HealthNode: Software Framework for Efficiently Designing and Developing Cloud-Based Healthcare Applications

Ho Kyeong Ra, Hee Jung Yoon, Sang Hyuk Son, John A. Stankovic, Jeonggil Ko

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


With the exponential improvement of software technology during the past decade, many efforts have been made to design remote and personalized healthcare applications. Many of these applications are built on mobile devices connected to the cloud. Although appealing, however, prototyping and validating the feasibility of an application-level idea is yet challenging without a solid understanding of the cloud, mobile, and the interconnectivity infrastructure. In this paper, we provide a solution to this by proposing a framework called HealthNode, which is a general-purpose framework for developing healthcare applications on cloud platforms using Node.js. To fully exploit the potential of Node.js when developing cloud applications, we focus on the fact that the implementation process should be eased. HealthNode presents an explicit guideline while supporting necessary features to achieve quick and expandable cloud-based healthcare applications. A case study applying HealthNode to various real-world health applications suggests that HealthNode can express architectural structure effectively within an implementation and that the proposed platform can support system understanding and software evolution.

Original languageEnglish
Article number6071580
JournalMobile Information Systems
Publication statusPublished - 2018

Bibliographical note

Funding Information:
*is work was supported in part by the DGIST R&D Program of the Ministry of Science, ICTand Future Planning (18-EE-01), the Global Research Laboratory Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (NRF-2013K1A1A2A02078326), the DGIST Research and Development Program (CPS Global Center) for the project “Identifying Unmet Requirements for Future Wearable Devices in Designing Autonomous Clinical Event Detection Applications”, and the Ministry of Trade, Industry and Energy and the KIAT through the International Cooperative R&D Program (no. N0002099; Eurostars-2 Project SecureIoT).

Publisher Copyright:
© 2018 Ho-Kyeong Ra et al.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications


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