Digital health at the age of the Anthropocene

Chevance, Guillaume; Hekler, Eric B.; Efoui-Hess, Maxime; Godino, Job G.; Golaszewski, Natalie M.; Gualtieri, Lisa; Krause, Andrew R.; Marrauld, Laurie; Nebeker, Camille; Perski, Olga; Simons, David; Taylor, Jennifer; Bernard, Paquito

doi:10.1016/s2589-7500(20)30130-8

Cited by 26 publications

(27 citation statements)

References 3 publications

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“…A need for greater awareness of the environmental impacts of digital technologies in the health sector was stressed. 23 , 26 , 27 Consultation and training on green IT practices (discussed above) were suggested as ways to increase awareness, 27 as was the creation of standards for assessing and auditing environmental impacts. 19 , 23 , 25 , 26 …”

Section: Resultsmentioning

confidence: 99%

“… 23 , 26 , 27 Consultation and training on green IT practices (discussed above) were suggested as ways to increase awareness, 27 as was the creation of standards for assessing and auditing environmental impacts. 19 , 23 , 25 , 26 …”

Section: Resultsmentioning

confidence: 99%

“…Such complexity necessitates multidisciplinary approaches that draw on technical fixes, but also on a range of associated social, economic, political and cultural factors. As such – and as some of the authors in our analysis emphasised 23 , 25 , 26 – if we want to consider the environmental impacts of DDAI technologies in health research, we need to look beyond technical fixes to problematise our social practices. 36 , 37 The drive to collect and analyse ever-increasing amounts of data is one example.…”

Section: Discussionmentioning

confidence: 99%

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The environmental sustainability of data-driven health research: A scoping review

Samuel

Lucassen

2022

DIGITAL HEALTH

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Data-Driven and Artificial Intelligence technologies are rapidly changing the way that health research is conducted, including offering new opportunities. This will inevitably have adverse environmental impacts. These include carbon dioxide emissions linked to the energy required to generate and process large amounts of data; the impact on the material environment (in the form of data centres); the unsustainable extraction of minerals for technological components; and e-waste (discarded electronic appliances) disposal. The growth of Data-Driven and Artificial Intelligence technologies means there is now a compelling need to consider these environmental impacts and develop means to mitigate them. Here, we offer a scoping review of how the environmental impacts of data storage and processing during Data-Driven and Artificial Intelligence health-related research are being discussed in the academic literature. Using the UK as a case study, we also offer a review of policies and initiatives that consider the environmental impacts of data storage and processing during Data-Driven and Artificial Intelligence health-related research in the UK. Our findings suggest little engagement with these issues to date. We discuss the implications of this and suggest ways that the Data-Driven and Artificial Intelligence health research sector needs to move to become more environmentally sustainable.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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The environmental sustainability of data-driven health research: A scoping review

Samuel

Lucassen

2022

DIGITAL HEALTH

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“…The purpose of the present review is to address the field of behavioral medicine directly, to communicate some of the risks, challenges and opportunities that climate change poses uniquely to behavioral medicine. A set of key scientific articles about the health consequences of climate change have already been directed to related disciplines in recent years, including geography [18], education [19], anthropology [20], economics [21], nutrition [22], psychology [23,24] as well as other medical specialities (e.g., oncology [25], epidemiology [26], psychiatry [27], digital medicine [28]). Some reflection papers are also emerging in outlets directed at clinicians [29][30][31][32].…”

Section: The Present Articlementioning

confidence: 99%

“…-Develop research to better account for the environmental impacts of behavioral medicine interventions in addition to their effects on health outcomes (see [28]).…”

Section: Updating Behavioral Medicine Definitions Based On the Planetary Health Conceptmentioning

confidence: 99%

Thinking health-related behaviors in a climate change context: A narrative review

Chevance¹,

Fresán²,

Hekler³

et al. 2021

Preprint

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Background: Human activities have changed the biosphere so profoundly over the past two centuries that human-induced climate change is now posing serious health-related treats to the current and future generations. Rapid actions from all scientific fields are needed to contribute to both the mitigation and adaption to climate change. Purpose: This article aims to identify bi-directional associations between climate change effects (i.e., rising average temperatures, natural disasters, air pollution, rising sea level) and health-related behaviors, as well as a set of key actions for the behavioral medicine community. Methods: We synthetized the existing literature about (i) the effects of rising average temperature, natural disasters, air pollution, and rising sea level on the food system and eating behaviors, physical activity, sleep, substance use, access to safe water, and preventive behaviors; and (ii) the concurrent positive and negative roles that health-related behaviors can play in mitigation and adaptation to climate change. Results: Based on this literature review, we propose one of the first model of the complex, occasionally bi-directional, associations between climate change and health-related behaviors. Key actions are proposed with particular consideration for health equity (i.e., between and within-countries, at the intergenerational level, as well as between men and women) of future behavioral interventions. Synergies are also proposed between the field of behavioral medicine, the study of complex systems and planetary health science. Conclusions: We contend that climate change is among the most urgent issue facing all scientists, and should become a central priority for the behavioral medicine community.

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Recommendations for developing a lifecycle, multidimensional assessment framework for mobile medical apps

et al. 2022

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Digital health at the age of the Anthropocene

Cited by 26 publications

References 3 publications

The environmental sustainability of data-driven health research: A scoping review

The environmental sustainability of data-driven health research: A scoping review

Thinking health-related behaviors in a climate change context: A narrative review

Recommendations for developing a lifecycle, multidimensional assessment framework for mobile medical apps

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