Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

AI-Driven Doctor Scheduling for Efficient Patient Appointments

View through CrossRef
This paper presents an AI-enhanced doctor appointment system designed to optimize the scheduling of medical appointments. The system is composed of four main modules: patient, hospital administration, doctor, and Admin. Upon logging in, users can input their location and symptoms, enabling the system to suggest nearby hospitals based on distance and ratings. Patients can then choose specialist doctors from comprehensive profiles and reviews. Doctors have the capability to update their availability, while hospital administrators can manage appointments for walk-in patients. The system also includes features for notifications and cancellation alerts to improve the user experience. The primary goal of this system is to enhance patient satisfaction, optimize hospital resource usage, and increase the efficiency of medical services. By integrating AI components, the system aims to refine scheduling processes, reduce congestion, and offer a smooth user experience. It utilizes a machine learning model based on support vector machines (SVM) to predict appointment attendance. In today’s fast-paced environment, reliable healthcare services are essential. This approach attempts to improve the connection between patients and healthcare providers by implementing a practical and user-friendly system. Furthermore, the technology provides medical personnel with a powerful tool for effectively managing their calendars, reducing administrative work and assuring a great patient experience. AI-powered doctor appointment system, medical schedule optimization, patient happiness, hospital administration, doctor availability management, location-based hospital search, special- ized doctor referral, notification system, cancelation alerts, and healthcare efficiency. Index Terms—The Doctor Appointment System leverages AI technology to streamline the process of scheduling medical appointments. This system is structured into four main modules: Patient, Hospital Administration, Doctor, and Admin. Key features include: patient satisfaction, hospital administration, doctor scheduling, location-based hospital search, specialist doctor recommendation, notification system, cancellation alerts, healthcare efficiency.
Title: AI-Driven Doctor Scheduling for Efficient Patient Appointments
Description:
This paper presents an AI-enhanced doctor appointment system designed to optimize the scheduling of medical appointments.
The system is composed of four main modules: patient, hospital administration, doctor, and Admin.
Upon logging in, users can input their location and symptoms, enabling the system to suggest nearby hospitals based on distance and ratings.
Patients can then choose specialist doctors from comprehensive profiles and reviews.
Doctors have the capability to update their availability, while hospital administrators can manage appointments for walk-in patients.
The system also includes features for notifications and cancellation alerts to improve the user experience.
The primary goal of this system is to enhance patient satisfaction, optimize hospital resource usage, and increase the efficiency of medical services.
By integrating AI components, the system aims to refine scheduling processes, reduce congestion, and offer a smooth user experience.
It utilizes a machine learning model based on support vector machines (SVM) to predict appointment attendance.
In today’s fast-paced environment, reliable healthcare services are essential.
This approach attempts to improve the connection between patients and healthcare providers by implementing a practical and user-friendly system.
Furthermore, the technology provides medical personnel with a powerful tool for effectively managing their calendars, reducing administrative work and assuring a great patient experience.
AI-powered doctor appointment system, medical schedule optimization, patient happiness, hospital administration, doctor availability management, location-based hospital search, special- ized doctor referral, notification system, cancelation alerts, and healthcare efficiency.
Index Terms—The Doctor Appointment System leverages AI technology to streamline the process of scheduling medical appointments.
This system is structured into four main modules: Patient, Hospital Administration, Doctor, and Admin.
Key features include: patient satisfaction, hospital administration, doctor scheduling, location-based hospital search, specialist doctor recommendation, notification system, cancellation alerts, healthcare efficiency.

Related Results

Autonomy on Trial
Autonomy on Trial
Photo by CHUTTERSNAP on Unsplash Abstract This paper critically examines how US bioethics and health law conceptualize patient autonomy, contrasting the rights-based, individualist...
Reducing the No Show Rates for Mental Health Appointments among Young Adults
Reducing the No Show Rates for Mental Health Appointments among Young Adults
Practice Problem: Missed patient appointments have become an increasingly significant issue for healthcare organizations, private practices, and clinics. No show appointments can n...
Impact of COVID-19 on the frequency of dental appointments and types of dental health care services
Impact of COVID-19 on the frequency of dental appointments and types of dental health care services
Objectives: To investigate the impact of the COVID-19 pandemic on the frequency of provision of dental appointments and types of dental care services.Methods: The dental records of...
Visual versus Tabular Scheduling Programs
Visual versus Tabular Scheduling Programs
Effective scheduling in construction is crucial for ensuring timely project completion and maintaining budget control. Scheduling programs play an important role in this process by...
Doctor Attributes That Patients Desire during Consultation: The Perspectives of Doctors and Patients in Primary Health Care in Botswana
Doctor Attributes That Patients Desire during Consultation: The Perspectives of Doctors and Patients in Primary Health Care in Botswana
Doctor attributes contribute significantly to the quality of the doctor–patient relationship, consultation, patient satisfaction, and treatment outcomes. However, there is a paucit...
Workflow Scheduling Based on Mobile Cloud Computing Machine Learning
Workflow Scheduling Based on Mobile Cloud Computing Machine Learning
In recent years, cloud workflow task scheduling has always been an important research topic in the business world. Cloud workflow task scheduling means that the workflow tasks subm...
Social Context and Hearing Aid Adoption
Social Context and Hearing Aid Adoption
Hearing rehabilitation tends to focus on the influence of intraindividual factors and concepts such as readiness for change and health beliefs. In contrast, less is known about the...

Back to Top