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dc.contributor.author | Amina Abid, 01-134201-011 | |
dc.contributor.author | Syed Muhammad Hamza Ali, 01-134201-086 | |
dc.date.accessioned | 2024-02-20T07:25:06Z | |
dc.date.available | 2024-02-20T07:25:06Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | http://hdl.handle.net/123456789/16954 | |
dc.description | Supervised by Dr. Muhammad Asfand-e-Yar | en_US |
dc.description.abstract | In today’s fast-paced medical landscape, the demand for enhanced medical knowledge and rapid access to expert medical guidance is more critical than ever. Clinical physicians frequently encounter patients in need of accurate diagnoses and well-informed treatment decisions. To address this pressing need, we introduce the concept of the Virtual Health Assistant for Clinical Professionals, an innovative initiative aimed at revolutionizing patient care by leveraging cutting-edge technology. The Virtual Health Assistant for Clinical Professionals is designed to offer a user-friendly platform that allows clinicians to input patient symptoms and receive precise medical advice through the utilization of artificial intelligence and machine learning. The key problem this initiative seeks to resolve is the challenge of swiftly and accurately diagnosing patients, offering timely medical guidance, and effectively managing electronic patient records. Clinical physicians often grapple with understanding symptoms, leading to delays in patient care. Additionally, the use of paper-based medical records can be time-consuming and prone to inaccuracies, potentially causing prolonged suffering for patients and creating ambiguity in treatment decisions. The Virtual Health Assistant project aims to bridge these gaps by providing timely support for precise patient diagnosis and treatment recommendations. The primary objectives of this initiative include the development of a user-friendly platform that enables accurate disease identification, personalized medical advice, medication recommendations, and robust patient record management. By integrating advanced systems for symptom analysis and medical history evaluation, clinical professionals can make well-informed decisions regarding patient care. The project’s initial focus is on a web-based platform, with future considerations for a mobile app version to enhance accessibility for clinicians on-the-go. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Computer Sciences | en_US |
dc.relation.ispartofseries | BS(CS);P-02098 | |
dc.subject | Virtual | en_US |
dc.subject | Health | en_US |
dc.subject | Assistant | en_US |
dc.title | Virtual Health Assistant | en_US |
dc.type | Project Reports | en_US |