Showing posts with label Wearables. Show all posts
Showing posts with label Wearables. Show all posts

Friday, July 18, 2025

Healthcare Wearables and Information Literacy: Navigating Data for Better Health

 


 

By Lilian H. Hill

 

In today’s digital age, health is increasingly data-driven. Dehghani and Dangelico (2018) define healthcare wearables as portable, embedded computers designed to be worn on the body. McDowell (2025) comments that a “dizzying array of devices” is available to “track physical activity, heart rate, blood pressure, temperature, blood oxygen, glucose levels, stress, sleep patterns, and movement” (p. 28). These include smartwatches, smart rings, armbands, smart eyeglasses, ingestible devices, chest-strap monitors, and clothing embedded with sensors. Wearable health technology is not confined to specialized medical devices for patient care. Major tech companies, such as Apple, have developed wearables designed for health-conscious consumers (Kang & Exworthy, 2022). Nearly a third of adults wear a device to monitor their health and fitness. The global market for wearable healthcare devices is projected to reach nearly $70 billion by 2028, with annual growth expected to surpass 11% (Eastwood, 2024).

 

Wearable devices and artificial intelligence (AI) collaborate to enhance health and wellness monitoring by collecting real-time data, including heart rate, sleep patterns, and activity levels, and utilizing AI to analyze it for patterns and insights. AI enables wearables to provide personalized feedback, detect anomalies such as irregular heart rhythms, and support the management of chronic diseases. This combination also plays a key role in remote healthcare, allowing providers to monitor patients more effectively and reduce the need for in-person visits (Moore et al., 2021). Together, wearables and AI transform raw data into meaningful and actionable information.

 

Categories of Wearable Technology

Wearable devices can be categorized into two main types: consumer-grade and medical-grade wearables. The latter are approved by the U.S. Food and Drug Administration, or FDA, which requires that medical-grade wearables undergo clinical research and meet stringent standards. They require a doctor’s prescription, and many are equipped with an app or receiver to transmit information to the physician. Consumer-grade wearables include smartwatches, fitness trackers, and sleep monitors. These devices typically measure data such as heart rate, steps, calories burned, sleep quality, and sometimes blood oxygen or ECG readings. Unlike clinical or medical-grade devices, consumer wearables are not intended for diagnosis or treatment; however, they offer users real-time feedback and insights to support their wellness and lifestyle goals.

 

Consumer-Grade Wearables

Information literacy is now essential to digital health. While they have become popular tools in personal wellness routines, using consumer-grade wearables effectively requires more than just strapping on a device. It requires the ability to critically assess, evaluate, and use data to make informed decisions. It enables individuals to navigate the complex flow of personal health data generated by wearables. For example, a fitness tracker may tell you that your heart rate variability is lower than average or that your sleep quality declined last night. McDowell (2025) notes that wearable devices may not be suitable for everyone. Although fluctuations in heart rate or blood pressure are normal, continuous monitoring can provoke anxiety in some individuals. When users lack the information literacy skills needed to interpret data patterns or assess the reliability of the information, these readings may cause confusion or stress (Piwek et al., 2016).

 

Consumer-grade wearables are improving in accuracy, but their performance may vary across different types and brands (McDowell, 2025). Algorithms can oversimplify complex health conditions, and not all devices meet clinical accuracy standards. Individuals need to understand the difference between consumer-grade tools and medical diagnostics and know when to question or supplement data with professional input. Information-literate users recognize that data alone is not knowledge. They contextualize numbers, look for patterns over time, and consider additional sources of information, including conversations with healthcare providers, to make informed judgments about their well-being (Lupton, 2014).

 

Medical-Grade Wearables

Medical-grade wearable devices support the management of chronic conditions such as diabetes, cardiovascular disease, and sleep disorders by delivering real-time data to individuals and their healthcare providers. Technological advances have made these devices more compact and less intrusive than they were before. They enhance patient engagement by providing tools and information that enable individuals to track their health and make informed decisions. Through remote monitoring and early detection of issues, wearables also have the potential to lower hospital readmission rates and reduce overall healthcare expenses.

 

Healthcare professionals increasingly rely on patients' wearable data for remote monitoring. This makes it even more important that individuals know how to read and report their data accurately. Patients who can summarize trends, ask informed questions, and detect irregularities are better equipped to collaborate with their providers and take an active role in managing their health (Kvedar et al., 2016). Advances in telemedicine have improved access to medical care for patients in rural or remote areas. Wearable technology also contributes significantly by supporting virtual care environments such as telemedicine and helping to ease the demand on hospitals and clinics (LaBoone & Marques, 2024). Information literacy, in this context, becomes a bridge between raw data and effective care. A growing body of research indicates that wearable devices can empower individuals by supporting diagnosis, promoting behavior change, and enabling self-monitoring (Kang & Exworthy, 2022).

 

Data Collected by Wearable Devices

Wearables collect vast amounts of data through sensors that track metrics such as steps, sleep stages, oxygen saturation, and heart rhythm. While these devices make health data more accessible, they also raise important questions:

·      What exactly is being measured?

·      How accurate is the data?

·      What external factors might affect these readings?

·      Who has access to and control of the data?

 

These questions point to broader concerns about data privacy and individual autonomy in the age of digital health (Marr, 2020). As wearables continuously collect and transmit sensitive physiological data, users often have limited knowledge of how their information is stored, shared, or used by third parties such as app developers, insurers, or employers. The lack of transparency in data governance raises ethical issues about consent and control. Without explicit regulatory protections, individuals risk losing ownership of their biometric information, which can be monetized or used in ways that impact their access to services or employment opportunities. Therefore, discussions around wearables must extend beyond functionality and convenience to include advocacy for stronger privacy policies, clearer user rights, and mechanisms for individuals to manage their health data meaningfully.

 

Adult Health Learning

Wearables enhance healthcare education by making learning timely, relevant, and integrated into everyday health practices. They enable real-time, personalized education focused on health management and wellness. For example, adults using fitness trackers, glucose monitors, or heart rate sensors receive immediate feedback that helps them understand how lifestyle choices impact their health, promoting self-directed learning aligned with adult learning principles. In chronic disease management, wearables support ongoing education by providing data that encourages patients to adjust behaviors and adhere to treatment plans. Users often find themselves researching the meaning of new metrics or using apps that recommend changes to diet, exercise, or sleep hygiene. The more informed the user, the more likely they are to seek out trustworthy sources, compare conflicting claims, and avoid misinformation. In this way, wearable technology can promote lifelong learning about health and wellness.

 

Conclusions

As wearable technology continues to evolve, it will play an even more prominent role in preventive medicine and personal health. Devices are becoming increasingly sophisticated, featuring AI-driven recommendations, real-time alerts, and seamless integration with electronic health records. However, the real value of this technology lies in the user’s ability to understand and act on the information it provides. Healthcare wearables represent a promising frontier in personal health management, but only when paired with strong information literacy. To benefit from information generated by wearables, individuals must develop the skills to interpret data critically, seek reliable sources, evaluate the credibility of health claims, and make informed decisions. Ultimately, health is not just about collecting data; it is about making sense of it.

 

References

Dehghani M, Kim K, Dangelico R. (2018). Will smartwatches last? Factors contributing to intention to keep using smart wearable technology. Telematics Informatics, 35(2), 480–90. doi: 10.1016/j.tele.2018.01.007. doi: 10.1016/j.tele.2018.01.007.

Eastwood, B. (2024, June 21). The latest trends in wearable technology for healthcare. CDO Times. https://cdotimes.com/2024/06/21/the-latest-trends-in-wearable-technology-for-healthcare-healthtech-magazine/

Kang, H. S., & Exworthy, M. (2022). Wearing the future-wearables to empower users to take greater responsibility for their health and care: Scoping review. JMIR Mhealth Uhealth, 10(7), e35684. https://doi.org/10.2196/35684

Kvedar, J., Fogel, A. L., & Elenko, E. (2016). Digital medicine's march on chronic disease. Nature Biotechnology, 34(3), 239–246. https://doi.org/10.1038/nbt.3495

LaBoone, P. A., & Marques, O. (2024). Overview of the future impact of wearables and artificial intelligence in healthcare workflows and technology. International Journal of Information Management Data Insights, 4(2), 100294. https://doi.org/10.1016/j.jjimei.2024

Lupton, D. (2014). Health promotion in the digital era: A critical commentary. Health Promotion International, 30(1), 174–183. https://doi.org/10.1093/heapro/dau091

Marr, B. (2020). The future of wearable technology in healthcare. Forbes. https://www.forbes.com/sites/bernardmarr/2020/01/13/the-future-of-wearable-technology-in-healthcare/

McDowell, J. D. (2025. July/August). Wear your health on your sleeve. AARP Bulletin.

Moore K, O'Shea E, Kenny L, Barton J, Tedesco S, Sica M, Crowe C, Alamäki A, Condell J, Nordström A, Timmons S, (2021). Older adults’ experiences with using wearable devices: Qualitative systematic review and meta-synthesis.
JMIR Mhealth Uhealth, 9(6):e23832 https://doi,org/10.2196/23832

 Piwek, L., Ellis, D. A., Andrews, S., & Joinson, A. (2016). The rise of consumer health wearables: Promises and barriers. PLOS Medicine, 13(2), e1001953. https://doi.org/10.1371/journal.pmed.1001953

Healthcare Wearables and Information Literacy: Navigating Data for Better Health

    By Lilian H. Hill   In today’s digital age, health is increasingly data-driven. Dehghani and Dangelico (2018) def...