Towards Next-Generation Healthcare: Architectural Insights into an AI-Driven, Smartwatch-Compatible mHealth Application |
||
 |
 |
|
| © 2023 by IJCTT Journal | ||
| Volume-71 Issue-10 |
||
| Year of Publication : 2023 | ||
| Authors : Avnish Singh Jat, Tor-Morten Grønli, Abdullah Raza Lakhan | ||
| DOI : 10.14445/22312803/IJCTT-V71I10P111 | ||
How to Cite?
Avnish Singh Jat, Tor-Morten Grønli, Abdullah Raza Lakhan, "Towards Next-Generation Healthcare: Architectural Insights into an AI-Driven, Smartwatch-Compatible mHealth Application," International Journal of Computer Trends and Technology, vol. 71, no. 10, pp. 92-106, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I10P111
Abstract
With the rise of telemedicine and wearable technology, mHealth (mobile health) applications are becoming increasingly important in providing real-time, personalized healthcare solutions. However, integrating these technologies effectively to deliver high-quality care is a significant challenge. This paper proposes a novel system architecture for an AI-assisted mHealth application that seamlessly integrates video conferencing platforms, smartwatch APIs, and AI algorithms. Our proposed architecture facilitates real-time health monitoring during video consultations by allowing healthcare providers to access patients' health data gathered from their wearable smartwatches. Furthermore, integrating AI algorithms provides personalized health recommendations based on patterns identified from the collected data. Additionally, this research delves deep into the implementation considerations and cloud architectural paradigms, underscoring the challenges and discrepancies between proposed designs and real-world application feasibility. The proposed architecture addresses the needs of modern healthcare services and offers the potential for further enhancements in the realm of AI-assisted telemedicine.
Keywords
mHealth, Mobile health, Artificial intelligence, Telemedicine, Digital health.
Reference
[1] Karthik Seetharam, Nobuyuki Kagiyama, and Partho P. Sengupta, “Application of Mobile Health, Telemedicine and Artificial Intelligence to Echocardiography,” Echo Research and Practice, vol. 6, no. 2, pp. 41-52, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Akio Sashima, Mitsuru Kawamoto, and Koichi Kurumatani, “A Peer-to-Peer Telecare System Using Smart Watches and Wireless Biosensors,” Health and Technology, vol. 8, pp. 317-382, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Danica Mitch M. Pacis, Edwin D.C. Subido, and Nilo T. Bugtai, “Trends in Telemedicine Utilizing Artificial Intelligence,” AIP Conference Proceedings, pp. 1-10, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Natália Proença et al., “Data Security Strategies in Digital Health Services: A Bibliometric Analysis,” Interdisciplinary Conference on Innovation, Desgin, Entrepreneurship, and Sustainable Systems, pp. 34-43, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Caroline Omoanatse Alenoghena et al., “Ehealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions,” International Journal of Environmental Research and Public Health, vol. 19, no. 20, pp. 1-54, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Bessie Malila, and Tinashe E.M. Mutsvangwa, “Security Architecture for a 5G mHealth System,” Global Health Innovation, vol. 2, no. 1, pp. 1-12, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Jeong Ah Kim, and DongGi Kim, “Component Architecture of mHealth Service Platform,” International Conference on Computational Science and its Applications, pp. 90-96, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Esther Max-Onakpoya, Aggrey Jacobs, and Corey E. Baker, “An Opportunistic mHealth Architecture for Remote Patient Monitoring,” Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications, pp. 1-169, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[9] O.S. Albahri et al., “New mHealth Hospital Selection Framework Supporting Decentralised Telemedicine Architecture for Outpatient Cardiovascular Disease-Based Integrated Techniques: Haversine-GPS and AHP-VIKOR,” Journal of Ambient Intelligence and Humanized Computing, vol. 13, pp. 219-239, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Ivan Volkov, and Gleb Radchenko, “Architecture of mHealth Platform for Storing, Exchanging and Processing of Medical Data in Smart Healthcare,” 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), pp. 117-120, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Wendy Nilsen et al., “Advancing the Science of mHealth,” Journal of Health Communication, vol. 17, no. 1, pp. 5-10, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Maddalena Fiordelli, Nicola Diviani, and Peter J. Schulz, “Mapping mHealth Research: A Decade of Evolution,” Journal of Medical Internet Research, vol. 15, no. 5, pp. 1-14, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Simon P. Rowland et al., “What is the Clinical Value of mHealth for Patients?,” NPJ Digital Medicine, vol. 3, no. 1, pp. 1-6, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Paras Bhatt et al., “Emerging Artificial Intelligence-Empowered mHealth: Scoping Review,” JMIR mHealth and Uhealth, vol. 10, no. 6, pp. 1-14, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Daniele Giansanti, and Lisa Monoscalco, “A Smartphone-Based Survey in mHealth to Investigate the Introduction of the Artificial Intelligence into Cardiology,” mHealth, vol. 7, no. 8, pp. 1-8, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Alejandro Deniz-Garcia et al., “Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges,” Journal of Medical Internet Research, vol. 25, pp. 1-26, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Z. Faizal khan, and Sultan Refa Alotaib, “Applications of Artificial Intelligence and Big Data Analytics in M-Health: A Healthcare System Perspective,” Journal of Healthcare Engineering, vol. 2020, pp. 1-15, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Yue Liao et al., “The Future of Wearable Technologies and Remote Monitoring in Health Care,” American Society of Clinical Oncology Educational Book, vol. 39, pp. 1-7, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Christine E. King, and Majid Sarrafzadeh, “A Survey of Smartwatches in Remote Health Monitoring,” Journal of Healthcare Informatics Research, vol. 2, pp. 1-24, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Siti Muslima W. Udi et al., “Development of Mobile Health Antenatal Care (MHANC) in Improving the Quality of Antenatal Care by Web-Based (Study in Kabupaten Tegal the Area Fourth Health Center),” SSRG International Journal of Nursing and Health Science, vol. 4, no. 3, pp. 16-21, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Kagiso Ndlovu, Maurice Mars, and Richard E. Scott, “Interoperability Frameworks Linking mHealth Applications to Electronic Record Systems,” BMC Health Services Research, vol. 21, no. 1, pp. 1-10, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Oresti Banos et al., “mHealthdroid: A Novel Framework for Agile Development of Mobile Health Applications,” International Workshop on Ambient Assisted Living and Daily Activities, pp. 91-98, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Robert S.H. Istepanian, Swamy Laxminarayan, and Constantinos S. Pattichis, “M-Health: Emerging Mobile Health Systems,” Springer Science and Business Media, pp. 1-623, 2007.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Sarah R. Blenner et al., “Privacy Policies of Android Diabetes Apps and Sharing of Health Information,” JAMA, vol. 315, no.10, pp. 1051-1052, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Daniel S. Ting, “Next Generation Telemedicine Platforms to Screen and Triage,” British Journal of Ophthalmology, vol. 104, no. 3, pp. 299-300, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Judith C. Lin et al., “Telemedicine Platforms and their Use in the Coronavirus Disease-19 Era to Deliver Comprehensive Vascular Care,” Journal of Vascular Surgery, vol. 73, no. 2, pp. 392-398, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[27] R. Srinivasan, “Practo,” Platform Business Models, pp. 131-135, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Indranil Bardhan, Hsinchun Chen, and Elena Karahanna, “Connecting Systems, Data, and People: A Multidisciplinary Research Roadmap for Chronic Disease Management,” MIS Quarterly: Management Information Systems, vol. 44, no. 1, pp. 185-200, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Quynh Pham et al., “A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review,” JMIR mHealth and Uhealth, vol. 7, no. 1, pp. 1-20, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[30] Fredrick Debong, Harald Mayer, and Johanna Kober, “Real-World Assessments of Mysugr Mobile Health App,” Diabetes Technology and Therapeutics, vol. 21, no. 2, pp. 1-6, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Matthew Smuck et al., “The Emerging Clinical Role of Wearables: Factors for Successful Implementation in Healthcare,” NPJ Digital Medicine, vol. 4, pp. 1-8, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[32] Armando Martinez Ruiz, “Validity and Reliability of the Apple Series 6 and 7 Smartwatches and Polar H-10 Monitor on Heart Rate,” The University of Texas at El Paso ProQuest Dissertations Publishing, pp. 1-17, 2022.
[Google Scholar] [Publisher Link]
[33] Grant E. MacKinnon, and Evan L. Brittain, “Mobile Health Technologies in Cardiopulmonary Disease,” Pulmonary and Cardiovascular: CHEST Reviews, vol. 157, no. 3, pp. 654-664, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[34] Thanveer Shaik et al., Remote Patient Monitoring Using Artificial Intelligence: Current State, Applications, and Challenges,” Wires Data Mining and Knowledge Discovery, vol. 13, no. 2, pp. 1-31, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[35] HIPAA Reference Architecture on AWS, Amazon AWS. [Online]. Available: https://aws.amazon.com/solutions/implementations/compliance-hipaa/
[36] Walaa Mohamed, and Mohammad M. Abdellatif, “Telemedicine: An IoT Application for Healthcare Systems,” Proceedings of the 8th International Conference on Software and Information Engineering, pp. 173-177, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[37] Patrick Ware et al., “Outcomes of a Heart Failure Telemonitoring Program Implemented as the Standard of Care in an Outpatient Heart Function Clinic: Pretest-Posttest Pragmatic Study,” Journal of Medical Internet Research, vol. 22, no. 2, pp. 1-14, 2020.
[CrossRef] [Google Scholar] [Publisher Link]