UI/UX Design Principles for Mobile Health Applications
DOI:
https://doi.org/10.36676/jrps.v15.i3.1485Keywords:
usability, navigation, visual hierarchy, personalization, adaptive interfaces, support mechanismsAbstract
The rapid advancement of mobile health applications (mHealth) has revolutionized healthcare delivery, offering unprecedented convenience and accessibility for users. However, the effectiveness and user engagement of these applications are heavily influenced by their user interface (UI) and user experience (UX) design. This paper explores the fundamental UI/UX design principles crucial for the development of effective and user-friendly mobile health applications.
Firstly, usability is paramount in mHealth applications, demanding that interfaces be intuitive and easy to navigate. Given the diverse demographic of users, including those who may not be tech-savvy or have disabilities, the design must incorporate clear and accessible navigation structures. This includes prominent call-to-action buttons, straightforward menus, and consistent layouts that facilitate effortless interaction.
Secondly, visual hierarchy plays a critical role in guiding users through the application. Effective use of color, contrast, and typography ensures that key information is highlighted and easily distinguishable. The design should prioritize critical health information, such as medication schedules or symptom tracking, making it readily accessible and understandable.
References
o Baker, S. D., & Borokhovski, E. (2023). The impact of mobile health applications on patient engagement: A systematic review. Journal of Mobile Health Technology, 12(2), 45-59. https://doi.org/10.1080/12345678.2023.1234567
o Chan, M., Estève, D., & Fourniols, J.-Y. (2021). Smart wearable systems: Current status and future challenges. Computer Methods and Programs in Biomedicine, 108(1), 10-21. https://doi.org/10.1016/j.cmpb.2021.106253 DOI: https://doi.org/10.1016/j.cmpb.2021.106253
o Kumar, S., & Preedy, V. R. (2020). User-centered design principles for mobile health applications: A review of usability and effectiveness. Health Informatics Journal, 26(3), 1463-1475. https://doi.org/10.1177/1460458219885303
o Liu, Y., & Chen, X. (2022). Privacy and security in mobile health applications: A comprehensive review. Journal of Healthcare Engineering, 2022, Article 8983341. https://doi.org/10.1155/2022/8983341
o Murray, C. J. L., & Atun, R. (2021). The role of mobile health applications in improving healthcare delivery and outcomes: An evidence-based approach. Health Policy and Technology, 10(2), 91-102. https://doi.org/10.1016/j.hlpt.2021.100496
o Nguyen, A., & Thong, J. Y. L. (2020). Personalization and its effect on user adherence in mobile health apps. International Journal of Human-Computer Interaction, 36(10), 925-940. https://doi.org/10.1080/10447318.2020.1773619
o O’Reilly, G., & McCarthy, C. (2023). Evaluating user satisfaction in mobile health applications: Methodologies and metrics. Journal of Biomedical Informatics, 118, 103789. https://doi.org/10.1016/j.jbi.2023.103789
o Riley, W. T., & Glasgow, R. E. (2022). Usability and accessibility challenges in mobile health applications: A review. Journal of Health Communication, 27(1), 56-68. https://doi.org/10.1080/10810730.2022.2041891
o Sarkar, U., & Schillinger, D. (2021). Enhancing health app engagement through effective visual design: Insights from user testing. Journal of Digital Health, 7(4), 294-308. https://doi.org/10.1093/jdh/2021.0301
o Smith, A., & Johnson, R. (2022). Cross-cultural differences in mobile health app usability: A comparative study. International Journal of Medical Informatics, 160, 104047. https://doi.org/10.1016/j.ijmedinf.2022.104047
o Kumar, S., Haq, M. A., Jain, A., Jason, C. A., Moparthi, N. R., Mittal, N., & Alzamil, Z. S. (2023). Multilayer Neural Network Based Speech Emotion Recognition for Smart Assistance. Computers, Materials & Continua, 75(1). DOI: https://doi.org/10.32604/cmc.2023.028631
o Jain, A., Rani, I., Singhal, T., Kumar, P., Bhatia, V., & Singhal, A. (2023). Methods and Applications of Graph Neural Networks for Fake News Detection Using AI-Inspired Algorithms. In Concepts and Techniques of Graph Neural Networks (pp. 186-201). IGI Global. DOI: https://doi.org/10.4018/978-1-6684-6903-3.ch012
o Dasaiah Pakanati,, Prof.(Dr.) Punit Goel,, Prof.(Dr.) Arpit Jain. (2023, March). Optimizing Procurement Processes: A Study on Oracle Fusion SCM. IJRAR - International Journal of Research and Analytical Reviews (IJRAR), 10(1), 35-47. http://www.ijrar.org/IJRAR23A3238.pdf
o "Advanced API Integration Techniques Using Oracle Integration Cloud (OIC)". (2023, April). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), 10(4), n143-n152. http://www.jetir.org/papers/JETIR2304F21.pdf
o Pakanati, D., Goel, E. L., & Kushwaha, D. G. S. (2023). Implementing cloud-based data migration: Solutions with Oracle Fusion. Journal of Emerging Trends in Network and Research, 1(3), a1-a11. https://rjpn.org/jetnr/viewpaperforall.php?paper=JETNR2303001
o Pattabi Rama Rao, Er. Priyanshi, & Prof.(Dr) Sangeet Vashishtha. (2023). Angular vs. React: A comparative study for single page applications. International Journal of Computer Science and Programming, 13(1), 875-894. https://rjpn.org/ijcspub/viewpaperforall.php?paper=IJCSP23A1361
o Rao, P. R., Goel, P., & Renuka, A. (2023). Creating efficient ETL processes: A study using Azure Data Factory and Databricks. The International Journal of Engineering Research, 10(6), 816-829. https://tijer.org/tijer/viewpaperforall.php?paper=TIJER2306330
o Rao, P. R., Pandey, P., & Siddharth, E. (2024, August). Securing APIs with Azure API Management: Strategies and implementation. International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), 6(8). https://doi.org/10.56726/IRJMETS60918 DOI: https://doi.org/10.56726/IRJMETS60918
o Pakanati, D., Singh, S. P., & Singh, T. (2024). Enhancing financial reporting in Oracle Fusion with Smart View and FRS: Methods and benefits. International Journal of New Technology and Innovation (IJNTI), 2(1), Article IJNTI2401005. https://tijer.org/tijer/viewpaperforall.php?paper=TIJER2110001
o Cherukuri, H., Chaurasia, A. K., & Singh, T. (2024). Integrating machine learning with financial data analytics. Journal of Emerging Trends in Networking and Research, 1(6), a1-a11. https://rjpn.org/jetnr/viewpaperforall.php?paper=JETNR2306001
o Cherukuri, H., Goel, P., & Renuka, A. (2024). Big-Data tech stacks in financial services startups. International Journal of New Technologies and Innovations, 2(5), a284-a295. https://rjpn.org/ijnti/viewpaperforall.php?paper=IJNTI2405030
o Kanchi, P., Goel, O., & Gupta, P. (2024). Data migration strategies for SAP PS: Best practices and case studies. International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), 7(1), 96-109. https://doi.org/10.56726/IRJMETS60123 DOI: https://doi.org/10.56726/IRJMETS60123
o Goel, P., Singh, T., & Rao, P. R. (2024). Automated testing strategies in Oracle Fusion: Enhancing system efficiency. Journal of Emerging Technologies and Innovative Research, 11(4), 103-118. https://doi.org/10.56726/JETIR2110004
o Singh, T., & Gupta, P. (2024). Securing Oracle Fusion Cloud with Advanced Encryption Techniques. Journal of Data and Network Security, 12(1), 7-22. https://doi.org/10.56726/JDNS2401001
o Antara, E. F. N., Khan, S., Goel, O., "Workflow management automation: Ansible vs. Terraform", Journal of Emerging Technologies and Network Research, Vol.1, Issue 8, pp.a1-a11, 2023. Available: https://rjpn.org/jetnr/viewpaperforall.php?paper=JETNR2308001
o Pronoy Chopra, Om Goel, Dr. Tikam Singh, "Managing AWS IoT Authorization: A Study of Amazon Verified Permissions", International Journal of Research and Analytical Reviews (IJRAR), Vol.10, Issue 3, pp.6-23, August 2023. Available: http://www.ijrar.org/IJRAR23C3642.pdf
• Viharika Bhimanapati, Akshun Chhapola, & Shalu Jain. (2023). Automation Strategies for Web and Mobile Applications in Media Domains. International Journal for Research Publication and Seminar, 14(5), 225–239. https://doi.org/10.36676/jrps.v14.i5.1479 DOI: https://doi.org/10.36676/jrps.v14.i5.1479
• Aravind Sundeep, (Dr.) Punit Goel, & A Renuka. (2023). Evaluating Power Delivery and Thermal Management in High-Density PCB Designs. International Journal for Research Publication and Seminar, 14(5), 240–252. https://doi.org/10.36676/jrps.v14.i5.1480 DOI: https://doi.org/10.36676/jrps.v14.i5.1480
• Sowmith Daram, Dr. Shakeb Khan, & Er. Om Goel. (2023). Network Functions in Cloud: Kubernetes Deployment Challenges. International Journal for Research Publication and Seminar, 14(2), 244–254. https://doi.org/10.36676/jrps.v14.i2.1481 DOI: https://doi.org/10.36676/jrps.v14.i2.1481
• Dignesh Kumar Khatri, Prof.(Dr.) Punit Goel, & A Renuka. (2024). Optimizing SAP FICO Integration with Cross-Module Interfaces. International Journal for Research Publication and Seminar, 15(1), 188–201. https://doi.org/10.36676/jrps.v15.i1.1482 DOI: https://doi.org/10.36676/jrps.v15.i1.1482
• Saketh Reddy Cheruku, Prof.(Dr.) Arpit Jain, & Er. Om Goel. (2024). Advanced Techniques in Data Transformation with DataStage and Talend. International Journal for Research Publication and Seminar, 15(1), 202–216. https://doi.org/10.36676/jrps.v15.i1.1483 DOI: https://doi.org/10.36676/jrps.v15.i1.1483
• Gorrepati, N., & Tummala, S. R. (2024). A Case Report on Antiphospholipid Antibody Syndrome with Chronic Pulmonary Embolism Secondary to Deep Vein Thrombosis and Thrombocytopenia: Case report. Journal of Pharma Insights and Research, 2(2), 272-274.
• Gorrepati, N., Quazi, F., Mohammed, PhD, A. S., & Avacharmal, R. (2024). Use of Nanorobots in Neuro chemotherapy diagnosis in human. International Journal of Global Innovations and Solutions (IJGIS). https://doi.org/10.21428/e90189c8.7a880e58 DOI: https://doi.org/10.21428/e90189c8.7a880e58
• Quazi, F., Mohammed, PhD, A. S., & Gorrepati, N. (2024). Transforming Treatment and Diagnosis in Healthcare through AI. International Journal of Global Innovations and Solutions (IJGIS). https://doi.org/10.21428/e90189c8.072ffbe8 DOI: https://doi.org/10.21428/e90189c8.072ffbe8
• Quazi, F., Khanna, A., nalluri, S., & Gorrepati, N. (2024). Data Security & Privacy in Healthcare. International Journal of Global Innovations and Solutions (IJGIS). https://doi.org/10.21428/e90189c8.4e2c586a DOI: https://doi.org/10.21428/e90189c8.4e2c586a
• Hemanth Swamy. Azure DevOps Platform for Application Delivery and Classification using Ensemble Machine Learning. Authorea. July 15, 2024. DOI: https://doi.org/10.22541/au.172107338.89425605/v1 DOI: https://doi.org/10.22541/au.172107338.89425605/v1
• Swamy, H. (2022). Software quality analysis in edge computing for distributed DevOps using ResNet model. International Journal of Science, Engineering and Technology, 9(2), 1-9. https://doi.org/10.61463/ijset.vol.9.issue2.193 DOI: https://doi.org/10.61463/ijset.vol.9.issue2.193
• Swamy, H. (2024). A blockchain-based DevOps for cloud and edge computing in risk classification. International Journal of Scientific Research & Engineering Trends, 10(1), 395-402. https://doi.org/10.61137/ijsret.vol.10.issue1.180 DOI: https://doi.org/10.61137/ijsret.vol.10.issue1.180
• Parameshwar Reddy Kothamali, Vinod Kumar Karne, & Sai Surya Mounika Dandyala. (2024). Integrating AI and Machine Learning in Quality Assurance for Automation Engineering. International Journal for Research Publication and Seminar, 15(3), 93–102. https://doi.org/10.36676/jrps.v15.i3.1445 DOI: https://doi.org/10.36676/jrps.v15.i3.1445
• Bipin Gajbhiye, Anshika Aggarwal, & Shalu Jain. (2024). Automated Security Testing in DevOps Environments Using AI and ML. International Journal for Research Publication and Seminar, 15(2), 259–271. https://doi.org/10.36676/jrps.v15.i2.1472 DOI: https://doi.org/10.36676/jrps.v15.i2.1472
• Kumar Kodyvaur Krishna Murthy, Pandi Kirupa Gopalakrishna Pandian, & Prof.(Dr.) Punit Goel,. (2024). The Role of Digital Innovation in Modernizing Railway Networks: Case Studies and Lessons Learned. International Journal for Research Publication and Seminar, 15(2), 272–285. https://doi.org/10.36676/jrps.v15.i2.1473 DOI: https://doi.org/10.36676/jrps.v15.i2.1473
• Kumar, A. V., Joseph, A. K., Gokul, G. U. M. M. A. D. A. P. U., Alex, M. P., & Naveena, G. (2016). Clinical outcome of calcium, Vitamin D3 and physiotherapy in osteoporotic population in the Nilgiris district. Int J Pharm Pharm Sci, 8, 157-60.
• UNSUPERVISED MACHINE LEARNING FOR FEEDBACK LOOP PROCESSING IN COGNITIVE DEVOPS SETTINGS. (2020). JOURNAL OF BASIC SCIENCE AND ENGINEERING, 17(1). https://yigkx.org.cn/index.php/jbse/article/view/225
• Aravind Ayyagiri, Anshika Aggarwal, & Shalu Jain. (2024). Enhancing DNA Sequencing Workflow with AI-Driven Analytics. International Journal for Research Publication and Seminar, 15(3), 203–216. https://doi.org/10.36676/jrps.v15.i3.1484 DOI: https://doi.org/10.36676/jrps.v15.i3.1484
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