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Geolocation Patterns, Wi-Fi Connectivity Rates, and Psychiatric Symptoms Among Urban Homeless Youth: Mixed Methods Study Using Self-report and Smartphone Data

Geolocation Patterns, Wi-Fi Connectivity Rates, and Psychiatric Symptoms Among Urban Homeless Youth: Mixed Methods Study Using Self-report and Smartphone Data

Indeed, access issues unique to youth experiencing homelessness, such as transience, highlight the potential benefits of mobile DHI as a care delivery mechanism. Further, access to mobile devices is high for youth experiencing homelessness, with a recent review identifying that 53%-100% of homeless participants across 17 studies owned a mobile phone or smartphone [10].

Yousaf Ilyas, Shahrzad Hassanbeigi Daryani, Dona Kiriella, Paul Pachwicewicz, Randy A Boley, Karen M Reyes, Dale L Smith, Alyson K Zalta, Stephen M Schueller, Niranjan S Karnik, Colleen Stiles-Shields

JMIR Form Res 2023;7:e45309

The Postencounter Form System: Viewpoint on Efficient Data Collection Within Electronic Health Records

The Postencounter Form System: Viewpoint on Efficient Data Collection Within Electronic Health Records

Even when the availability of resources is not a barrier and advanced NLP is utilized to extract text-based data from clinical progress notes, there are still challenges to obtaining usable data and developing accurate models [6]. For example, many clinical progress notes contain text and information that can be extremely similar or the same as a result of providers copying-and-pasting to save time [4,7,8].

Philip Held, Randy A Boley, Walter G Faig, John A O'Toole, Imran Desai, Alyson K Zalta, Jawad Khan, Shannon Sims, Michael B Brennan, Rebecca Van Horn, Angela C Glover, Bala N Hota, Brian D Patty, S Shafiq Rab, Mark H Pollack, Niranjan S Karnik

JMIR Form Res 2020;4(4):e17429