" and either "read," "coded," "content" title abstract. Seventy-two percent (95% CI: 63-80) of quoted at least one participant's tweet searching for content led to participant 84% 74-91) time. Twenty-one 13-29) disclosed a Twitter username thereby making immediately identifiable. Only article reported obtaining...
Abstract Background In 2015, Collins and Varmus articulated a vision for precision medicine emphasizing molecular characterization of illness to identify actionable biomarkers support individualized treatment. Researchers have argued broader conceptualization, health. Precision health is an ambitious conceptualization health, which includes dynamic linkages between research practice as well medicine, population public The goal unified approach match full range promotion, prevention,...
A major obstacle to mental health treatment for many Americans is accessibility: the United States faces a shortage of providers, resulting in federally designated areas. Although digital treatments (DMHTs) are effective interventions common disorders, they have not been widely adopted by U.S. care system. National and international expert stakeholders representing organizations, insurance companies payers, employers, patients, researchers, policy makers, economists, DMHT investment...
Abstract Digital technologies offer researchers new approaches to test personalized and adaptive health interventions tailored an individual. Yet, research leveraging capture personal data involve technical ethical consideration during the study design phase. No guidance exists facilitate responsible digital technology selection for purposes. A stakeholder-engaged iterative approach was used develop, test, refine a checklist designed aid in selecting their research. First, stakeholders (n =...
Vast quantities of personal health information and private identifiable are being created through mobile apps, wearable sensors, social networks. While new strategies tools for obtaining data have expanded researchers' abilities to design test personalized adaptive interventions, the deployment pervasive sensing computational techniques gather research is raising ethical challenges Institutional Review Boards (IRBs) charged with protecting participants. To explore experiences with,...
Researchers utilize mobile imaging, pervasive sensing, social media, and location tracking (MISST) technologies to observe intervene with participants in their natural environment. The use of MISST methods tools introduces unique ethical issues due the type quantity data, produces raising new challenges around informed consent, risk assessment, data management. Since are relatively behavioral research, there is little documented evidence guide institutional review board (IRB) assessment...
Research studies that leverage emerging technologies, such as passive sensing devices and mobile apps, have demonstrated encouraging potential with respect to favorably influencing the human condition. As a result, nascent fields of mHealth digital medicine gained traction over past decade in United States by increased federal funding for research cuts across broad spectrum health conditions. The existence also introduced new ethical regulatory challenges both institutional review boards...
As of March 2021, in the USA, COVID-19 pandemic has resulted over 500,000 deaths, with a majority being people 65 years age. Since start 2020, preventive measures, including lockdowns, social isolation, quarantine, and distancing, have been implemented to reduce viral spread. These while effective for risk prevention, may contribute increased isolation loneliness among older adults negatively impact their mental physical health.
Digital therapeutics (DTx) are a promising way to provide safe, effective, accessible, sustainable, scalable, and equitable approaches advance individual population health. However, developing deploying DTx is inherently complex in that includes multiple interacting components, such as tools support activities like medication adherence, health behavior goal-setting or self-monitoring, algorithms adapt the provision of these according needs may change over time. While myriad frameworks exist...
Background: The rapid expansion of direct-to-consumer wearable fitness products (eg, Flex 2, Fitbit) and research-grade sensors SenseCam, Microsoft Research; activPAL, PAL Technologies) coincides with new opportunities for biomedical behavioral researchers. Underserved communities report among the highest rates chronic disease could benefit from mobile technologies designed to facilitate awareness health behaviors. However, nuanced ethical issues are introduced technologies, which...
PurposeTo quantify and characterize social determinants of health (SDoH) data coverage using single-center electronic records (EHRs) the National Institutes Health All Us research program.DesignRetrospective cohort study from June 2014 through 2021.ParticipantsAdults 18 years age or older with a diagnosis diabetic retinopathy, glaucoma, cataracts, age-related macular degeneration.MethodsFor Us, participants completed online survey forms as part nationwide prospective study. In local EHRs,...
Informed consent is a cornerstone of ethical human subject research. This practice demonstrates the principle "respect for persons." Our study was designed to imagine an informed future, specifically in digital health context which processes are mediated by sociotechnical systems. Design speed-dating workshops were conducted explore dimensions communication design space, including social media, interactive quizzes, chat-bots, annotation tools, and virtual learning sessions. To both user...
This article aims to describe the role of community health workers (CHWs) in promotion research and address challenges ethical concerns associated with this approach. A series six focus groups are conducted project managers investigators (n = 5 11 per session) who have worked CHWs research. These part a larger study funded by National Institutes Health titled “Training Research Ethics Standards” (Project TRES). Participants asked their training needs for respect human subject protections as...
Due to the growing availability of consumer information, protection personal data is increasing concern.We assessed readability metrics privacy policies for apps that are either available or targeted toward youth inform strategies educate and protect from unintentional sharing data.We reviewed 1200 highest ranked Apple Google Play Stores systematically selected geared youth. After applying exclusion criteria, 99 highly minors remained, 64 which had a policy. We obtained analyzed these using...
Objectives Participant-led research (PLR) is a rapidly developing form of citizen science in which individuals can create personal and generalisable knowledge. Although PLR lacks formal framework for ethical review, participants should not be excused from considering the implications their work. Therefore, cohort consisting 24 self-trackers aimed to: (1) substitute ethics board procedures with engagement reflection before throughout study (2) draft principles to encourage further development...
In 2019, The Shift Project1The ProjectLean ICT: towards digital sobriety—report of the working group directed by Hugues Ferreboeuf for Think Tank Project.https://theshiftproject.org/wp-content/uploads/2019/03/Lean-ICT-Report_The-Shift-Project_2019.pdfDate: March, 2019Date accessed: May 1, 2020Google Scholar published a report to increase awareness environmental effects information and communication technologies (ICTs), particularly smartphone production use, multiplication connected Internet...
Introduction: Social isolation and loneliness (SI/L) are growing problems with serious health implications for older adults, especially in light of the COVID-19 pandemic. We examined transcripts from semi-structured interviews 97 adults (mean age 83 years) to identify linguistic features SI/L. Methods: Natural Language Processing (NLP) methods were used relevant interview segments (responses specific questions), extract type number social contacts such as sentiment, parts-of-speech,...