The Role of AI in Optimizing Healthcare Appointment Scheduling

AI is the most interesting area of healthcare, which is currently making its way into the medical field. Artificial Intelligence has become a game changer, in the healthcare industry bringing forth solutions to problems. A particular area of focus for AI advancements in years has been appointment scheduling with the aim of improving efficiency and accessibility for patients. To overcome these challenges AI technologies have been utilized to develop scheduling systems that utilize data-driven insights and machine learning algorithms. This paper is to investigate appointment scheduling systems in the healthcare sector. The healthcare sector is a major part of the economy. Through surveys, the appointment scheduling system can improve its efficiency. Artificial Intelligence proposes methods for advancing appointment scheduling, which helps control the scheduling window. It can reduce patient no-shows, manage long waitlists, take rapid action over medical urgency, and enhance the department's use of resources for outpatients. Further, the paper examines the problem of appointment management in the healthcare sector considering the various outcoming problems. This paper overlooks the different components of Artificial Intelligence that are applied to the appointment system. We also observe the challenges in the system and the open issues. The objective is to improve the appointment system in the healthcare sector and regulate it with the advancement of Artificial Intelligence.

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Publication Details

Published
2025-03-07
DOI
https://doi.org/10.1109/icdt63985.2025.10986601
Citations
2
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
Field-Weighted Citation Impact
5.03
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article

The Role of AI in Optimizing Healthcare Appointment Scheduling

Atul Agrawal, Sunita Rani, Puneet Garg, M. A. Iqbal et al.
2 citations
Healthcare Operations and Scheduling Optimization
5.03
article

The Role of AI in Optimizing Healthcare Appointment Scheduling

Atul Agrawal, Sunita Rani, Puneet Garg, M. A. Iqbal, Bhupendra Kumar, Reeta Parmer
article en
2 citations

Abstract

AI is the most interesting area of healthcare, which is currently making its way into the medical field. Artificial Intelligence has become a game changer, in the healthcare industry bringing forth solutions to problems. A particular area of focus for AI advancements in years has been appointment scheduling with the aim of improving efficiency and accessibility for patients. To overcome these challenges AI technologies have been utilized to develop scheduling systems that utilize data-driven insights and machine learning algorithms. This paper is to investigate appointment scheduling systems in the healthcare sector. The healthcare sector is a major part of the economy. Through surveys, the appointment scheduling system can improve its efficiency. Artificial Intelligence proposes methods for advancing appointment scheduling, which helps control the scheduling window. It can reduce patient no-shows, manage long waitlists, take rapid action over medical urgency, and enhance the department's use of resources for outpatients. Further, the paper examines the problem of appointment management in the healthcare sector considering the various outcoming problems. This paper overlooks the different components of Artificial Intelligence that are applied to the appointment system. We also observe the challenges in the system and the open issues. The objective is to improve the appointment system in the healthcare sector and regulate it with the advancement of Artificial Intelligence.

Indian Institute of Technology Roorkee (IN), Galgotias University (IN), Quantum University
Openalex Percentile: Top 6%
Healthcare Operations and Scheduling Optimization
5.03
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The Role of AI in Optimizing Healthcare Appointment Scheduling — Atul Agrawal, Sunita Rani, et al. · (2025) | TGRS Research Map | TGRS