Conference Paper2024Cited by 6

Development and Evaluation of ShasthoBondhu: mHealth App for Guiding Emergency Remote Healthcare with Wearable IoT and AI Fusion

Farhan Khan, Tanima Ahamed Tulon, Noor Masrur, Md. Jihanul Hasan, Ashraful Islam

IEEE 2024 International Advances in Science & Engineering Technology (ASET) Multi-Conferences

IEEE, pp. 01-10

  • Good Health and Well-being — Relevance: 97%
DOI: 10.1109/aset60340.2024.10708738URL

Abstract

With the increasing prevalence of chronic diseases among the elderly population in Bangladesh, there is a critical need for essential solutions to address remote healthcare challenges. This research explores the integration of mobile health (mHealth) technology with wearable Internet of Things (IoT) devices to enhance remote healthcare services. Through a systematic four-step approach encompassing literature review for problem statement identification, needs assessment through quantitative analysis of research questions (RQs), app design and development utilizing User-Centered Design (UCD) and Rapid Iterative Testing and Evaluation (RITE) method, and usability evaluation through User Experience Questionnaire (UEQ), and mHealth App Usability Questionnaire (MAUQ), ShasthoBondhu, a Flutter-based cross-platform smartphone app, offers features such as automated vital monitoring and alerting, remote accessibility of account, location sharing based on user's vitals, convenient doctor appointments, instant emergency calls and real-time interaction with a virtual medical assistant powered by Large Language Model (LLM) tools. In addition, the app interfaces in bilingual format (Bangla and English) for seamless independent interactions. The assessment results, based on the 8-item UEQ-Sand 6-item MAUQ, showcased remarkable outcomes: UEQ's pragmatic and hedonic qualities surpassed benchmarks with means of 2.35 and 1.80, respectively, while MAUQ achieved an impressive 4.3 out of 5 on the rating scale. Henceforth, ShasthoBondhu charts the path forward, offering a scalable, user-centered solution with the fusion of mHealth technology, wearable IoT gadgets, and AI innovations to transform remote healthcare services in Bangladesh.

Keywords

  • large language models
  • wearable IoT devices
  • mobile health apps
  • remote care
  • User-centered design
  • usability evaluation
  • Bangladesh
  • cross-platform software
  • flutter
  • alerting

CCDS Authors

Ashraful Islam, PhD
Ashraful Islam

Ashraful Islam, PhD

  • Center Director, CCDS
  • Director, HCI Wing

Assistant Professor

Department of Computer Science and Engineering

Independent University, Bangladesh (IUB)

Published at

CHI, UIST, UbiComp, IJCNN, ICIP, HCII, ICDMW, BLP, IEEE Internet of Things Journal, JMIR, JMIR Human Factors, JMIR Formative Research, IEEE Access, Smart Agricultural Technology, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Human-Computer Interaction, AI for Social Good, AI for Public Health, AI for Impact

References

  1. 1.Martin Schrepp, Andreas Hinderks, Jörg Thomaschewski. (2017). Design and Evaluation of a Short Version of the User Experience Questionnaire (UEQ-S). International Journal of Interactive Multimedia and Artificial Intelligence, 4(6), 103–108[10.9781/ijimai.2017.09.001]
  2. 2.Duarte Dias, João Paulo Silva Cunha. (2018). Wearable Health Devices—Vital Sign Monitoring, Systems and Technologies. Sensors, 18(8), 2414[10.3390/s18082414]
  3. 3.Martin Schrepp, Andreas Hinderks, Jörg Thomaschewski. (2017). Construction of a Benchmark for the User Experience Questionnaire (UEQ). International Journal of Interactive Multimedia and Artificial Intelligence, 4(4), 40–44[10.9781/ijimai.2017.445]
  4. 4.Leming Zhou, Jie Bao, I Made Agus Setiawan, Andi Saptono, Bambang Parmanto. (2019). The mHealth App Usability Questionnaire (MAUQ): Development and Validation Study. JMIR mhealth and uhealth, 7(4), e11500[10.2196/11500]
  5. 5.Tinggui Chen, Lijuan Peng, Xiaohua Yin, Jingtao Rong, Jianjun Yang, Guodong Cong. (2020). Analysis of User Satisfaction with Online Education Platforms in China during the COVID-19 Pandemic. Healthcare, 8(3), 200[10.3390/healthcare8030200]
  6. 6.Hanane Allioui, Youssef Mourdi. (2023). Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey. Sensors, 23(19), 8015[10.3390/s23198015]
  7. 7.Wei‐Tsong Wang, Wei-Ming Ou, Wen-Yin Chen. (2018). The impact of inertia and user satisfaction on the continuance intentions to use mobile communication applications: A mobile service quality perspective. International Journal of Information Management, 44, 178–193[10.1016/j.ijinfomgt.2018.10.011]
  8. 8.Shwetank Dattatraya Mamdiwar, R Akshith, Zainab Shakruwala, Utkarsh Chadha, Kathiravan Srinivasan, Chuan‐Yu Chang. (2021). Recent Advances on IoT-Assisted Wearable Sensor Systems for Healthcare Monitoring. Biosensors, 11(10), 372[10.3390/bios11100372]
  9. 9.Nigel Bevan, Jim Carter, Jonathan Earthy, Thomas Geis, Susan Harker. (2016). New ISO Standards for Usability, Usability Reports and Usability Measures. Lecture notes in computer science, 268–278[10.1007/978-3-319-39510-4_25]
  10. 10.Mohit Kumar, Ashwani Kumar, Sahil Verma, Pronaya Bhattacharya, Deepak Ghimire, Seong‐heum Kim, A. S. M. Sanwar Hosen. (2023). Healthcare Internet of Things (H-IoT): Current Trends, Future Prospects, Applications, Challenges, and Security Issues. Electronics, 12(9), 2050[10.3390/electronics12092050]
  11. 11.Mochammad Aldi Kushendriawan, Harry Budi Santoso, Panca O. Hadi Putra, Martin Schrepp. (2021). Evaluating User Experience of a Mobile Health Application ‘Halodoc’ using User Experience Questionnaire and Usability Testing. Jurnal Sistem Informasi, 17(1), 58–71[10.21609/jsi.v17i1.1063]
  12. 12.Bzhar Ghafour Mohammed, Dler Salih Hasan. (2023). Smart Healthcare Monitoring System Using IoT. International Journal of Interactive Mobile Technologies (iJIM), 17(01), 141–152[10.3991/ijim.v17i01.34675]
  13. 13.Minh Pham, Yehenew Mengistu, Ha Manh, Weihua Sheng. (2016). Cloud-Based Smart Home Environment (CoSHE) for home healthcare. , 483–488[10.1109/coase.2016.7743444]
  14. 14.Igor Didier Sabukunze, Alexis Arakaza. (2021). User Experience Analysis on Mobile Application Design Using User Experience Questionnaire. Indonesian Journal of Information Systems, 15–26[10.24002/ijis.v4i1.4646]
  15. 15.Deniz Ekiz, Yekta Said Can, Yagmur Ceren Dardagan, Cem Ersoy. (2020). Can a Smartband be Used for Continuous Implicit Authentication in Real Life. IEEE Access, 8, 59402–59411[10.1109/access.2020.2982852]
  16. 16.Mohammed Al-Khafajiy, Hoshang Kolivand, Thar Baker, David Tully, Atif Waraich. (2019). Smart hospital emergency system. Multimedia Tools and Applications, 78(14), 20087–20111[10.1007/s11042-019-7274-4]
  17. 17.Vaidik Bhatt, Samyadip Chakraborty. (2021). Real-time healthcare monitoring using smart systems: A step towards healthcare service orchestration Smart systems for futuristic healthcare. , 772–777[10.1109/icais50930.2021.9396029]
  18. 18.Jayun Patel, Ragib Hasan. (2018). Smart bracelets: Towards automating personal safety using wearable smart jewelry. , 1–2[10.1109/ccnc.2018.8319327]
  19. 19.Warish Patel, Sharnil Pandya, Baki Koyuncu, Bhupendra Ramani, Sourabh Bhaskar, Hemant Ghayvat. (2018). NXTGeUH: LoRaWAN based NEXT Generation Ubiquitous Healthcare System for Vital Signs Monitoring & Falls Detection. , 1–8[10.1109/punecon.2018.8745431]
  20. 20.Kudrat-E-Khuda Babu. (2021). Artificial Intelligence, Its Applications in Different Sectors and Challenges: Bangladesh Context. Advanced sciences and technologies for security applications, 103–119[10.1007/978-3-030-88040-8_4]
  21. 21.Ali Ibrahim, Onkky Alexander, Ken Ditha Tania, Pacu Putra, Allsela Meiriza. (2023). Assessing User Experience and Usability in the OVO Application: Utilizing the User Experience Questionnaire and System Usability Scale for Evaluation. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 7(4), 953–963[10.29207/resti.v7i4.5137]
  22. 22.I Dewa Gede Hari Wisana, Priyambada Cahya Nugraha, Farid Amrinsani, Fani Ferina Sani, Yusita Indhira Anwar, Satheeshkumar Palanisamy. (2022). Smartband for Heartbeat and Oxygen Saturation Monitoring with Critical Warning to Paramedic via IoT. Jurnal Teknokes, 15(3), 161–166[10.35882/teknokes.v15i3.317]
  23. 23.Nurizal Dwi Priandani, Yohana Avelia Sandy, Nadia Roosmalita Sari. (2023). User Experience Evaluation of Botani Mobile Application using User Experience Questionnaire. Jurnal Teknologi dan Manajemen Informatika, 9(1), 12–19[10.26905/jtmi.v9i1.9025]
  24. 24.Jigar Chauhan, Sachin Bojewar. (2016). Sensor networks based healthcare monitoring system. , 1–6[10.1109/inventive.2016.7824814]
  25. 25.Zhi Li, Lifeng Lian, Junfang Pei, Yuanjun She. (2021). RETRACTED ARTICLE: Design and implementation of wearable medical monitoring system on the internet of things. Journal of Ambient Intelligence and Humanized Computing, 15(S1), 201[10.1007/s12652-021-03257-y]
  26. 26.Novia Nurain, Chia-Fang Chung, Clara Caldeira, Kay Connelly. (2023). A Rapid, Iterative, and Remote (RIR) Method for Designing Translational Tools: Study Experience and Lessons Learned. Designing Interactive Systems Conference, 222–227[10.1145/3563703.3596630]

Cited By

  1. 1.Djallel Eddine Boubiche, Sabrina Boubiche, Abdellah Chehri. (2025). Revolutionizing Patient Care with Medical IoT and Generative AI. IEEE Internet of Things Magazine, 9(1), 80–87[10.1109/miot.2025.3578949]
  2. 2.Hamza Tahir, M. Kemal Özdemir, Reda Alhajj. (2025). The role of LLM-powered chatbots in assisting elderly people: systematic review. Network Modeling Analysis in Health Informatics and Bioinformatics, 15(1)[10.1007/s13721-025-00698-9]
  3. 3.Ali Aboueldahab, Gabriele Damaschi, Marco D'Addario, Patrizia Steca. (2025). Exploring Young Adults' Attitudes Toward AI-Driven mHealth Apps: Qualitative Study. JMIR Human Factors, 12, e76075[10.2196/76075]
  4. 4.Prithvi Raju Mekala, Yonas Kassa, Sushma Mishra. (2026). Integrating LLMs into IoT-Driven Smart Healthcare Systems: A Systematic Literature Review and Future Agenda. IoT, 7(3), 75[10.3390/iot7030075]
  5. 5.Sadia Islam Mumu, Moriom Jerin Shithil, A. B. M. Aowlad Hossain. (2025). AI-Enabled Bilingual Wearable System for Real-Time Remote Health Monitoring. IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), 47–52[10.1109/becithcon69222.2025.11503921]
  6. 6.Ali Aboueldahab, Gabriele Damaschi, Marco D'Addario, Patrizia Steca. (2025). Exploring Young Adults' Attitudes Towards AI-Driven mHealth Apps: A Qualitative Study (Preprint). [10.2196/preprints.76075]
← All publications