Literature DB >> 27384501

Mobile health: the power of wearables, sensors, and apps to transform clinical trials.

Bernard Munos1, Pamela C Baker2, Brian M Bot3, Michelle Crouthamel4, Glen de Vries5, Ian Ferguson6, John D Hixson7, Linda A Malek8, John J Mastrototaro9, Veena Misra10, Aydogan Ozcan11, Leonard Sacks12, Pei Wang13.   

Abstract

Mobile technology has become a ubiquitous part of everyday life, and the practical utility of mobile devices for improving human health is only now being realized. Wireless medical sensors, or mobile biosensors, are one such technology that is allowing the accumulation of real-time biometric data that may hold valuable clues for treating even some of the most devastating human diseases. From wearable gadgets to sophisticated implantable medical devices, the information retrieved from mobile technology has the potential to revolutionize how clinical research is conducted and how disease therapies are delivered in the coming years. Encompassing the fields of science and engineering, analytics, health care, business, and government, this report explores the promise that wearable biosensors, along with integrated mobile apps, hold for improving the quality of patient care and clinical outcomes. The discussion focuses on groundbreaking device innovation, data optimization and validation, commercial platform integration, clinical implementation and regulation, and the broad societal implications of using mobile health technologies.
© 2016 New York Academy of Sciences.

Entities:  

Keywords:  biosensors; clinical study; data; health care; medical device; mobile technology; wireless

Mesh:

Year:  2016        PMID: 27384501     DOI: 10.1111/nyas.13117

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  16 in total

1.  Mobile Health Technology for Pediatric Symptom Monitoring: A Feasibility Study.

Authors:  Jacqueline Vaughn; Siddharth Gollarahalli; Ryan J Shaw; Sharron Docherty; Qing Yang; Chandni Malhotra; Erika Summers-Goeckerman; Nirmish Shah
Journal:  Nurs Res       Date:  2020 Mar/Apr       Impact factor: 2.381

2.  A Pilot Study to Assess the Feasibility of Collecting and Transmitting Clinical Trial Data with Mobile Technologies.

Authors:  Colleen Russell; Nadir Ammour; Toby Wells; Nicolas Bonnet; Matthias Kruse; Agnes Tardat; Christel Erales; Thomas Shook; Stephane Kirkesseli; Lionel Hovsepian; Sy Pretorius
Journal:  Digit Biomark       Date:  2018-11-07

Review 3.  Could Artificial Intelligence/Machine Learning and Inclusion of Diet-Gut Microbiome Interactions Improve Disease Risk Prediction? Case Study: Coronary Artery Disease.

Authors:  Baiba Vilne; Juris Ķibilds; Inese Siksna; Ilva Lazda; Olga Valciņa; Angelika Krūmiņa
Journal:  Front Microbiol       Date:  2022-04-11       Impact factor: 6.064

4.  eHealth in the future of medications management: personalisation, monitoring and adherence.

Authors:  Josip Car; Woan Shin Tan; Zhilian Huang; Peter Sloot; Bryony Dean Franklin
Journal:  BMC Med       Date:  2017-04-05       Impact factor: 8.775

Review 5.  Measuring what matters to rare disease patients - reflections on the work by the IRDiRC taskforce on patient-centered outcome measures.

Authors:  Thomas Morel; Stefan J Cano
Journal:  Orphanet J Rare Dis       Date:  2017-11-02       Impact factor: 4.123

6.  Using a ResearchKit Smartphone App to Collect Rheumatoid Arthritis Symptoms From Real-World Participants: Feasibility Study.

Authors:  Michelle Crouthamel; Emilia Quattrocchi; Sarah Watts; Sherry Wang; Pamela Berry; Luis Garcia-Gancedo; Valentin Hamy; Rachel E Williams
Journal:  JMIR Mhealth Uhealth       Date:  2018-09-13       Impact factor: 4.773

7.  When All Else Fails, Listen to the Patient: A Viewpoint on the Use of Ecological Momentary Assessment in Clinical Trials.

Authors:  Aaron M Mofsen; Thomas L Rodebaugh; Ginger E Nicol; Colin A Depp; J Philip Miller; Eric J Lenze
Journal:  JMIR Ment Health       Date:  2019-04-21

8.  Assessment of Physical Activity by Wearable Technology During Rehabilitation After Cardiac Surgery: Explorative Prospective Monocentric Observational Cohort Study.

Authors:  Isabeau Thijs; Libera Fresiello; Wouter Oosterlinck; Peter Sinnaeve; Filip Rega
Journal:  JMIR Mhealth Uhealth       Date:  2019-01-31       Impact factor: 4.773

9.  Heat Health Prevention Measures and Adaptation in Older Populations-A Systematic Review.

Authors:  An Vu; Shannon Rutherford; Dung Phung
Journal:  Int J Environ Res Public Health       Date:  2019-11-08       Impact factor: 3.390

10.  schema: an open-source, distributed mobile platform for deploying mHealth research tools and interventions.

Authors:  Adrian B R Shatte; Samantha J Teague
Journal:  BMC Med Res Methodol       Date:  2020-04-25       Impact factor: 4.615

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