AI-Based Medical Decision Support Systems for Optimized Patient Care

Authors: Ravi Kumar Perumallapalli

Country: USA

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Abstract: Healthcare is undergoing a transformation thanks to artificial intelligence (AI), which is improving patient care decision-making procedures. Through the analysis of intricate medical data and the provision of individualized treatment recommendations, AI-based Medical Decision Support Systems (MDSS) has the potential to enhance patient care. Similar artificial intelligence (AI) models are being applied to the healthcare industry to forecast outcomes, track patient states, and enhance clinical processes. These models are based on ideas from preventative maintenance and optimization in energy-intensive industries.For instance, the ability of AI to customize therapies for adults and children and guarantee effective and individualized care is demonstrated by Bayesian decision support systems such as the one created for warfarin dosage. In a similar vein, multicriteria spatial decision systems powered by AI have been proposed to include social, environmental, and public health data to enhance healthcare decision-making. AI-based MDSS solution has the potential to enhance both individual treatment plans and large-scale healthcare infrastructures. The Indiana Network for Patient Care (INPC), for instance, demonstrates how artificial intelligence (AI) technologies can be included into regional health information networks to enable real-time provider collaboration and patient data interchange. Furthermore, WellDocTM and other mobile AI-based systems have proven effective in treating chronic illnesses, improving clinical outcomes and patient satisfaction. Additionally, AI can be extremely important in operational management, where data-integrated simulation models guarantee balanced workloads and effective healthcare delivery in situations like nurse-patient assignments. In the end, AI-based MDSS offer encouraging developments in healthcare administration and patient care optimization, opening the door for a time when medical decisions will be more individually tailored and data-driven.

Keywords: Artificial Intelligence, Medical Decision Support Systems (MDSS),Machine Learning in Healthcare, Patient Care Optimization, Clinical Decision Support, Multimodal Data Processing, Natural Language Processing, Convolutional Neural Network, Feature Extraction, Predictive Analytics, Healthcare Automation, Real-time Patient Monitoring, Disease Diagnosis Systems.

Paper Id: 231506

Published On: 2015-01-07

Published In: Volume 3, Issue 1, January-February 2015

Cite This: AI-Based Medical Decision Support Systems for Optimized Patient Care - Ravi Kumar Perumallapalli - IJIRMPS Volume 3, Issue 1, January-February 2015.

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