Research Article
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Year 2022, Volume: 8 Issue: 15, 1 - 11, 27.04.2022
https://doi.org/10.48121/jihsam.903224

Abstract

References

  • Abdullah, R., & Fakieh, B. (2020). Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study. Journal of medical Internet research, 22(5), e17620.
  • Appelboom, G., Camacho, E., Abraham, M. E., Bruce, S. S., Dumont, E. L., Zacharia, B. E., ... & Connolly, E. S. (2014). Smart wearable body sensors for patient self-assessment and monitoring. Archives of public health, 72(1), 1-9.
  • Bent, B., Goldstein, B. A., Kibbe, W. A., & Dunn, J. P. (2020). Investigating sources of inaccuracy in wearable optical heart rate sensors. Npj Digital Medicine, 3(1), 1–9. https://doi.org/10.1038/s41746-020-0226-6
  • Carey, J., Klotz, F., & Kenny, M. (2015). Power to the patient: How mobile technology is transforming healthcare. The Economist Intelligence Unit Report. The Economist Intelligence Limited.
  • Case, M. A., Burwick, H. A., Volpp, K. G., & Patel, M. S. (2015). Accuracy of smartphone applications and wearable devices for tracking physical activity data. Jama, 313(6), 625-626.
  • Chandrasekaran, V. (2010). Measuring vital signs using smart phones. University of North Texas.
  • Chawla, N. (2020). AI, IOT and Wearable Technology for Smart Healthcare–A Review. Int J Green Energy, 7(1), 9-13.
  • Chong, K. P. L., Guo, J. Z., Deng, X., & Woo, B. K. P. (2020). Consumer perceptions of wearable technology devices: Retrospective review and analysis. JMIR MHealth and UHealth, 8(4). https://doi.org/10.2196/17544
  • Din, S., & Paul, A. (2019). Smart health monitoring and management system: Toward autonomous wearable sensing for internet of things using big data analytics. Future Generation Computer Systems, 91, 611-619.
  • Fuller, D., Colwell, E., Low, J., Orychock, K., Ann Tobin, M., Simango, B., … Taylor, N. G. A. (2020). Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review. JMIR MHealth and UHealth, 8(9), 1–23. https://doi.org/10.2196/18694
  • Gonçalves, J., Leitão, L., &Carvalho, V. (2017, June). Analysis of the reliability and accuracy of a wearable device: Comparative study with a certified clinical device. In 2017 12th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-6). IEEE.
  • Graham C. (2014) Study: Wearable Technology & Preventative Healthcare. http://technologyadvice.com/medical/blog/study-wearable-technology-preventativehealthcare/, 20.01.2021.
  • Greiwe, J., & Nyenhuis, S. M. (2020). Wearable Technology and How This Can Be Implemented into Clinical Practice. Current Allergy and Asthma Reports, 20(8). https://doi.org/10.1007/s11882-020-00927-3
  • Haghi, M., & Deserno, T. M. (2020). General conceptual framework of futurewearables in healthcare: Unified, unique, ubiquitous, and unobtrusive (U4) for customized quantified output. Chemosensors, 8(3), 1–9. https://doi.org/10.3390/CHEMOSENSORS8030085
  • Jacomet, C., Ologeanu-Taddei, R., Prouteau, J., Lambert, C., Linard, F., Bastiani, P., & Dellamonica, P. (2020). Adoption and Attitudes of eHealth Among People Living with HIV and Their Physicians: Online Multicenter Questionnaire Study. JMIR mHealth and uHealth, 8(4), e16140.
  • Jin, D., Adams, H., Cocco, A. M., Martin, W. G., & Palmer, S. (2020). Smartphones and wearable technology: benefits and concerns in cardiology. Medical Journal of Australia, 212(2), 54-56.e1. https://doi.org/10.5694/mja2.50446
  • Kakria P, Tripathi NK, Kitipawang P. (2015). A Real-Time Health Monitoring System for Remote Cardiac Patients Using Smartphone and Wearable Sensors International Journal of Telemedicine and Applications. 2015, 1-11. doi:10.1155/2015/373474.
  • Khan, S., Parkinson, S., Grant, L., Liu, N., & Mcguire, S. (2020). Biometric systems utilising health data from wearable devices: applications and future challenges in computer security. ACM Computing Surveys (CSUR), 53(4), 1-29.
  • Kılıç, H. Ö. (2017). Giyilebilir teknoloji ürünleri pazarı ve kullanım alanları. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9(4), 99-112.
  • Kim, J., Campbell, A. S., de Ávila, B. E. F., & Wang, J. (2019). Wearable biosensors for healthcare monitoring. Nature biotechnology, 37(4), 389-406.
  • Kitanin, J. (2016). Beware of wearables: protecting privacy in a data-collecting world. Drexel Law Review Online, 9(1), 1-29.
  • Kristoffersson, A., & Lindén, M. (2020). A systematic review on the use of wearable body sensors for health monitoring: A qualitative synthesis. Sensors (Switzerland), 20(5). https://doi.org/10.3390/s20051502
  • Lauterbach, C. J., Romano, P. A., Greisler, L. A., Brindle, R. A., Ford, K. R., & Kuennen, M. R. (2020). Accuracy and Reliability of Commercial Wrist-Worn Pulse Oximeter During Normobaric Hypoxia Exposure Under Resting Conditions. Research Quarterly for Exercise and Sport, 1-10.
  • Lee, J. M., Kim, Y. W., & Welk, G. J. (2014). TRACK IT: Validity and utility of consumer-based physical activity monitors. ACSM's Health & Fitness Journal, 18(4), 16-21.
  • Li, G., & Wen, D. (2020). Wearable biochemical sensors for human health monitoring: sensing materials and manufacturing technologies. Journal of Materials Chemistry B, 8(16), 3423-3436.
  • Li, J., Ma, Q., Chan, A. H., & Man, S. S. (2019). Health monitoring through wearable technologies for older adults: Smart wearables acceptance model. Applied ergonomics, 75, 162-169.
  • Liu, Y., & Han, M. (2020). Determining the Key Factors of Wearable Devices Consumers’ Adoption Behavior Based on an MADM Model for Product Improvement. IEEE Transactions on Engineering Management, 1–16. https://doi.org/10.1109/TEM.2019.2960499
  • Lou, Z., Wang, L., Jiang, K., Wei, Z., & Shen, G. (2020). Reviews of wearable healthcare systems: Materials, devices and system integration. Materials Science and Engineering R: Reports, 140(August 2019), 100523. https://doi.org/10.1016/j.mser.2019.100523
  • Maskara R, Bhootra V, Thakkar D, Nishkalank N. (2017). A study on the perception of medical professionals towards artificial intelligence. International Journal of Multidisciplinary Research and Development, 4(4), 34-39.
  • Miyaji, T., Kawaguchi, T., Azuma, K., Suzuki, S., Sano, Y., Akatsu, M., … Yamaguchi, T. (2020). Patient-generated health data collection using a wearable activity tracker in cancer patients—a feasibility study. Supportive Care in Cancer, 28(12), 5953–5961. https://doi.org/10.1007/s00520-020-05395-z
  • Moon, J. H., Kang, M. K., Choi, C. E., Min, J., Lee, H. Y., & Lim, S. (2020). Validation of a wearable cuff-less wristwatch-type blood pressure monitoring device. Scientific reports, 10(1), 1-9.
  • Mosconi, P., Radrezza, S., Lettieri, E., & Santoro, E. (2019). Use of health apps and wearable devices: survey among Italian associations for patient advocacy. JMIR mHealth and uHealth, 7(1), e10242.
  • Muthu, B. A., Sivaparthipan, C. B., Manogaran, G., Sundarasekar, R., Kadry, S., Shanthini, A., & Dasel, A. (2020). IOT based wearable sensor for diseases prediction and symptom analysis in healthcare sector. Peer-to-Peer Networking and Applications, 13(6), 2123–2134. https://doi.org/10.1007/s12083-019-00823-2
  • Nwagwu, W. E., & Areo, H. A. (2020). Use of mobile technologies for care of internal medicine clients in Nigeria’s premier teaching hospital. Global Knowledge, Memory and Communication, 69(8–9), 613–633. https://doi.org/10.1108/GKMC-12-2019-0154
  • Oh, S., Kim, J. H., Choi, S. W., Lee, H. J., Hong, J., & Kwon, S. H. (2019). Physician confidence in artificial intelligence: an online mobile survey. Journal of medical Internet research, 21(3), e12422.
  • Paton, C., Hansen, M., Fernandez-Luque, L., & Lau, A. Y. (2012). Self-tracking, social media and personal health records for patient empowered self-care. Yearbook of medical informatics, 21(01), 16-24.
  • Piwek, L., Ellis, D. A., Andrews, S., & Joinson, A. (2016). The rise of consumer health wearables: promises and barriers. PLoS medicine, 13(2), e1001953.
  • Purohit, B., Kumar, A., Mahato, K., & Chandra, P. (2020). Smartphone-assisted personalized diagnostic devices and wearable sensors. Current Opinion in Biomedical Engineering, 13, 42–50. https://doi.org/10.1016/j.cobme.2019.08.015
  • PWC Health Research Institute (2014) Health Wariables: Early Days. https://www.pwc.se/sv/pdf-reports/health-wearables-early-days.pdf, Erişim Tarihi: 20.01.2021.
  • Saleem, K., Shahzad, B., Orgun, M. A., Al-Muhtadi, J., Rodrigues, J. J., & Zakariah, M. (2017). Design and deployment challenges in immersive and wearable technologies. Behaviour & Information Technology, 36(7), 687-698.
  • Sana, F., Isselbacher, E. M., Singh, J. P., Heist, E. K., Pathik, B., & Armoundas, A. A. (2020). Wearable Devices for Ambulatory Cardiac Monitoring: JACC State-of-the-Art Review. Journal of the American College of Cardiology, 75(13), 1582–1592. https://doi.org/10.1016/j.jacc.2020.01.046 Schall Jr, M. C., Sesek, R. F., & Cavuoto, L. A. (2018). Barriers to the adoption of wearable sensors in the workplace: A survey of occupational safety and health professionals. Human factors, 60(3), 351-362.
  • Spann, S. (2016). Wearable fitness devices: Personal health data privacy in Washington state. The Seattle University Law Review, 39(4), 1411-1432.
  • Ton, V. K., Martin, S. S., Blumenthal, R. S., & Blaha, M. J. (2013). Comparing the new European cardiovascular disease prevention guideline with prior American Heart Association guidelines: an editorial review. Clinical cardiology, 36(5), E1-E6.
  • Tran, V. T., Riveros, C., & Ravaud, P. (2019). Patients’ views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort. NPJ digital medicine, 2(1), 1-8.
  • Turkish Information Technologies and Communication Authority (2020). Giyilebilir Teknolojiler Raporu. https://www.btk.gov.tr/uploads/pages/arastirma-raporlari/giyilebilir-teknolojiler-arastirma-raporu.pdf, 20.01.2021.
  • Wen, D., Zhang, X., & Lei, J. (2017). Consumers’ perceived attitudes to wearable devices in health monitoring in China: A survey study. Computer methods and programs in biomedicine, 140, 131-137.
  • Wu, L. H., Wu, L. C., & Chang, S. C. (2016). Exploring consumers’ intention to accept smartwatch. Computers in Human Behavior, 64, 383-392.
  • Wu, M., & Luo, J. (2019). Wearable technology applications in healthcare: A literature review. On-Line Journal of Nursing Informatics, 23(3). https://www.himss.org/ojni.
  • Yue, W., Voronova, L. I., & Voronov, V. I. (2020). Design and Implementation of a Remote Monitoring Human Health System. 2020 Systems of Signals Generating and Processing in the Field of on Board Communications. https://doi.org/10.1109/IEEECONF48371.2020.9078574
  • Zhu, M., & Pham, H. (2020). An Empirical Study of Factor Identification in Smart Health-Monitoring Wearable Device. IEEE Transactions on Computational Social Systems, 7(2), 404–416. https://doi.org/10.1109/TCSS.2020.2967749

A research on the perceptions of individuals and health professionals about the wearable technologies used in healthcare services

Year 2022, Volume: 8 Issue: 15, 1 - 11, 27.04.2022
https://doi.org/10.48121/jihsam.903224

Abstract

The aim of this study is to provide information about wearable technologies used in healthcare services, to make a literature review about the accuracy of data obtained from these technologies, and to reveal the perceptions of individuals and healthcare professionals about using of wearable technologies in healthcare services. In this context, firstly, the literature regarding the wearable technologies used in health services and the accuracy of the data obtained from them were examined. Then, an online questionnaire was prepared by the researchers regarding the usage levels of wearable and traditional digital technologies and the accuracy of the data obtained from these technologies. The sample of the study consisted of 439 participants, 137 of whom were healthcare professionals. According to the results, 64.9% of the participants used smart phones to monitor their health indicators. Only, 9.6% of participants reported that they used smart watches while 9.8% of participants reported that they used smart wristband. 65% of the healthcare professionals recommended traditional digital devices to their clients for monitoring their health indicators. 82.5% of the healthcare professionals reported that they would trust more the data obtained from pulse while only 5.1 of the healthcare professionals reported that they would not trust the data obtained from traditional digital devices nor wearable devices. The responses of the participants regarding the usage of wearable technologies and digital devices were differed significantly according to participants' profession, education, and age groups (p <0.05).

References

  • Abdullah, R., & Fakieh, B. (2020). Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study. Journal of medical Internet research, 22(5), e17620.
  • Appelboom, G., Camacho, E., Abraham, M. E., Bruce, S. S., Dumont, E. L., Zacharia, B. E., ... & Connolly, E. S. (2014). Smart wearable body sensors for patient self-assessment and monitoring. Archives of public health, 72(1), 1-9.
  • Bent, B., Goldstein, B. A., Kibbe, W. A., & Dunn, J. P. (2020). Investigating sources of inaccuracy in wearable optical heart rate sensors. Npj Digital Medicine, 3(1), 1–9. https://doi.org/10.1038/s41746-020-0226-6
  • Carey, J., Klotz, F., & Kenny, M. (2015). Power to the patient: How mobile technology is transforming healthcare. The Economist Intelligence Unit Report. The Economist Intelligence Limited.
  • Case, M. A., Burwick, H. A., Volpp, K. G., & Patel, M. S. (2015). Accuracy of smartphone applications and wearable devices for tracking physical activity data. Jama, 313(6), 625-626.
  • Chandrasekaran, V. (2010). Measuring vital signs using smart phones. University of North Texas.
  • Chawla, N. (2020). AI, IOT and Wearable Technology for Smart Healthcare–A Review. Int J Green Energy, 7(1), 9-13.
  • Chong, K. P. L., Guo, J. Z., Deng, X., & Woo, B. K. P. (2020). Consumer perceptions of wearable technology devices: Retrospective review and analysis. JMIR MHealth and UHealth, 8(4). https://doi.org/10.2196/17544
  • Din, S., & Paul, A. (2019). Smart health monitoring and management system: Toward autonomous wearable sensing for internet of things using big data analytics. Future Generation Computer Systems, 91, 611-619.
  • Fuller, D., Colwell, E., Low, J., Orychock, K., Ann Tobin, M., Simango, B., … Taylor, N. G. A. (2020). Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review. JMIR MHealth and UHealth, 8(9), 1–23. https://doi.org/10.2196/18694
  • Gonçalves, J., Leitão, L., &Carvalho, V. (2017, June). Analysis of the reliability and accuracy of a wearable device: Comparative study with a certified clinical device. In 2017 12th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-6). IEEE.
  • Graham C. (2014) Study: Wearable Technology & Preventative Healthcare. http://technologyadvice.com/medical/blog/study-wearable-technology-preventativehealthcare/, 20.01.2021.
  • Greiwe, J., & Nyenhuis, S. M. (2020). Wearable Technology and How This Can Be Implemented into Clinical Practice. Current Allergy and Asthma Reports, 20(8). https://doi.org/10.1007/s11882-020-00927-3
  • Haghi, M., & Deserno, T. M. (2020). General conceptual framework of futurewearables in healthcare: Unified, unique, ubiquitous, and unobtrusive (U4) for customized quantified output. Chemosensors, 8(3), 1–9. https://doi.org/10.3390/CHEMOSENSORS8030085
  • Jacomet, C., Ologeanu-Taddei, R., Prouteau, J., Lambert, C., Linard, F., Bastiani, P., & Dellamonica, P. (2020). Adoption and Attitudes of eHealth Among People Living with HIV and Their Physicians: Online Multicenter Questionnaire Study. JMIR mHealth and uHealth, 8(4), e16140.
  • Jin, D., Adams, H., Cocco, A. M., Martin, W. G., & Palmer, S. (2020). Smartphones and wearable technology: benefits and concerns in cardiology. Medical Journal of Australia, 212(2), 54-56.e1. https://doi.org/10.5694/mja2.50446
  • Kakria P, Tripathi NK, Kitipawang P. (2015). A Real-Time Health Monitoring System for Remote Cardiac Patients Using Smartphone and Wearable Sensors International Journal of Telemedicine and Applications. 2015, 1-11. doi:10.1155/2015/373474.
  • Khan, S., Parkinson, S., Grant, L., Liu, N., & Mcguire, S. (2020). Biometric systems utilising health data from wearable devices: applications and future challenges in computer security. ACM Computing Surveys (CSUR), 53(4), 1-29.
  • Kılıç, H. Ö. (2017). Giyilebilir teknoloji ürünleri pazarı ve kullanım alanları. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9(4), 99-112.
  • Kim, J., Campbell, A. S., de Ávila, B. E. F., & Wang, J. (2019). Wearable biosensors for healthcare monitoring. Nature biotechnology, 37(4), 389-406.
  • Kitanin, J. (2016). Beware of wearables: protecting privacy in a data-collecting world. Drexel Law Review Online, 9(1), 1-29.
  • Kristoffersson, A., & Lindén, M. (2020). A systematic review on the use of wearable body sensors for health monitoring: A qualitative synthesis. Sensors (Switzerland), 20(5). https://doi.org/10.3390/s20051502
  • Lauterbach, C. J., Romano, P. A., Greisler, L. A., Brindle, R. A., Ford, K. R., & Kuennen, M. R. (2020). Accuracy and Reliability of Commercial Wrist-Worn Pulse Oximeter During Normobaric Hypoxia Exposure Under Resting Conditions. Research Quarterly for Exercise and Sport, 1-10.
  • Lee, J. M., Kim, Y. W., & Welk, G. J. (2014). TRACK IT: Validity and utility of consumer-based physical activity monitors. ACSM's Health & Fitness Journal, 18(4), 16-21.
  • Li, G., & Wen, D. (2020). Wearable biochemical sensors for human health monitoring: sensing materials and manufacturing technologies. Journal of Materials Chemistry B, 8(16), 3423-3436.
  • Li, J., Ma, Q., Chan, A. H., & Man, S. S. (2019). Health monitoring through wearable technologies for older adults: Smart wearables acceptance model. Applied ergonomics, 75, 162-169.
  • Liu, Y., & Han, M. (2020). Determining the Key Factors of Wearable Devices Consumers&#x2019; Adoption Behavior Based on an MADM Model for Product Improvement. IEEE Transactions on Engineering Management, 1–16. https://doi.org/10.1109/TEM.2019.2960499
  • Lou, Z., Wang, L., Jiang, K., Wei, Z., & Shen, G. (2020). Reviews of wearable healthcare systems: Materials, devices and system integration. Materials Science and Engineering R: Reports, 140(August 2019), 100523. https://doi.org/10.1016/j.mser.2019.100523
  • Maskara R, Bhootra V, Thakkar D, Nishkalank N. (2017). A study on the perception of medical professionals towards artificial intelligence. International Journal of Multidisciplinary Research and Development, 4(4), 34-39.
  • Miyaji, T., Kawaguchi, T., Azuma, K., Suzuki, S., Sano, Y., Akatsu, M., … Yamaguchi, T. (2020). Patient-generated health data collection using a wearable activity tracker in cancer patients—a feasibility study. Supportive Care in Cancer, 28(12), 5953–5961. https://doi.org/10.1007/s00520-020-05395-z
  • Moon, J. H., Kang, M. K., Choi, C. E., Min, J., Lee, H. Y., & Lim, S. (2020). Validation of a wearable cuff-less wristwatch-type blood pressure monitoring device. Scientific reports, 10(1), 1-9.
  • Mosconi, P., Radrezza, S., Lettieri, E., & Santoro, E. (2019). Use of health apps and wearable devices: survey among Italian associations for patient advocacy. JMIR mHealth and uHealth, 7(1), e10242.
  • Muthu, B. A., Sivaparthipan, C. B., Manogaran, G., Sundarasekar, R., Kadry, S., Shanthini, A., & Dasel, A. (2020). IOT based wearable sensor for diseases prediction and symptom analysis in healthcare sector. Peer-to-Peer Networking and Applications, 13(6), 2123–2134. https://doi.org/10.1007/s12083-019-00823-2
  • Nwagwu, W. E., & Areo, H. A. (2020). Use of mobile technologies for care of internal medicine clients in Nigeria’s premier teaching hospital. Global Knowledge, Memory and Communication, 69(8–9), 613–633. https://doi.org/10.1108/GKMC-12-2019-0154
  • Oh, S., Kim, J. H., Choi, S. W., Lee, H. J., Hong, J., & Kwon, S. H. (2019). Physician confidence in artificial intelligence: an online mobile survey. Journal of medical Internet research, 21(3), e12422.
  • Paton, C., Hansen, M., Fernandez-Luque, L., & Lau, A. Y. (2012). Self-tracking, social media and personal health records for patient empowered self-care. Yearbook of medical informatics, 21(01), 16-24.
  • Piwek, L., Ellis, D. A., Andrews, S., & Joinson, A. (2016). The rise of consumer health wearables: promises and barriers. PLoS medicine, 13(2), e1001953.
  • Purohit, B., Kumar, A., Mahato, K., & Chandra, P. (2020). Smartphone-assisted personalized diagnostic devices and wearable sensors. Current Opinion in Biomedical Engineering, 13, 42–50. https://doi.org/10.1016/j.cobme.2019.08.015
  • PWC Health Research Institute (2014) Health Wariables: Early Days. https://www.pwc.se/sv/pdf-reports/health-wearables-early-days.pdf, Erişim Tarihi: 20.01.2021.
  • Saleem, K., Shahzad, B., Orgun, M. A., Al-Muhtadi, J., Rodrigues, J. J., & Zakariah, M. (2017). Design and deployment challenges in immersive and wearable technologies. Behaviour & Information Technology, 36(7), 687-698.
  • Sana, F., Isselbacher, E. M., Singh, J. P., Heist, E. K., Pathik, B., & Armoundas, A. A. (2020). Wearable Devices for Ambulatory Cardiac Monitoring: JACC State-of-the-Art Review. Journal of the American College of Cardiology, 75(13), 1582–1592. https://doi.org/10.1016/j.jacc.2020.01.046 Schall Jr, M. C., Sesek, R. F., & Cavuoto, L. A. (2018). Barriers to the adoption of wearable sensors in the workplace: A survey of occupational safety and health professionals. Human factors, 60(3), 351-362.
  • Spann, S. (2016). Wearable fitness devices: Personal health data privacy in Washington state. The Seattle University Law Review, 39(4), 1411-1432.
  • Ton, V. K., Martin, S. S., Blumenthal, R. S., & Blaha, M. J. (2013). Comparing the new European cardiovascular disease prevention guideline with prior American Heart Association guidelines: an editorial review. Clinical cardiology, 36(5), E1-E6.
  • Tran, V. T., Riveros, C., & Ravaud, P. (2019). Patients’ views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort. NPJ digital medicine, 2(1), 1-8.
  • Turkish Information Technologies and Communication Authority (2020). Giyilebilir Teknolojiler Raporu. https://www.btk.gov.tr/uploads/pages/arastirma-raporlari/giyilebilir-teknolojiler-arastirma-raporu.pdf, 20.01.2021.
  • Wen, D., Zhang, X., & Lei, J. (2017). Consumers’ perceived attitudes to wearable devices in health monitoring in China: A survey study. Computer methods and programs in biomedicine, 140, 131-137.
  • Wu, L. H., Wu, L. C., & Chang, S. C. (2016). Exploring consumers’ intention to accept smartwatch. Computers in Human Behavior, 64, 383-392.
  • Wu, M., & Luo, J. (2019). Wearable technology applications in healthcare: A literature review. On-Line Journal of Nursing Informatics, 23(3). https://www.himss.org/ojni.
  • Yue, W., Voronova, L. I., & Voronov, V. I. (2020). Design and Implementation of a Remote Monitoring Human Health System. 2020 Systems of Signals Generating and Processing in the Field of on Board Communications. https://doi.org/10.1109/IEEECONF48371.2020.9078574
  • Zhu, M., & Pham, H. (2020). An Empirical Study of Factor Identification in Smart Health-Monitoring Wearable Device. IEEE Transactions on Computational Social Systems, 7(2), 404–416. https://doi.org/10.1109/TCSS.2020.2967749
There are 50 citations in total.

Details

Primary Language English
Subjects Health Policy
Journal Section Orginal Research
Authors

Mehmet Çiğdem This is me 0000-0002-8022-5749

Safiye Şahin 0000-0003-1734-9586

Publication Date April 27, 2022
Published in Issue Year 2022 Volume: 8 Issue: 15

Cite

APA Çiğdem, M., & Şahin, S. (2022). A research on the perceptions of individuals and health professionals about the wearable technologies used in healthcare services. Journal of International Health Sciences and Management, 8(15), 1-11. https://doi.org/10.48121/jihsam.903224
AMA Çiğdem M, Şahin S. A research on the perceptions of individuals and health professionals about the wearable technologies used in healthcare services. Journal of International Health Sciences and Management. April 2022;8(15):1-11. doi:10.48121/jihsam.903224
Chicago Çiğdem, Mehmet, and Safiye Şahin. “A Research on the Perceptions of Individuals and Health Professionals about the Wearable Technologies Used in Healthcare Services”. Journal of International Health Sciences and Management 8, no. 15 (April 2022): 1-11. https://doi.org/10.48121/jihsam.903224.
EndNote Çiğdem M, Şahin S (April 1, 2022) A research on the perceptions of individuals and health professionals about the wearable technologies used in healthcare services. Journal of International Health Sciences and Management 8 15 1–11.
IEEE M. Çiğdem and S. Şahin, “A research on the perceptions of individuals and health professionals about the wearable technologies used in healthcare services”, Journal of International Health Sciences and Management, vol. 8, no. 15, pp. 1–11, 2022, doi: 10.48121/jihsam.903224.
ISNAD Çiğdem, Mehmet - Şahin, Safiye. “A Research on the Perceptions of Individuals and Health Professionals about the Wearable Technologies Used in Healthcare Services”. Journal of International Health Sciences and Management 8/15 (April 2022), 1-11. https://doi.org/10.48121/jihsam.903224.
JAMA Çiğdem M, Şahin S. A research on the perceptions of individuals and health professionals about the wearable technologies used in healthcare services. Journal of International Health Sciences and Management. 2022;8:1–11.
MLA Çiğdem, Mehmet and Safiye Şahin. “A Research on the Perceptions of Individuals and Health Professionals about the Wearable Technologies Used in Healthcare Services”. Journal of International Health Sciences and Management, vol. 8, no. 15, 2022, pp. 1-11, doi:10.48121/jihsam.903224.
Vancouver Çiğdem M, Şahin S. A research on the perceptions of individuals and health professionals about the wearable technologies used in healthcare services. Journal of International Health Sciences and Management. 2022;8(15):1-11.