An LSTM Neural Network Approach to Resource Allocation in Hospital Management Systems
Ashish K Saxena
https://orcid.org/0009-0002-1647-9266
Rohit R. Dixit
Siemens Healthineers; University of Texas at Tyler Tyler, United States
https://orcid.org/0000-0002-9888-6633
Attia Aman-Ullah
PhD, School of Business Management, Universiti Utara Malaysia, Sintok, Malaysia
Keywords: LSTM (Long Short-Term Memory) Neural Network, Resource Allocation, Hospital Management Systems (HMS), Predictive Analytics, Healthcare Optimization
Abstract
Hospital Management Systems (HMS) are essential for the coordination of clinical, operational, and administrative operations in healthcare settings. Central to these systems is resource allocation for operating efficiency and providing high-quality patient care. This research presents an innovative approach using a Long Short-Term Memory (LSTM) neural network to optimize resource allocation within HMS. The deep learning-based LSTM model analyzes historical and real-time data, learning from temporal patterns to predict resource requirements with high accuracy. The study evaluates the LSTM model's performance in comparison to actual data across various resource allocation scenarios, demonstrating the model's robust predictive capability and its potential as a decision-support tool. This model's integration with HMS is an initial move toward the delivery of healthcare services that are more flexible, effective, and patient-focused. This paper discusses the methodology, results, and significant implications of using LSTM networks in hospital management, advocating for their role in the future of healthcare systems. The proposed LSTM model can be applied in healthcare administration for aiming to minimize patient wait times, optimize staff allocation, and enhance patient outcomes.
Author Biographies
Ashish K Saxena
Ashish K Saxena
https://orcid.org/0009-0002-1647-9266
Rohit R. Dixit, Siemens Healthineers; University of Texas at Tyler Tyler, United States
Rohit R. Dixit
Siemens Healthineers
University of Texas at Tyler Tyler, United States
https://orcid.org/0000-0002-9888-6633
