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Hospital Management System Using Low Code Solutions
Dharini P
Diviya Lakshmi V
Kavitha M
Department of Artificial Intelligence
and Data Science
Panimalar Institute of Technology,
Chennai, India
dharini1434@gmail.com
diviyalakshmi010604@gmail.com
kavitha03shree@gmail.com
Babisha A
Assistant Professor
Swagatha J P
Assistant Professor
Suma Christal Mary S
Head of the Department
Department of Information
and Data ScienceTechnology
Panimalar Institute of Technology,
Chennai, India
babisha15@gmail.com
swagathajaisathish@gmail.com
Ithod@pit.ac.in
Abstract ~ Healthcare systems worldwide, including in India, are experiencing an unprecedented surge in demand for medical services, necessitating the adoption of efficient, reliable, and comprehensive record-keeping solutions to ensure seamless hospital operations and high-quality patient care. Traditional hospital management practices heavily rely on manual processes, which are often prone to human error, time-consuming, and inefficient, leading to delays in patient care, increased operational costs, and mismanagement of critical medical records. This study introduces a transformative approach by leveraging low- code technology to develop a robust Hospital Management System (HMS) designed to automate and optimize various hospital operations, including patient registration, medical record storage, doctor and nurse assignments, and billing processes. The proposed system assigns a unique identification number to each patient, facilitating seamless tracking of medical history and treatment records while eliminating redundancies. Its computerized billing system enhances financial transparency and minimizes calculation errors, ensuring smooth and efficient transactions. Furthermore, the system incorporates a dynamic search function that enables hospital staff to instantly check room
availability, locate specific patient or doctor details, and retrieve vital medical information in real time. The implementation of low-code technology ensures rapid deployment, cost- effective development, and seamless scalability, making it adaptable to various healthcare environments. Additionally, the system supports interoperability by integrating with existing healthcare technologies such as Electronic Health Records (EHR) and Laboratory Information Systems (LIS), further improving hospital efficiency and coordination between departments. The adoption of this advanced HMS significantly enhances hospital administration by increasing accuracy, streamlining processes, reducing paperwork, and accelerating data retrieval, ultimately leading to improved patient care and operational excellence. Future enhancements will explore the integration of artificial intelligence (AI) and data analytics to enable predictive healthcare management, advanced patient monitoring, and data-driven decision- making, further revolutionizing the way hospitals function and deliver medical services.
Keywords: Hospital software, low code solution, data management, administration, efficiency.