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User Register Interface Doctor Appointment Management This interface is for getting Doctor appointment details from the customers. Initially the user is required to
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The hospital's management system includes improved profitability, improved administration, and better patient care. The goal of this study is to create a digital management system that will boost the hospital's effectiveness and systems integration standards. It was able to produce a module that would provide some facilities, like booking doctors,...
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The hospital's information system includes improved profitability, improved administration, and better patient care. The goal of this study is to create a digital management system that will boost the hospital's effectiveness and systems integration standards. It was able to produce a module that would provide some facilities, like booking doctors,...
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... The new system leveraged advanced information technology (IT) [4][5][6][7][8] and the IoT [8][9][10][11] to develop and implement a data-driven dispatch algorithm that optimizes the use of Beacon. This algorithm integrates real-time tracking of patients, staff, and equipment with hospital information systems, empowering dispatchers to make informed decisions, automate processes, optimize resource allocation, and predict potential bottlenecks. ...
Inefficient patient transport in hospitals often leads to delays, overworked staff, and suboptimal resource utilization, ultimately impacting patient care. Existing dispatch management algorithms are often evaluated in simulation environments, raising concerns about their real-world applicability. This study presents a real-world experiment that bridges the gap between theoretical dispatch algorithms and real-world implementation. It applies process capability analysis at Taichung Veterans General Hospital in Taichung, Taiwan, and utilizes IoT for real-time tracking of staff and medical devices to address challenges associated with manual dispatch processes. Experimental data collected from the hospital underwent statistical evaluation between January 2021 and December 2021. The results of our experiment, which compared the use of traditional dispatch methods with the Beacon dispatch method, found that traditional dispatch had an overtime delay of 41.0%; in comparison, the Beacon dispatch method had an overtime delay of 26.5%. These findings demonstrate the transformative potential of this solution for not only hospital operations but also for improving service quality across the healthcare industry in the context of smart hospitals.
... The paper presents [5], HMS website development offers a timely solution to mitigate the challenges posed by the COVID-19 pandemic. Drawing on seminal work by Koyuncu & Koyuncu, Hseih & Chen, and REVA University, this paper integrates perspectives on task processing, database management, and user interface design. ...
Hospital Management Systems (HMS) represent a key advancement in healthcare technology designed to revolutionize operational efficiency, raise standards of patient care and ensure compliance with regulatory protocols. This paper explores the multifaceted functions of HMS, highlighting its role in automating administrative tasks, supporting real-time access to patient data, and facilitating seamless communication between healthcare professionals. Drawing on current research and practical implementations, we delve into the transformative potential of HMS, particularly in the context of recent innovations in telemedicine, data analytics, and remote monitoring systems. In our research, we present SIMRS, a robust hospital management information system developed using the waterfall method, strategically focused on the systematic improvement of hospital operations. By automating key processes such as patient registration, appointment scheduling, payment and inventory management, SIMRS optimizes hospital workflows and ultimately improves patient care delivery. In addition, we examine the empirical evidence that shows the significant impact of management systems and leadership traits on the quality of care in hospital settings, and highlight the indispensable role of effective leadership and management frameworks. Next, we discuss the technical foundations of HMS and highlight the integration of various programming languages and database management systems such as HTML, CSS, JavaScript, PHP, MySQL, and MongoDB. This cross-disciplinary approach underscores the synergy between technological innovation and healthcare management, paving the way for a more efficient patient- centered healthcare ecosystem. In summary, this research illuminates the transformative potential of HMS to revolutionize healthcare operations, improve patient outcomes and optimize resource allocation, advocating for its widespread adoption to shape the future of healthcare delivery. Key Words: JavaScript, MySql, HMS, Electronic Health Records, Telehealth
... Therefore, monitoring the quality of this environmental media against the possibility of contamination by disease agents produced by health service activities in hospitals, should be monitored carefully so that the media is free from contamination. Thus, community groups in hospitals are protected from the possibility of getting disorders or diseases due to the disposal of agents from the community (Adisasmito, 2007). ...
... With good waste management it will also reduce the breeding ground for insects and rats so that the population density of vectors as a chain of disease transmission can be reduced. (Adisasmito, 2007). ...
Hospital Management System (HMS) technology will transform hospital operations. This summary summarizes HMS implementation's main components, goals, advantages, and drawbacks. Patient registration, appointment scheduling, EMR, billing, inventory management, and analytics are integrated into the HMS. Its main goal is to improve hospital efficiency, automate operations, and centralize information management. Implementing an HMS improves patient care by providing rapid access to precise information, operational efficiency, financial procedures, and data accuracy. The challenges include comprehensive staff training, strong data security, and smooth healthcare system connection. Healthcare organizations are developing digitally, making the hospital administration system essential for patient outcomes and hospital administration
Healthcare is conventionally regarded as an important determinant in promoting the general health and wellbeing of peoples around the world. And in doing this, health education and information plays a major role, because it is a reliable medium and the most effective way to reduce morbidity and mortality in developing countries. We need to deliver vital messages and information to people at the lower quarter of the society, this information can be used for changing behaviors’ and practices, and this in turn can save and protect lives. It is in this context that the use of mobile phones in delivering vital health information and effective fieldwork reporting is of significance. This project seeks to use the availability of mobile service across the urban and rural areas to benefit healthcare.KEY WORDS: Health Information System; Mobile Health Information System, Medical Information
The Internet of Medical Things (IoMT) is an extended version of the Internet of Things (IoT). It mainly concentrates on the integration of medical things for servicing needy people who cannot get medical services easily, especially rural area people and aged peoples living alone. The main objective of this work is to design a real time interactive system for providing medical services to the needy who do not have a sufficient medical infrastructure. With the help of this system, people will get medical services at their end with minimal medical infrastructure and less treatment cost. However, the designed system could be upgraded to address the family of SARs viruses, and for experimentation, we have taken COVID-19 as a test case. The proposed system comprises of many modules, such as the user interface, analytics, cloud, etc. The proposed user interface is designed for interactive data collection. At the initial stage, it collects preliminary medical information, such as the pulse oxygen rate and RT-PCR results. With the help of a pulse oximeter, they could get the pulse oxygen level. With the help of swap test kit, they could find COVID-19 positivity. That information is uploaded as preliminary information to the designed proposed system via the designed UI. If the system identifies the COVID positivity, it requests that the person upload X-ray/CT images for ranking the severity of the disease. The system is designed for multi-model data. Hence, it can deal with X-ray, CT images, and textual data (RT-PCR results). Once X-ray/CT images are collected via the designed UI, those images are forwarded to the designed AI module for analytics. The proposed AI system is designed for multi-disease classification. It classifies the patients affected with COVID-19 or pneumonia or any other viral infection. It also measures the intensity level of lung infection for providing suitable treatment to the patients. Numerous deep convolution neural network (DCNN) architectures are available for medical image classification. We used ResNet-50, ResNet-100, ResNet-101, VGG 16, and VGG 19 for better classification. From the experimentation, it observed that ResNet101 and VGG 19 outperform, with an accuracy of 97% for CT images. ResNet101 outperforms with an accuracy of 98% for X-ray images. For obtaining enhanced accuracy, we used a major voting classifier. It combines all the classifiers result and presents the majority voted one. It results in reduced classifier bias. Finally, the proposed system presents an automatic test summary report textually. It can be accessed via user-friendly graphical user interface (GUI). It results in a reduced report generation time and individual bias.
