dc.contributor.author	Osama Mansour
dc.contributor.author	Ahmad Rasheed
dc.date.accessioned	2025-12-31T10:27:08Z
dc.date.available	2025-12-31T10:27:08Z
dc.date.issued	2025
dc.description.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.
dc.identifier.uri	https://hdl.handle.net/20.500.11888/20724
dc.supervisor	Dr. Khalid Dawod
dc.title	PalClinc: AI-powered scheduling and consulting Application for Palestine clinics.

PalClinc: AI-powered scheduling and consulting Application for Palestine clinics.

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