Integrated Mobile and web-based Application for Enhancing delivery of HIV/AIDS Healthcare Information in Tanzania

This study aims to develop an integrated e-health platform for enhancing delivery of HIV/AIDS healthcare information in Tanzania, which consists of a mobile application and a web-based system. The study is based on the system's functional and non-functional requirements for an e-health system for delivery of HIV/AIDS healthcare information. The Rapid Application Development (RAD) model was adopted during the system development. The system requirements were modelled into Data Flow Diagram (DFD) in order to obtain the clear flow of the HIV/AIDS healthcare information between the clients and HIV/AIDS healthcare practitioners. With the use of different software development tools and environment such as Android studio and Symfony framework; both android application and web-based system were developed. Finally, the developed system was tested for individual module functioning as well as the functioning of the fully integrated system. The user acceptance survey gave the mean score of above 4 on the scale of 5 for each tested aspect of the system. These scores show that the developed system was positively accepted by the users and commended the Ministry of Health and to deploy the system for enhanced delivery of HIV/AIDS healthcare information

Designing a GIS Web Base for Locating Health Care Locations in KSA using Google Earth

This study focuses on the development of a web-based GIS for public healthcare system using GIS web base application choosing Google Earth as a sample . The development of this system is motivated to provide opportunities for the healthcare workers to gain access to vital information that can aid him/her in the location of viable hospitals for the patients to fully enjoy available enhanced  healthcare services. Currently, three major problems still exist in the healthcare geographic applications. This relate to health mapping methods, reusability of health applications, and interoperability issues. To handle these problems, we design a Web based GIS for Public healthcare system to support health data sharing and representation. The developed model makes it possible to locate the nearest hospitals as well as the services they rendered.   With Google Earth, you'll be able to see math concepts in a different light.  They're worth exploring and understanding fully.  In Google Earth you'll be able to interact with the concepts and see how they're evident in real life. These lessons are sure to be more interesting than just another page in a math text. Keywords: Web-based GIS, Public healthcare, Decision Support System. Google Earth ,ArcGS10.3,GP

Ontology Based E-Healthcare Information Retrieval System: A Semantic Approach

With the increase of data in the health care system provides a base for the development of an effective information retrieval system. The implementation of such information retrieval system integrates the heterogeneous information from the healthcare environment. Most of the existing information retrieval systems are syntactic based systems, which will provide inefficient results for the search queries. The objective of this approach is to design a semantic based E-Healthcare information retrieval system. The proposed approach uses an ontology to define the disease-treatment information and will be used for the effective information retrieval. The designated approach is evaluated with a web based tool and the results shows that there is an improvement in the approach

Developing A Modular Web based System for Special Education: Advantages and Challenges

AbstractThe increasing complexity of regulations governing and tracking the special education process made it ever more difficult for all parties which may be special education centers (SECs), individuals, educators, parents, government and healthcare centers. Since there are many difficulties in the management of special education, SECs cannot easily process their essence aim. In this manner, information technologies help these parties to participate equally for managing special education. Modular web based systems are one of the information technology solutions to overcome these problems. In this paper, the goal is to show the fundamental advantages and also discuss the challenges in developing such a modular web based system for special education. If the advantages of the system can be understood and the challenges of the system can be properly addressed, the development of a modular web based system for special education, in our opinion, can be promoted significantly.Selection and peer review under responsibility of Prof. Dr. Hafize Keser

Innovative Business Model for Smart Healthcare Insurance

Information revolution and technology growth have made a considerable contribution to restraining the cost expansion and empowering the customer. They disrupted most business models in different industries. The customer-centric business model has pervaded the different sectors. Smart healthcare has made an enormous shift in patient life and raised their expectations of healthcare services quality. Healthcare insurance is an essential business in the healthcare sector; patients expect a new business model to meet their needs and enhance their wellness. This research develops a holistic smart healthcare architecture based on the recent development of information and communications technology. Then develops a disruptive healthcare insurance business model that adapts to this architecture and classifies the patient according to their technology needs. Finally, and implementing a prototype of a system that matches and suits the healthcare recipient condition to the proper healthcare insurance policy by applying Web Ontology Language (OWL) and rule-based reasoning model using SWRL using Protég

CWDM: A Case-based Diabetes Management Web System

Managing diabetes using intelligent techniques is a recent priority for healthcare information systems and the medical domain. Diabetes is one of the most widespread diseases around the world including Australia. Numerous intelligent systems supporting diabetes management (DM) have been widely deployed, yet how to effectively develop a DM system integrating intelligent techniques remains a big issue. Case-based reasoning (CBR), as an intelligent technique, has been applied in various fields including customer services, medical diagnosis, and clinical treatment. This paper proposes a case-based lifecycle for DM consisting of case-based symptoms, case-based diagnosis, case-based prognosis, case-based treatment, and case-based care. The lifecycle is integrated with a web-based system in which CBR functions as an intelligent intermediary. The approach proposed in this research might facilitate research and development of diabetes management, healthcare information systems and intelligent systems

Website design: Technical, social and medical issues for self-reporting by elderly patients

There is growing interest in the use of the Internet for interacting with patients, both in terms of healthcare information provision and information gathering. In this paper we examine the issues in designing healthcare websites for elderly users. In particular this paper uses a year-long case study of the development of a web-based system for self-reporting of symptoms and quality of life with a view to examine the issues relating to website design for elderly users. The issues identified included the technical, social and medical aspects of website design for elderly users. The web-based system developed was based upon the EQ5D health-status questionnaire, a commonly used tool for patient self-reporting of quality of life, and the more specific CROQ (coronary revascularisation outcome questionnaire) questionnaire. Currently self-reporting is generally administered in the form of paper-based questionnaires to be completed in the out-patient clinic, or at home. There are a variety of issues relating to elderly users that imply that websites for elderly patients may involve different design considerations to other types of websites

Applying e-learning for Multicultural Healthcare Education

In healthcare settings, interactive multimedia education using web technology is very beneficial area of education. With the rapid globalization of healthcare market, multicultural healthcare is one of the major issues that the healthcare industry is facing at this moment. The purpose of this study was to describe a research that the aim is to develop an interactive multimedia education program utilizing web interface to enhance cultural competency of the healthcare professionals. The system is being developed using the following five processes: 1) Analysis stage 2) Designing stage 3) Content framing and development stage 4) Program application stage 5) Evaluation stage. Interactive learning activities consisted of online lecture & interactive case scenario, quiz, video & audio, discussion, individual and team project, and Q&A to facilitate the cognitive and emotional interactive learning of the participants. The completed program was applied to nurses in the community hospitals and interactive web based multimedia education was found to be an effective e-learning media of healthcare professionals in the information age

An Information System Model for Integrating Knowledge of Uganda Herbal Medicine

With health being a priority to all, knowledge on different varieties of herbal medicine is important.  This study examines indigenous herbal medicine in Uganda to facilitate the development of a web-based information system model through which knowledge can shared. The research design involved an experimental approach to design and test the information system model and a descriptive qualitative design to collect qualitative data about herbal medicine and the diseases they cure. The study was conducted in the Buwama sub-county, Mpigi district, Uganda, where traditional medicine is widely used in primary health care. The target population was fifty (50) practicing traditional medicine trainees, and purposive sampling was used to select respondents. Data were collected through semi-structured interviews and reviewed existing documents about different kinds of herbal medicine. An architectural framework for the web-based information system model was designed using entity-relationship diagrams that represent data flows, inputs, and outputs of the system. The findings of this study show that integration of traditional medicine into modern healthcare systems in Uganda is possible and is appreciated by most health care practitioner. The developed information system model can contribute to improving the accessibility and use of indigenous herbal medicine, promoting their recognition and validation, and ensuring their safe and effective use. The study findings show that a web-based information system model is a promising approach to support the documentation, sharing, and management of indigenous herbal medicine in Uganda. Keywords: Herbal Medicine, System Model, Traditional Medicine, Indigenous Medicine, Web-Based System DOI: 10.7176/JHMN/108-02 Publication date:May 31st 202

Machine Learning-based Early Detection and Prognosis of the Covid-19 Pandemic

The outbreak of Covid-19 has caused a global health crisis, presenting numerous challenges to the healthcare system with its severe respiratory symptoms and variable presentation. Early and accurate diagnosis of the virus is critical in controlling its spread and reducing the burden on healthcare facilities. To address this issue and relieve the strain on the healthcare system, this paper proposes a machine learning-based approach for Covid-19 diagnosis. Four algorithms were used for analyzing early Covid-19 detection, i.e., logistic regression, random forest, decision tree, and naive Bayes, using a data set of basic symptoms such as fever, shortness of breath, etc. for predicting positive and negative Covid-19 cases. Furthermore, development of a web portal that provides information on global vaccine distribution and the most widely used vaccines by country along with Covid-19 predictions. Our evaluation results demonstrate that the decision tree model outperformed the other models, achieving an accuracy of 97.69%. This study provides a practical solution to the ongoing Covid-19 crisis through an improved diagnosis method and access to vaccination information