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Integrating Personalized Technology in Toxicology: Sensors, Smart Glass, and Social Media Applications in Toxicology Research

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Abstract

Rapid proliferation of mobile technologies in social and healthcare spaces create an opportunity for advancement in research and clinical practice. The application of mobile, personalized technology in healthcare, referred to as mHealth, has not yet become routine in toxicology. However, key features of our practice environment, such as frequent need for remote evaluation, unreliable historical data from patients, and sensitive subject matter, make mHealth tools appealing solutions in comparison to traditional methods that collect retrospective or indirect data. This manuscript describes the features, uses, and costs associated with several of common sectors of mHealth research including wearable biosensors, ingestible biosensors, head-mounted devices, and social media applications. The benefits and novel challenges associated with the study and use of these applications are then discussed. Finally, opportunities for further research and integration are explored with a particular focus on toxicology-based applications.

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Authors and Affiliations

  1. Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women’s Hospital, 55 Lake Avenue North, Worcester, MA, 01655, USA

    Stephanie Carreiro, Jennifer Carey & Brittany Chapman

  2. Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women’s Hospital, Boston, MA, USA

    Peter R Chai & Edward W Boyer

Authors
  1. Stephanie Carreiro
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  2. Peter R Chai
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  3. Jennifer Carey
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  4. Brittany Chapman
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  5. Edward W Boyer
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Corresponding author

Correspondence to Stephanie Carreiro.

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Sources of Funding

Dr. Boyer is supported by the National Institutes of Health 1K24DA037109. Dr. Carreiro is supported by the National Institutes of Health KL2 TR001455-01.

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Carreiro, S., Chai, P.R., Carey, J. et al. Integrating Personalized Technology in Toxicology: Sensors, Smart Glass, and Social Media Applications in Toxicology Research. J. Med. Toxicol. 13, 166–172 (2017). https://doi.org/10.1007/s13181-017-0611-y

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  • DOI: https://doi.org/10.1007/s13181-017-0611-y

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