PalClinc: AI-powered scheduling and consulting Application for Palestine clinics.
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Date
2025
Authors
Osama Mansour
Ahmad Rasheed
Journal Title
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Abstract
In light of the many difficulties facing the health sector in Palestine resulting from several
factors, the most important of which are the ongoing conflict with the Israeli occupation,
the scarcity of infrastructure, and the migration of skilled workers. In this project, we will
shed light on important problems of the health sector in Palestine, which are the lack of a
public system that facilitates scheduling appointments in clinics, the relatively high cost of
medical consultations, there is no personal medical history for citizens they can use in any
health center, there is no personal medical examination history, if you need advice you
have to pay.
PalClinc aims to address the urgent need to improve the accessibility and efficiency of
healthcare in Palestine by employing technology and artificial intelligence to develop a
comprehensive software solution that integrates all private clinics, government clinics,
government hospital clinics, private hospital clinics, and health center clinics into a unified
platform. This system includes users' medical histories and medical examination histories
available for the patients and their therapists. The users can interact with AI medical
consultants to get advice and understand their examination results and medical situations.
Objectives:
1. Create an application that contains all types of clinics.
2. Recording medical records and medical examinations to ensure that there is a
medical file for each user.
3. Incorporate AI consultants to provide free or low-cost medical advice, improving
patient outcomes.
4. Ensure an effective structure for organizing appointments and reviews.
Methodology:
1. Research: identify specific needs of healthcare providers and patients in Palestine.
2. System design: design the architecture of the system, design database, front-end
design, AI model design.
3. Back-end: develop a server-side software that manages all the processes.
4. Front-end: develop a user-friendly user interface to interact with the server side.
5. AI integration: create and train AI algorithms to provide medical consultations.
6. Validation and testing: test the system and validate AI recommendations against
human professionals.