igia: An Open-source Platform to Accelerate Innovation in Health Information Technology (Preprint)

2021 ◽  
Author(s):  
William Gordon ◽  
Neelima Karipineni ◽  
Layne Ainsworth ◽  
Nikhil Bapat ◽  
Rupendra Chulyadyo ◽  
...  

BACKGROUND While usage of EHRs has substantially increased over the past decade, building clinical applications remains challenging for multiple reasons, including security and privacy considerations, data integration, application distribution, and application deployment. OBJECTIVE We discuss the importance of platforms for health IT development, and specifically describe “igia,” an open-source collection of software packages that enable developers to build and deploy applications more efficiently. METHODS igia is an open-source collection of software packages and repositories that allow a healthcare application developer to develop and deploy EHR-linked applications more efficiently. RESULTS igia was built with several principles: first, it is open-source. Second, igia leverages best-practice solutions wherever possible. Third, it is designed to be used in operational, “clinically-ready” settings. Fourth, igia focuses on reusability and platform-level functionality, so that developers can focus on application development. Finally, igia leverages existing standards, to emphasize interoperability and health IT ecosystem integration. Features include a microservices architecture, SMART on FHIR, data integration, and care management modules. CONCLUSIONS Platforms could improve the efficiency of health IT software development. We describe “igia,” an open-source platform for building clinical applications. We hope that such a platform will reduce barriers to developing clinical applications by providing “out of the box” functionality for many common healthcare IT tasks. igia is released under an MPL v2.0 with code and documentation freely available on GitHub.

2018 ◽  
Vol 10 (11) ◽  
pp. 105 ◽  
Author(s):  
YangQun Li

The Internet of Things (IoT) is increasingly part of daily life. However, the development of IoT applications still faces many problems, such as heterogeneity, complex management, and other difficulties. In this paper, first, the open source technologies of IoT are surveyed. We compare these technologies from the point of view of different levels of technical requirements, such as device management, data management, communication, intelligent data processing, security and privacy protection; we also look at requirements of application development and deployment. Second, an IoT integrated development platform architecture for IoT applications based on open source ecosystem is proposed and evaluated in an industrial setting. We applied P2P technology to distributed resource management and blockchain-based smart contract mechanics for resource billing management. The results show that the IoT gateway based on an open source ecosystem had a stable and reliable system performance with a certain data size and concurrency scale. These conditions satisfy the application requirements of the IoT in most sensing environments.


2021 ◽  
Vol 11 (6) ◽  
pp. 2850
Author(s):  
Dalibor Dobrilovic ◽  
Vladimir Brtka ◽  
Zeljko Stojanov ◽  
Gordana Jotanovic ◽  
Dragan Perakovic ◽  
...  

The growing application of smart manufacturing systems and the expansion of the Industry 4.0 model have created a need for new teaching platforms for education, rapid application development, and testing. This research addresses this need with a proposal for a model of working environment monitoring in smart manufacturing, based on emerging wireless sensor technologies and the message queuing telemetry transport (MQTT) protocol. In accordance with the proposed model, a testing platform was developed. The testing platform was built on open-source hardware and software components. The testing platform was used for the validation of the model within the presented experimental environment. The results showed that the proposed model could be developed by mainly using open-source components, which can then be used to simulate different scenarios, applications, and target systems. Furthermore, the presented stable and functional platform proved to be applicable in the process of rapid prototyping, and software development for the targeted systems, as well as for student teaching as part of the engineering education process.


Author(s):  
Yanish Pradhananga ◽  
Pothuraju Rajarajeswari

The evolution of Internet of Things (IoT) brought about several challenges for the existing Hardware, Network and Application development. Some of these are handling real-time streaming and batch bigdata, real- time event handling, dynamic cluster resource allocation for computation, Wired and Wireless Network of Things etc. In order to combat these technicalities, many new technologies and strategies are being developed. Tiarrah Computing comes up with integration the concept of Cloud Computing, Fog Computing and Edge Computing. The main objectives of Tiarrah Computing are to decouple application deployment and achieve High Performance, Flexible Application Development, High Availability, Ease of Development, Ease of Maintenances etc. Tiarrah Computing focus on using the existing opensource technologies to overcome the challenges that evolve along with IoT. This paper gives you overview of the technologies and design your application as well as elaborate how to overcome most of existing challenge.


2018 ◽  
Author(s):  
Larysse Silva ◽  
José Alex Lima ◽  
Nélio Cacho ◽  
Eiji Adachi ◽  
Frederico Lopes ◽  
...  

A notable characteristic of smart cities is the increase in the amount of available data generated by several devices and computational systems, thus augmenting the challenges related to the development of software that involves the integration of larges volumes of data. In this context, this paper presents a literature review aimed to identify the main strategies used in the development of solutions for data integration, relationship, and representation in smart cities. This study systematically selected and analyzed eleven studies published from 2015 to 2017. The achieved results reveal gaps regarding solutions for the continuous integration of heterogeneous data sources towards supporting application development and decision-making.


2010 ◽  
Vol 29 (1) ◽  
pp. 19-23 ◽  
Author(s):  
Yu Hu ◽  
A. Stoelting ◽  
Yi-Tao Wang ◽  
Yi Zou ◽  
M. Sarrafzadeh

2002 ◽  
Vol 21 (5) ◽  
pp. 461-471 ◽  
Author(s):  
Marit Hansen ◽  
Kristian Köhntopp ◽  
Andreas Pfitzmann

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