International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 2 (March-April 2025) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 2
March-April 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

The Implementation of AI in Clinical Decision Support System: Effects on Patient Outcomes and Operational Costs

Author(s) Kiran Veernapu
Country United States
Abstract The healthcare industry is under increasing pressure to improve patient outcomes while managing rising operational costs. Healthcare professionals need consistent inputs, insights, recommendations, alerts, and data evidence to enhance the quality of care, make clinical decisions, and reduce errors. A Clinical Decision Support System (CDSS) is an interactive software designed to assist healthcare providers in making clinical decisions. Artificial Intelligence (AI) has emerged as a promising tool to improve clinical decision-making, offering the potential to reduce costs, optimize workflows, and improve care delivery. AI technologies, such as machine learning, natural language processing, and predictive analytics, are increasingly being integrated into CDSS, enabling healthcare providers to make more accurate, timely, and evidence-based decisions. This paper explores how the implementation of AI in clinical decision-making affects operational costs and patient outcomes. It examines both the positive impacts and potential challenges of AI integration, focusing on its role in improving clinical efficiency, enhancing diagnostic accuracy, reducing errors, and ultimately transforming healthcare delivery.
Keywords Clinical Decision Support, Systems, Clinical decision-making, AI, ML, CDSS, improve operational cost, reduce diagnostic error, patient outcome, AI in clinical diagnosis, AI in patient care.
Field Engineering
Published In Volume 5, Issue 5, September-October 2023
Published On 2023-09-06
DOI https://doi.org/10.36948/ijfmr.2023.v05i05.37225
Short DOI https://doi.org/g847zx
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 7 Isu 2Cover Page Vol 7 Isu 1Cover Page Vol 6 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com