Large Language Model-based Mobile Apps in OPDs: Optimized Patient Management and Prioritization

Long waiting times, inefficient processes, and a lack of personalized care often characterize the traditional OPD system. Mobile applications can enhance the efficiency and effectiveness of Outpatient Primary Care (OPC) services by offering features like appointment scheduling, real-time updates, and digital triage systems, reducing waiting times, optimizing resources, and delivering personalized care. By embracing these innovations, healthcare providers can meet the evolving demands of patients and deliver high-quality care that aligns with modern expectations.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/idicaiei61867.2024.10842782
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
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Large Language Model-based Mobile Apps in OPDs: Optimized Patient Management and Prioritization

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Large Language Model-based Mobile Apps in OPDs: Optimized Patient Management and Prioritization

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article en

Abstract

Long waiting times, inefficient processes, and a lack of personalized care often characterize the traditional OPD system. Mobile applications can enhance the efficiency and effectiveness of Outpatient Primary Care (OPC) services by offering features like appointment scheduling, real-time updates, and digital triage systems, reducing waiting times, optimizing resources, and delivering personalized care. By embracing these innovations, healthcare providers can meet the evolving demands of patients and deliver high-quality care that aligns with modern expectations.

Prin. L. N. Welingkar Institute of Management Development and Research (IN), Datta Meghe Institute of Higher Education and Research (IN)
Openalex Percentile: Top 69%
Scientific Computing and Data Management
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