International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 10 | Oct 2024
p-ISSN: 2395-0072
www.irjet.net
Optimized Hospital Management System with Analytics: A Survey Pranav Shukla1, Atharva Jadhav2, Sakshi Mahure3, Disha Shete4, and Prof. Pramila M. Chawan5 1B.Tech Student, Dept of Computer Engineering and IT, VJTI College, Mumbai, Maharashtra, India
2B.Tech Student, Dept of Computer Engineering and IT, VJTI College, Mumbai, Maharashtra, India 3B.Tech Student, Dept of Computer Engineering and IT, VJTI College, Mumbai, Maharashtra, India
4B.Tech Student, Dept of Computer Engineering and IT, VJTI College, Mumbai, Maharashtra, India 5Associate Professor, Dept of Computer Engineering, VJTI College, Mumbai, Maharashtra, India
-----------------------------------------------------------------------------***----------------------------------------------------------------------Abstract—Effective hospital management is crucial for B. Challenges pro- viding excellent patient care and maintaining the seamless func- tioning of healthcare facilities. This paper
explores the role of advanced technologies in hospital management systems, focusing on data-driven approaches, machine learning, and analytics. This survey paper reviews existing hospital management systems that incorporate analytics-driven approaches to optimize work- flows, enhance resource utilization, and provide comprehensive insurance assistance for patients. These technologies are critical in optimizing hospital workflows, resource allocation, patient scheduling, and financial management. By leveraging tools such as predictive models, automated systems, hospitals can reduce patient wait times, enhance resource utilization, and streamline administrative processes. The survey highlights various machine learning algorithms & technological solutions implemented to improve healthcare efficiency, showcasing how analytics and machine learning are transforming hospital operations for better patient care and cost management.
Implementing healthcare analytics faces several challenges, including data integration from diverse sources such as EHRs, billing systems, and administrative databases, ensuring data accuracy and consistency. Safeguarding data security is paramount, requiring strong safeguards and adherence to regu- lations such as Health Insurance Portability and Accountability Act. Staff training for effective use of analytics tools is crucial, requiring significant investment in training or hiring skilled personnel. Interoperability issues arise due to differing EHRs and software systems that need to communicate seamlessly. Additionally, resistance to change among hospital staff and clinicians can hinder successful adoption and integration of analytics solutions. C. Applications
Healthcare analytics has various applications in hospital management, including aiding clinical decision-making by analyzing patient data to identify risks and enable early intervention. It also improves operational efficiency by optimizing Keywords: Data Analytics, Machine Learning, Hospital resource allocation, reducing patient wait times, and streamlin- ing workflows. In revenue cycle management, Management, Insurance Assistance, Patient Care analytics helps enhance billing accuracy, reduce claims denials, and optimize pricing. Patient experience is enhanced I. INTRODUCTION through sentiment analysis and feedback data, allowing hospitals to address complaints and improve services. A. History Additionally, analytics sup- ports population health A Management System for Hospital is intended to assist management by identifying high-risk patients, tracking hospitals in handling information concerning all facets of disease prevalence, and designing targeted interventions to healthcare, such as healthcare providers & records of pa- improve community health. tients, ensuring tasks are completed efficiently and II. LITERATURE SURVEY promptly. Considering the numerous aspects and departments within a hospital, the importance of an HMS The efficient management of healthcare facilities is increasbecomes evident. Initially introduced in the 1960s, hospital ingly recognized as a critical component in enhancing the database management sys- tems have significantly evolved quality of patient care and optimizing operational workflows. to integrate seamlessly with current hospital facilities, As healthcare systems face growing challenges, including technologies, software, and systems. Today, patients can rising patient volumes, resource constraints, and the need begin their healthcare journey from the convenience of for improved service delivery, the integration of advanced mobile devices and apps, which then connects them to technologies and data-driven approaches has emerged as a healthcare providers and hospitals for further care. vital solution.
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