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Tag: mobile tools
09/08/2023

Symposium to Spotlight Digital Mental Health Technology

Article Excerpt: Experts in the field of digital mental health will gather at Dartmouth on Sept. 19 to discuss opportunities and challenges in developing innovative digital tools that can transform mental health care. President Sian Leah Beilock will deliver opening remarks to kick off the Digital Mental Health & AI Symposium organized by the Center for Technology and Behavioral Health at the Hanover Inn. “The Center for Technology and Behavioral Health is a leader in the science of digital health as applied to health behavior,” says CTBH Director Lisa Marsch. “We are excited to host this event with the Dartmouth community to highlight the opportunities for using digital health tools to promote mental health anytime and anywhere.”

Full Article: https://tinyurl.com/2kjjkb6t

Article Source: Dartmouth News

06/29/2023

Mobile Voice Recognition Tech Can Help to Safeguard Mental Health Services

Article Excerpt: An intuitive, mobile solution using voice recognition that allows mental health clinicians to update notes, request changes to medication and create referral letters either while with the patient or straight afterwards, can radically reduce the time spent on administrative tasks. Information is recorded verbally, which is much quicker; and requests for additional services and support are processed immediately, avoiding unacceptable delays. Critically, patient information is up to date and, with direct integration to the EPR or other legacy system, all health providers, from acute services to GPs, have immediate visibility of a patient’s current status. This is particularly important for patients experiencing both mental and physical illness.

Full Article: https://tinyurl.com/3fd7ukxe

Article Source: Digital Health

12/15/2021

New Study Asks Which Smartphone Treatments Best Help Smokers Quit

Article Excerpt: Could your smartphone hold the key to quitting smoking? As new, technology-powered smoking cessation tools become available, a University of Florida research team is aiming to determine which ones work the best in real-world settings. In a newly funded study, psychologist JESSE DALLERY, PhD, along with implementation scientist RAMZI SALLOUM, PhD, will compare the impact of smartphone-delivered treatments to help smokers kick the habit and lead tobacco-free lives.

Full Article: https://tinyurl.com/8hes9waz

Article Source: University of Florida News

07/19/2021

Using mobile sensing data to assess stress: Associations with perceived and lifetime stress, mental health, sleep, and inflammation

Byrne ML, Lind MN, Horn SR, Mills KL, Nelson BW, Barnes ML, Slavich GM, Allen NB. (2021). Using mobile sensing data to assess stress: Associations with perceived and lifetime stress, mental health, sleep, and inflammation. Digital Health. https://doi.org/10.1177/20552076211037227

Researchers conducted a pilot study to validate a mobile sensing collection tool called Effortless Assessment of Risk States with measures of stress, mental health, sleep duration and inflammation. The study collected affective text language from smartphones among 25 young adult participants at a university. Participants installed a custom keyboard on their phones that collect every third word typed across all apps and the researchers analyzed text sentiment using a software package. The study collected data at two timepoints: once during a relatively less academically demanding period and once during a final exam period when participants are likely to be more stressed. Measures of stress, mental health and sleep are self-reported surveys. Saliva samples were collected to assess inflammation by analyzing the level of sCRP protein. Results indicate that the total number of positive words, total of negative words, and total of emotion expression words were strongly associated with lifetime stress exposure. Total negative words were found to be associated with decreased hours of sleep. Affective language was also shown to be associated with higher levels of stress and lower sCRP protein levels. Findings support the potential of using a mobile sensing tool to identify high stress and stress-related problems. For future directions, it could be helpful to develop a tool that can collect and analyze phrases of text (rather than words) and use alternate mobile sensing tools outside of keyboard usage.

09/25/2020

Using natural language processing and sentiment analysis to augment traditional user-centered design: Development and usability study

Petersen C, Halter R, Kotz D, et al. (2020). Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study. JMIR Mhealth Uhealth. 8(8): e16862. doi: 10.2196/16862

Researchers developed a mobile app for a Bluetooth-connected resistance exercise band to help seniors mitigate sarcopenia (age-related loss of muscle mass) and applied natural language processing (NLP) and sentiment analysis to end-user interview data. Read More

05/05/2020

Researchers Develop Chemistry Needed to Create Marijuana Breathalyzer

Article Excerpt: UCLA chemists have reported the key chemical discovery necessary for the creation of a small, electronic marijuana breathalyzer. The research is published in Organic Letters, a peer-reviewed journal of the American Chemical Society.

Full Article: https://tinyurl.com/y9b3nzs4

Article Source: Science Daily

04/24/2020

Connected medical technology and cybersecurity informed consent: A new paradigm

Tully J, Coravos A, Doerr M, Dameff C. (2020). Connected medical technology and cybersecurity informed consent: A new paradigm. Journal of Medical Internet Research. 22(3): e17612. doi: 10.2196/17612

In this viewpoint discussion, the authors propose the development of cybersecurity-informed patient consent to address the potential risks to patients (physical harm, compromised private health information) from connected medical technologies (e.g. wearable activity trackers, mobile apps, implantable medical devices, telemedicine platforms). Read More

02/13/2020

Dartmouth Researchers Study Use Of Voice Assistants In Detecting Dementia

Article Excerpt: Researchers from Dartmouth-Hitchcock and the University of Massachusetts Boston were recently awarded a four-year, $1.2 million grant from the National Institute on Aging to use voice assistant systems, such as Amazon’s Alexa and Google Home, to detect early cognitive impairment.

Full Article: https://tinyurl.com/wqa8gtl

Article Source: NH Business Review

02/08/2020

Sunday Seniors: Researchers Turn to Technology to Detect Dementia

Article Excerpt: Voice assistants like Amazon’s Alexa or Google Home can do everything from remotely turning on lights to keeping a to-do list.Now, researchers led by Dartmouth-Hitchcock and the University of Massachusetts Boston are hoping the voice assistant systems, which often rely on smart speakers to take verbal commands, can help people do something else: Pick up on early verbal signs of cognitive decline.

Full Article: https://tinyurl.com/rmwg3dt

Article Source: Valley News.  Also posted on Dartmouth Geisel School of Medicine News.