scholarly journals Consumer Views on Health Applications of Consumer Digital Data and Health Privacy Among US Adults: Qualitative Interview Study (Preprint)

2021 ◽  
Author(s):  
David Grande ◽  
Xochitl Luna Marti ◽  
Raina M Merchant ◽  
David A Asch ◽  
Abby Dolan ◽  
...  
Keyword(s):  
Data Collection ◽  
Digital Health ◽  
National Sample ◽  
Digital Data ◽  
Digital Information ◽  
Related Data ◽  
Qualitative Interview Study ◽  
Health Related ◽  
Digital Footprints ◽  
Health Applications

BACKGROUND In 2020, the number of internet users surpassed 4.6 billion. Individuals who create and share digital data can leave a trail of information about their habits and preferences that collectively generate a digital footprint. Studies have shown that digital footprints can reveal important information regarding an individual’s health status, ranging from diet and exercise to depression. Uses of digital applications have accelerated during the COVID-19 pandemic where public health organizations have utilized technology to reduce the burden of transmission, ultimately leading to policy discussions about digital health privacy. Though US consumers report feeling concerned about the way their personal data is used, they continue to use digital technologies. OBJECTIVE This study aimed to understand the extent to which consumers recognize possible health applications of their digital data and identify their most salient concerns around digital health privacy. METHODS We conducted semistructured interviews with a diverse national sample of US adults from November 2018 to January 2019. Participants were recruited from the Ipsos KnowledgePanel, a nationally representative panel. Participants were asked to reflect on their own use of digital technology, rate various sources of digital information, and consider several hypothetical scenarios with varying sources and health-related applications of personal digital information. RESULTS The final cohort included a diverse national sample of 45 US consumers. Participants were generally unaware what consumer digital data might reveal about their health. They also revealed limited knowledge of current data collection and aggregation practices. When responding to specific scenarios with health-related applications of data, they had difficulty weighing the benefits and harms but expressed a desire for privacy protection. They saw benefits in using digital data to improve health, but wanted limits to health programs’ use of consumer digital data. CONCLUSIONS Current privacy restrictions on health-related data are premised on the notion that these data are derived only from medical encounters. Given that an increasing amount of health-related data is derived from digital footprints in consumer settings, our findings suggest the need for greater transparency of data collection and uses, and broader health privacy protections.

scholarly journals Consumer Views on Health Applications of Consumer Digital Data and Health Privacy Among US Adults: Qualitative Interview Study

10.2196/29395 ◽  
2021 ◽  
Vol 23 (6) ◽  
pp. e29395
Author(s):  
David Grande ◽  
Xochitl Luna Marti ◽  
Raina M Merchant ◽  
David A Asch ◽  
Abby Dolan ◽  
...  
Keyword(s):  
Data Collection ◽  
Digital Health ◽  
National Sample ◽  
Digital Data ◽  
Digital Information ◽  
Related Data ◽  
Qualitative Interview Study ◽  
Health Related ◽  
Digital Footprints ◽  
Health Applications

Background In 2020, the number of internet users surpassed 4.6 billion. Individuals who create and share digital data can leave a trail of information about their habits and preferences that collectively generate a digital footprint. Studies have shown that digital footprints can reveal important information regarding an individual’s health status, ranging from diet and exercise to depression. Uses of digital applications have accelerated during the COVID-19 pandemic where public health organizations have utilized technology to reduce the burden of transmission, ultimately leading to policy discussions about digital health privacy. Though US consumers report feeling concerned about the way their personal data is used, they continue to use digital technologies. Objective This study aimed to understand the extent to which consumers recognize possible health applications of their digital data and identify their most salient concerns around digital health privacy. Methods We conducted semistructured interviews with a diverse national sample of US adults from November 2018 to January 2019. Participants were recruited from the Ipsos KnowledgePanel, a nationally representative panel. Participants were asked to reflect on their own use of digital technology, rate various sources of digital information, and consider several hypothetical scenarios with varying sources and health-related applications of personal digital information. Results The final cohort included a diverse national sample of 45 US consumers. Participants were generally unaware what consumer digital data might reveal about their health. They also revealed limited knowledge of current data collection and aggregation practices. When responding to specific scenarios with health-related applications of data, they had difficulty weighing the benefits and harms but expressed a desire for privacy protection. They saw benefits in using digital data to improve health, but wanted limits to health programs’ use of consumer digital data. Conclusions Current privacy restrictions on health-related data are premised on the notion that these data are derived only from medical encounters. Given that an increasing amount of health-related data is derived from digital footprints in consumer settings, our findings suggest the need for greater transparency of data collection and uses, and broader health privacy protections.

University students� experiences of Fitbit use and interpretations of digital health data (Preprint)

2018 ◽  
Author(s):  
Marianne Irene Clark ◽  
Matthew Driller
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Behavior Change ◽  
Digital Health ◽  
Emotional Responses ◽  
Data Interpretation ◽  
Digital Data ◽  
Related Data ◽  
Health Related ◽  
Wearable Activity Trackers

BACKGROUND Wearable fitness trackers are becoming increasingly affordable and accessible making them an alluring tool for mHealth interventions and strategies. Research to date has focused primarily on issues of efficacy, accuracy and acceptability with equivocal conclusions, yet little is known about how individuals interpret and make sense of their personalized data in relationship to health. This knowledge could elaborate on existing understandings of user experience and enhance the design and implementation of mHealth initiatives involving self-tracking technology. OBJECTIVE The objective of this study was to gain an in-depth understanding of how university students respond to and interpret personalized data generated by wearable activity-trackers in relation to health. METHODS Data were collected through four focus groups (N=26) with university students in New Zealand who voluntarily wore a Fitbit for 7 days for a separate research study. Focus group questions sought to explore how students engaged with and made sense of their digital data in relationship to health and physical activity and their perceptions of the value of the Fitbit. RESULTS Findings suggest wearing an activity tracker can prompt both positive and negative emotional responses that influence interpretation of data and have implications for behavior change. Results also show that data interpretation is highly dependent on contextual factors and that meanings of health are highly individual. Participants suggested that the knowledge gained through self-tracking was not sufficient to prompt behavior change, and that further support around navigating barriers to physical activity was needed. CONCLUSIONS Acknowledging the emotional responses evoked by digital data may enhance the design of future mHealth initiatives involving self-tracking technologies. Providing guidance and support around data interpretation may also help maximize the usefulness of these technologies, as the meanings of health-related data appear to be contingent upon the context in which it is generated and interpreted.

scholarly journals mHealth wearables and smartphone health tracking apps: A changing privacy landscape

2021 ◽  
pp. 1-9
Author(s):  
Christine Suver ◽  
Ellen Kuwana
Keyword(s):  
Data Privacy ◽  
Digital Health ◽  
Well Being ◽  
Unintended Consequences ◽  
Digital Data ◽  
Health Technologies ◽  
Related Data ◽  
Health Apps ◽  
Health Related ◽  
Being There

The use of digital health technologies is changing the ways people monitor and manage their health and well-being. There is increasing interest in using wearables and smartphone health apps to collect health-related data, a domain within digital health referred to as mHealth. Wearables and health apps can continuously monitor metrics such as physical activity, sleep, and heart rate, to name a few. These mHealth data can supplement the measures taken by healthcare professionals during regular doctor’s visits, with mHealth having the advantage of a much greater frequency of collection. But what are the privacy considerations with mHealth? This paper explores global data privacy protections, enumerates principles to guide regulations, discusses the tension between anonymity and data utility, and proposes ways to improve how we as a society talk about and safeguard data privacy. We include brief discussions about inadvertent or unintended consequences of digital data collection and the trade-off between privacy and public health interests, such as is illustrated by COVID-19 contract tracing apps. This paper concludes by offering suggestions for consideration about improving privacy and confidentiality notices.

Understanding Data Collection Mechanisms Used by Health and Wellness Applications (Preprint)

2021 ◽  
Author(s):  
Ben Philip ◽  
Mohamed Abdelrazek ◽  
Alessio Bonti ◽  
Scott Barnett ◽  
John Grundy
Keyword(s):  
Data Collection ◽  
User Experience ◽  
Health Data ◽  
Domain Model ◽  
Health And Wellness ◽  
Related Services ◽  
Related Data ◽  
Medical Apps ◽  
App Development ◽  
Health Related

UNSTRUCTURED Our objective is to better understand health-related data collection across different mHealth app categories. This would help in developing a health domain model for mHealth apps to facilitate app development and data sharing between these apps to improve user experience and reduce redundancy in data collection. We identified app categories listed in a curated library which was then used to explore the Google Play Store for health/medical apps that were then filtered using our inclusion criteria. We downloaded and analysed these apps using a script we developed around the popular AndroGuard tool. We analysed the use of Bluetooth peripherals and built-in sensors to understand how a given app collects/generates health data. We retrieved 3,251 applications meeting our criteria, and our analysis showed that only 10.7% of these apps requested permission for Bluetooth access. We found 50.9% of the Bluetooth Service UUIDs to be known in these apps, with the remainder being vendor specific. The most common health-related services using the known UUIDs were Heart Rate, Glucose and Body Composition. App permissions show the most used device module/sensor to be the camera (20.57%), closely followed by GPS (18.39%). Our findings are consistent with previous studies in that not many health apps were found to use built-in sensors or peripherals for collecting health data. The use of more peripherals and automated data collection along with integration with other apps could increase usability and convenience which would eventually also improve user experience and data reliability.

Standard Descriptive Vocabulary and Archaeology Digital Data Collection

2017 ◽  
Vol 5 (3) ◽  
pp. 250-264 ◽  
Author(s):  
Caroline Beebe
Keyword(s):  
Data Collection ◽  
Digital Technology ◽  
New Technologies ◽  
Controlled Vocabulary ◽  
Digital Data ◽  
Primary Data ◽  
Digital Information ◽  
Chau Hiix ◽  
Facet Analysis ◽  
Small Science

ABSTRACTArchaeology has embraced the shift to digital technology for collecting, analyzing, and sharing data. Digital repositories are now recognized as essential for data stewardship and are setting standards for data deposition. These new technologies and systems support the scientific need for reproducible results through intra-cultural as well as cross-cultural hypothesis testing. Methods of digital data collection in the field, however, are often site specific, restricted by the limited availability of digital technologies, or not well suited for creating systems that support the requirements of the new digital information paradigm. As a small science project, the Chau Hiix Project in Belize will provide examples of the pitfalls in and insights about shifting to digital technology to make its primary data shareable and reusable. These experiences suggest the need for an international collaborative agenda that develops digital data description standards based on controlled vocabulary, facet analysis, and crosswalks implemented at the analog point of collection.

scholarly journals Digital Health Sensing for Personalized Dermatology

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3426 ◽  
Author(s):  
Pier Spinazze ◽  
Alex Bottle ◽  
Josip Car
Keyword(s):  
Real Time ◽  
Digital Health ◽  
Rapid Evolution ◽  
Related Data ◽  
Digital Devices ◽  
Opinion Piece ◽  
Health Related ◽  
Evolution Of Technology

The rapid evolution of technology, sensors and personal digital devices offers an opportunity to acquire health related data seamlessly, unobtrusively and in real time. In this opinion piece, we discuss the relevance and opportunities for using digital sensing in dermatology, taking eczema as an exemplar.

scholarly journals Incident Command Futurism

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Josh Gravenmier ◽  
Greg McGowan
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Mechanical Response ◽  
Cost Savings ◽  
Risk Identification ◽  
Digital Data ◽  
Digital Information ◽  
Incident Command ◽  
Response Status ◽  
Unified Command

ABSTRACT The availability of integrated remote sensing platforms and digital data collection and sharing tools is changing spill response. These tools facilitate a more effective and rapid decision-making process that can increase resource protection, improve responder safety, and reduce response costs. Early detection and response are a key to preventing smaller incidents from becoming larger. A variety of innovative tools now exist or are in development that could assist facilities and responders in the early stages and throughout an incident event to reduce human, environmental, and economic impacts. Real time field data collection for key parameters such as oil thickness and trajectory, SCAT data, oiled wildlife details, and resources at risk identification, allows for more robust data to be shared rapidly throughout the response operation. This information facilitates more effectively targeted deployment and re-deployment of human and mechanical response assets, and more immediate assessment of both environmental impacts and cleanup progress. Auto-population of incident command system forms as well as better document sharing and document retention through remote and cloud-based file saving platforms can improve the administrative and functional aspects of the response, contributing to enhanced efficiency. The ability to identify and effectively respond to rapidly changing circumstances provides the Unified Command with new tools to make better decisions and keep the public informed of progress. This paper considers new and emerging technologies as they may be applied to the work in a unified command setting, and how they may allow us to compress the operational period for decision-making and action, more accurately and more rapidly understand and share the spill response status, and how we may be able to enhance responder safety and recognize cost savings. We also consider some inherent risks associated with reliance on integrated technologies and digital information and will offer suggestions for drills and exercises to test and optimize these tools.

Health data sharing and use explored

Impact ◽  
2021 ◽  
Vol 2021 (8) ◽  
pp. 4-5
Author(s):  
Lucy Annette
Keyword(s):  
Data Sharing ◽  
Data Protection ◽  
Positive Impact ◽  
Digital Health ◽  
Health Data ◽  
Full Potential ◽  
Health And Wellness ◽  
Related Data ◽  
Health Related ◽  
The Right

Three expert roundtables took place as part of DigitalHealthEurope (DHE), with discussions surrounding health data sharing and use. In the first roundtable, the implementation of GDPR was explored and the experts delved into possible remaining challenges associated with understanding the way in which health related data may be used. Legal issues and the importance of data protection and citizen protection were discussed, as was the need for more human resources regarding data protection, which could be rectified by the provision of education in this area. The introduction of a new EU body responsible for data legislative needs was an idea that was put forward. Next, the law as an enabler of data use was discussed, along with the protection of citizens and data. It was highlighted that in order for the full potential of digital health to be realised, data literacy and skills are paramount. The experts also discussed how data can be used to protect citizens, without compromising a right to privacy, as well as the importance of generating the right data to ensure that it can be used to protect citizens' health and wellness. A further topic of discussion was how the development of a range of skills among data stakeholders would lead to the better use of data and that this would have a positive impact on health and wellness.

scholarly journals Mecanismos da gestão do conhecimento para avaliação dos portais hospitalares universitários do nordeste brasileiro

2013 ◽  
Vol 5 (2) ◽  
pp. 134-154
Author(s):  
Helio Roberto Hekis ◽  
Kleber Cavalcanti Sousa ◽  
Jamil Ramsi Farkat Diogenes ◽  
Ricardo Alexsandro de Medeiros Valentim ◽  
Luis Miguel Domingues Fernandes Ferreira
Keyword(s):  
Knowledge Management ◽  
Data Collection ◽  
Knowledge Transfer ◽  
Knowledge Creation ◽  
University Hospitals ◽  
Related Data ◽  
Exchange Information ◽  
Health Related ◽  
Access To Knowledge ◽  
The University

Hospital portals that manage health related data are becoming increasingly popular since they play an important role to provide, acquire and exchange information to its users. This study aims to verify how the hospital portals are contributing to the expansion of users knowledge by the analysis of interactive features associated with three mechanisms of knowledge management: Knowledge Access (KA); Knowledge Creation (KC); and Knowledge Transfer (KT). The study is exploratory, descriptive and qualitative, classified as a survey, and involves the standardization of data collection instruments (questionnaires and interviews) applied directly to people of a particular population to evaluate the knowledge management the portals present on the university hospitals from northeastern of Brazil. The results indicated that the proceeds of access to knowledge (AK) prevailed over other confirming the results found on the Asians and Americans hospital portals. 

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