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"Objective: This randomized single-blind controlled trial tested the hypothesis that a prototype digital therapeutic developed to provide goal-based counseling with personalized passive and active game-based sound therapy would provide superior tinnitus outcomes, and similar usability, to a popular passive sound therapy app over a 12 week trial period. Methods: The digital therapeutic consisted of an app for iPhone or Android smartphone, Bluetooth bone conduction headphones, neck pillow speaker, and a cloud-based clinician dashboard to enable messaging and app personalization. The control app was a popular self-help passive sound therapy app called White Noise Lite (WN). The primary outcome measure was clinically meaningful change in Tinnitus Functional Index (TFI) between baseline and 12 weeks of therapy. Secondary tinnitus measures were the TFI total score and subscales across sessions, rating scales and the Client Oriented Scale of Improvement in Tinnitus (COSIT). Usability of the US and WN interventions were assessed using the System Usability Scale (SUS) and the mHealth App Usability Questionnaire (MAUQ). Ninety-eight participants who were smartphone app users and had chronic moderate-severe tinnitus (>6 months, TFI score > 40) were enrolled and were randomly allocated to one of the intervention groups. Thirty-one participants in the USL group and 30 in the WN group completed 12 weeks of trial. Results: Mean changes in TFI for the USL group at 6 (16.36, SD 17.96) and 12 weeks (17.83 points, SD 19.87) were clinically meaningful (>13 points reduction), the mean change in WN scores were not clinically meaningful (6 weeks 10.77, SD 18.53; 12 weeks 10.12 points, SD 21.36). A statistically higher proportion of USL participants achieved meaningful TFI change at 6 weeks (55%) and 12 weeks (65%) than the WN group at 6 weeks (33%) and 12 weeks (43%). Mean TFI, rating and COSIT scores favored the US group but were not statistically different from WN. Usability measures

App Directory Browse Manage Build Precision Healthcare Ecosystem Your settings have been saved. Browse Apps Google Drive Edit configuration Google Drive Added by Dennis OConnor on August 31st, 2018 * Google Drive lets you store files securely online, access them from anywhere, and collaborate with others. Add the Google Drive app to create Google Docs, import any type of file from Google Drive, and get notifications on new comments, files, and access requests - all without leaving your conversations in Slack. Authentication The Google Drive integration is built in for your workspace, but it must be configured for each individual member who wants to import Google Drive files. Authenticated as: askus@precisionhealthcareecosystem.org Usage Guide Use Google Drive within Slack to: Share and manage access to your files - either to view, edit, or leave comments - from within Slack. Get updates in Slack on changes in Drive, like comments, access requests, and new files shared with you. Reply directly to comments from within Slack and have them posted to the file. Continue the conversation with any additional comments in Google Drive going straight into that Slack thread. Find your files quickly, even if you don't remember their name, by searching directly in Slack. Slack automatically indexes the contents of any Google Drive file you share so you can find when you need it. Create new Google Docs, Slides, and Sheets directly from Slack by clicking the "+" button to the left of the Slack message box. Import an existing file from Google Drive directly from Slack by clicking the "+" button or pasting a link. You'll see a preview of the file in Slack. Customize Name Choose the name that this integration will post as. Using Slack Product Enterprise Pricing Support Slack Guides App Directory API Slack Jobs Customers Developers Events Blog Podcast Slack Sh

ABSTRACT Decentralized apps (DApps) are computer programs that run on a distributed computing system, such as a blockchain network. Unlike the client-server architecture that powers most internet apps, DApps that are integrated with a blockchain network can execute app logic that is guaranteed to be transparent, verifiable, and immutable. This new paradigm has a number of unique properties that are attractive to the biomedical and health care communities. However, instructional resources are scarcely available for biomedical software developers to begin building DApps on a blockchain. Such apps require new ways of thinking about how to build, maintain, and deploy software. This tutorial serves as a complete working prototype of a DApp, motivated by a real use case in biomedical research requiring data privacy. We describe the architecture of a DApp, the implementation details of a smart contract, a sample iPhone operating system (iOS) DApp that interacts with the smart contract, and the development tools and libraries necessary to get started. The code necessary to recreate the app is publicly available.

N1: wellness by experiment 17+ Back your wellness with data INGH Available on iOS only You can use this app to join a clinical trial on cognition. Comparing 2 treatments using caffeine (50-400 mg) and caffeine (50-400 mg) in combination with L-theanine (250 mg) : L-theanine is a naturally occurring amino acid most commonly found in green tea. I've downloaded the app will join the study. Interesting screen by screen informed consent process. Will report what I discover at an upcoming Apollo Meeting.

Results Of the 74 studies identified, the majority were reviews of a single or a group of similar apps (n = 66, 89%), nearly half related to disease management (n = 34, 46%). A total of 80 safety concerns were identified, 67 related to the quality of information presented including incorrect or incomplete information, variation in content, and incorrect or inappropriate response to consumer needs. The remaining 13 related to app functionality including gaps in features, lack of validation for user input, delayed processing, failure to respond to health dangers, and faulty alarms. Of the 52 reports of actual or potential consequences, 5 had potential for patient harm. We also identified 66 reports about gaps in app development, including the lack of expert involvement, poor evidence base, and poor validation.

"Thesis: "Patient Empowerment through Timely Information" On Friday, 1 October 2021, Thomas Timmers (CEO) successfully defended his doctoral PhD "Patient Empowerment through Timely Information" at Radboudumc.   He examines the impact of the provision of timely information using an app to increase patients' self-management throughout their treatment. The thesis includes a systematic review and the results of 2 large multi-center RCT's. Furthermore, a qualitative study was performed to determine what kind of timely education patients need."

"Sustainability of Weight Loss Through Smartphone Apps: Systematic Review and Meta-analysis on Anthropometric, Metabolic, and Dietary Outcomes"

Recommended by Tyler Orion, Endorsed by DeAunne Denmark, MD, PhD :This is an example of the high quality and thoughtful study design needed to accurately and meaningfully interpret real-world tracking data. This prediction signal would not have been detected in the larger (inconsistently reporting) group, or in those who hadn't tracked enough before getting sick. Which relates to the importance of creating a baseline health timeline and consistently collecting robust, standardized pre-intervention contextual data. And another illustration re: why I keep circling back to these in all of our n-of-1 discussions :)

"This pandemic has been studied more intensely in a shorter amount of time than any other human event. Our globalized world has rapidly generated and shared a vast amount of information about it. It is inevitable that there will be bad as well as good data in that mix. These massive, decentralized, and crowd-sourced data can reliably be converted to life-saving knowledge if tempered by expertise, transparency, rigor, and collaboration. When making your own decisions, read closely, trust carefully, and when in doubt, look to the experts."

Download the Mydatahelps app -- "When your heart beats faster than usual, it can mean that you're coming down with a cold, flu, coronavirus, or other viral infection. That's the conclusion of recent medical research. So wearable devices that measure your resting heart rate-made by Apple, Fitbit, Garmin, and others-might help scientists spot viral outbreaks, and also give you more insight into your own health. At Scripps Research, we've designed DETECT (Digital Engagement & Tracking for Early Control & Treatment), a study that will monitor your heart rate and allow you to record symptoms like fever or coughing."

Interview with Grace Chang, CEO of startup Kintsugi, an AI powered voice activated journaling app I've used intermittently for several months. ~ Dennis

"We leave a trail of digital data breadcrumbs as we go about our days. With access and good apps, we could make sense of this "small data" to help get a clearer picture of our personal health. Deborah Estrin, networked sensing pioneer, Professor of Computer Science at the new Cornell Tech campus in New York City and co-founder of the non-profit startup, Open mHealth, explains at TEDMED 2013."

"Our Mission Our mission is to provide exceptional personalized care, knowledgeable support, and scalable access to mental health and well-being for billions across the world. In over 250 international cities, Kintsugi is the first modern talk therapy app that leverages AI to scale access."

"Abstract The digital revolution is disrupting the ways in which health research is conducted, and subsequently, changing healthcare. Direct-to-consumer wellness products and mobile apps, pervasive sensor technologies and access to social network data offer exciting opportunities for researchers to passively observe and/or track patients 'in the wild' and 24/7. The volume of granular personal health data gathered using these technologies is unprecedented, and is increasingly leveraged to inform personalized health promotion and disease treatment interventions. The use of artificial intelligence in the health sector is also increasing. Although rich with potential, the digital health ecosystem presents new ethical challenges for those making decisions about the selection, testing, implementation and evaluation of technologies for use in healthcare. As the 'Wild West' of digital health research unfolds, it is important to recognize who is involved, and identify how each party can and should take responsibility to advance the ethical practices of this work. While not a comprehensive review, we describe the landscape, identify gaps to be addressed, and offer recommendations as to how stakeholders can and should take responsibility to advance socially responsible digital health research."

"SAN FRANCISCO - For the first time in a randomized controlled trial, brain exercises were shown effective in addressing depression in treatment-resistant older patients, who had previously used anti-depressive drug therapy without success. The exercises were shown to improve not only mood, but also the often-unaddressed cognitive deficits associated with geriatric depression. The study used neuroplasticity-based exercises from BrainHQ, the brain training app from Posit Science, plus two new exercises designed for the study."

While the term 'geriatric depression' tastes like ashes, I was pleased to see this research. I've been working with BrainHQ for some time and I can feel the neuroplastic growth.

"Abstract Traditional screening for COVID-19 typically includes survey questions about symptoms and travel history, as well as temperature measurements. Here, we explore whether personal sensor data collected over time may help identify subtle changes indicating an infection, such as in patients with COVID-19. We have developed a smartphone app that collects smartwatch and activity tracker data, as well as self-reported symptoms and diagnostic testing results, from individuals in the United States, and have assessed whether symptom and sensor data can differentiate COVID-19 positive versus negative cases in symptomatic individuals. We enrolled 30,529 participants between 25 March and 7 June 2020, of whom 3,811 reported symptoms. Of these symptomatic individuals, 54 reported testing positive and 279 negative for COVID-19. We found that a combination of symptom and sensor data resulted in an area under the curve (AUC) of 0.80 (interquartile range (IQR): 0.73-0.86) for discriminating between symptomatic individuals who were positive or negative for COVID-19, a performance that is significantly better (P