Alternox: Unlocking Affordable Health Solutions
Degree
Master of Science in Computer Science
Department
Department of Computer Science
School
School of Mathematics and Computer Science (SMCS)
Date of Submission
Spring 2024
Supervisor
Dr. Asma Sanam Larik, Visiting Faculty, Department of Computer Science
Keywords
pharmacological similarity, healthcare accessibility, recommendation system, k-nearest neighbor, cosine similarity
Abstract
In recent times, a substantial augmentation in the digitalization of data has been experienced in the pharmaceutical sector, which even though helps achieve improved efficiency by reforming processes, also brings along convoluted challenges of obtaining, analyzing, and employing that knowledge in order to find solutions to intricate business problems. However, despite the evolving terrain of medical technologies, the cost of doctors’ prescribed medicines can pose financial nuisance on individuals – especially those belonging to lower socioeconomic backgrounds. Over the past couple of years, this concern has become largely ostensible, especially in case of medicines produced by certain pharmaceutical companies, where the cost of medicines and other healthcare products are conspicuously higher compared to others.
In order to address the underlying concern of cost differences of vital medicines, a comprehensive web-based application, using AI and ML based smart algorithms as the core mechanism, is implemented as a Proof of Concept (POC), which apprises users regarding the economical and cost-effective substitutes to their prescribed medicines, having similar chemical compositions from affordable brands.
The fundamental objective of this application is to empower its users to make more cognizant choices pertaining to their healthcare by offering them with reasonable alternates for high-priced medicines, thus allowing considerable cost savings and greater accessibility to basic life-saving medications, as well as reduce the burden on the healthcare systems and enhance their sustainability whilst offering them insights into various medicine usage patterns, thus allowing the pertinent authorities to enhance their treatment plans.
Document Type
Restricted Access
Submission Type
Research Project
Recommended Citation
Adnan, Tasneem. "Alternox: Unlocking Affordable Health Solutions." Unpublished graduate research project. Institute of Business Administration. 2024. https://ir.iba.edu.pk/research-projects-mscs/49
The full text of this document is only accessible to authorized users.
