Falls and Emergency Detection with Sensors and other Technologies

Enhancing Patient Safety Through an Integrated Internet of Things Patient Care System: Large Quasi-Experimental Study on Fall Prevention

Ming-Huan Wen, Po-Yin Chen, Shirling Lin, Ching-Wen Lien, Sheng-Hsiang Tu, Ching-Yi Chueh, Ying-Fang Wu, Kelvin Tan Cheng Kian, Yeh-Liang Hsu, Dorothy Bai

J Med Internet Res 2024 (Oct 03); 26:e58380

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Ability of Heart Rate Recovery and Gait Kinetics in a Single Wearable to Predict Frailty: Quasiexperimental Pilot Study

Reshma Aziz Merchant, Bernard Loke, Yiong Huak Chan

JMIR Form Res 2024 (Oct 03); 8:e58110

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Feasibility of Measuring Smartphone Accelerometry Data During a Weekly Instrumented Timed Up-and-Go Test After Emergency Department Discharge: Prospective Observational Cohort Study

Brian Suffoletto, David Kim, Caitlin Toth, Waverly Mayer, Sean Glaister, Chris Cinkowski, Nick Ashenburg, Michelle Lin, Michael Losak

JMIR Aging 2024 (Sep 04); 7:e57601

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Exploring the Experiences of Community-Dwelling Older Adults on Using Wearable Monitoring Devices With Regular Support From Community Health Workers, Nurses, and Social Workers: Qualitative Descriptive Study

Arkers Kwan Ching Wong, Jonathan Bayuo, Jing Jing Su, Karen Kit Sum Chow, Siu Man Wong, Bonnie Po Wong, Athena Yin Lam Lee, Frances Kam Yuet Wong

J Med Internet Res 2024 (Aug 07); 26:e49403

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An Effective Deep Learning Framework for Fall Detection: Model Development and Study Design

Jinxi Zhang, Zhen Li, Yu Liu, Jian Li, Hualong Qiu, Mohan Li, Guohui Hou, Zhixiong Zhou

J Med Internet Res 2024 (Aug 05); 26:e56750

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Assessing the Efficacy of the ARMOR Tool–Based Deprescribing Intervention for Fall Risk Reduction in Older Patients Taking Fall Risk–Increasing Drugs (DeFRID Trial): Protocol for a Randomized Controlled Trial

Rekha Priyadarshini, Madhavi Eerike, Sakthivadivel Varatharajan, Gomathi Ramaswamy, Gerard Marshall Raj, Jerin Jose Cherian, Priyadharsini Rajendran, Venugopalan Gunasekaran, Shailaja V Rao, Venu Gopala Rao Konda

JMIR Res Protoc 2024 (Jun 11); 13:e55638

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Academic Detailing as a Health Information Technology Implementation Method: Supporting the Design and Implementation of an Emergency Department–Based Clinical Decision Support Tool to Prevent Future Falls

Hanna J Barton, Apoorva Maru, Margaret A Leaf, Daniel J Hekman, Douglas A Wiegmann, Manish N Shah, Brian W Patterson

JMIR Hum Factors 2024 (Apr 18); 11:e52592

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Head Protection Device for Individuals at Risk for Head Injury due to Ground-Level Falls: Single Trauma Center User Experience Investigation

Susan Haag, John Kepros

JMIR Hum Factors 2024 (Mar 19); 11:e54854

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Phase Angle and Impedance Ratio as Indicators of Physical Function and Fear of Falling in Older Adult Women: Cross-Sectional Analysis

Danielle A Sterner, Jeffrey R Stout, Kworweinski Lafontant, Joon-Hyuk Park, David H Fukuda, Ladda Thiamwong

JMIR Aging 2024 (Mar 05); 7:e53975

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BERT-Based Neural Network for Inpatient Fall Detection From Electronic Medical Records: Retrospective Cohort Study

Cheligeer Cheligeer, Guosong Wu, Seungwon Lee, Jie Pan, Danielle A Southern, Elliot A Martin, Natalie Sapiro, Cathy A Eastwood, Hude Quan, Yuan Xu

JMIR Med Inform 2024 (Jan 30); 12:e48995

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A Closed-Loop Falls Monitoring and Prevention App for Multiple Sclerosis Clinical Practice: Human-Centered Design of the Multiple Sclerosis Falls InsightTrack

Valerie J Block, Kanishka Koshal, Jaeleene Wijangco, Nicolette Miller, Narender Sara, Kyra Henderson, Jennifer Reihm, Arpita Gopal, Sonam D Mohan, Jeffrey M Gelfand, Chu-Yueh Guo, Lauren Oommen, Alyssa Nylander, James A Rowson, Ethan Brown, Stephen Sanders, Katherine Rankin, Courtney R Lyles, Ida Sim, Riley Bove

JMIR Hum Factors 2024 (Jan 11); 11:e49331

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