Over the last decade, health information systems (HIS) have undergone significant changes, particularly in embracing flexible frameworks for ongoing development. This evolution underscores the necessity for information technology (IT) infrastructures that rapidly align with clinical processes. The paper investigates the transition of hospital information systems to comprehensive strategies, examining the benefits and challenges involved. It also examines the increasing demands on health data management systems (HDMS) for patient care and biomedical research. The focus is on how the integration of the Internet of Things (IoT) and open-source enterprise resource planning (ERP) systems, such as Odoo, impacts health information management. The study evaluates the effectiveness and implications of combining these technologies. It provides examples of these integrated systems in action, particularly in resource-limited settings, and evaluates their potential to improve care. The document provides a comprehensive review of the current status and evolution of HIS and HDMS, highlighting the importance of integrating IoT and other cutting-edge technologies in healthcare. This is a crucial aspect for developing countries, where these advancements can significantly improve healthcare outcomes.

In recent years, there has been growing interest in leveraging the Internet of Things (IoT) and Artificial Intelligence (AI) technologies for agriculture. A significant challenge for developers in this field is creating applications that provide precise data about plants, facilitating the smart automation of plant management. This paper presents Plantonome, an open-source application developed using the Flutter software development kit (SDK) and the Dart programming language. Designed to integrate with IoT devices, Plantonome quickly and accurately identifies ornamental plant genera or species using the Plant.id API for plant image analysis. The application also utilizes a NoSQL database for storing user data and plant preferences, and it includes a dataset of ornamental plants with details such as name, brightness, temperature, and humidity requirements. The development approach outlined in this paper accelerates the creation process and results in a high-performing application with a flexible user interface and smooth user experience. The application, tested on Android 5.0 (API level 21) or higher, achieved an accuracy of 94.64% for plant identification and received highly positive feedback regarding its functionality, usability, and efficiency. This work offers significant benefits to researchers and startups aiming to develop cross-platform applications that can automate various agricultural tasks, contributing to advancements in smart agriculture.

Nowadays, information represents an important resource for any organization and to ensure its management, it is important to set up an information system. The latter being essential in various fields, it can bring improvements in the care of patients and in the quality of health services. However, the use of information and communication technologies on the quality of health services was exclusive in developed countries. It is with this in mind that we have focused our study on the proposal of architecture to make hospital intelligent based on the Internet of Things (IoT) and the Blockchain. To do this, we used three databases namely Scopus, Web of Science and PubMed. First, we collected references to open-source Hospital Information Systems (OS HIS) and we were able to extract thirteen popular projects of which seven are active and 6 are not. Then, we continued our study with the seven active projects. Second, we collected references to IoT architectures for healthcare and after extensive reading we opted for a three-layer architecture (perception layer, network layer and application layer). Third, we collected references to lightweight blockchains and after in-depth reading of the documents found, we selected the Hyperledger foundation which was created to ensure the promotion of blockchain through an open-source ecosystem. As a result, we were able to come up with a three-layer architecture which is on the concepts of IoT and Blockchain. The proposed work is promising and can be used as a reference for the deployment of a hospital information system in an environment with limited resources.