AI-Driven Disease Monitoring and Prediction System

Gold Sentinel is seeking to develop an AI-based system to enhance the monitoring and prediction of diseases. The goal is to leverage artificial intelligence to analyze health data and identify patterns that could indicate the onset or spread of diseases. This project aims to create a prototype that can process data from various sources to provide timely insights. The system should be able to predict potential disease outbreaks and suggest preventive measures. By applying classroom knowledge of AI and data analysis, learners will contribute to a project that has the potential to improve public health outcomes. The project will focus on creating a user-friendly interface and ensuring data privacy and security.

Enhancing Public Health through AI-Driven Point-of-Care Testing management solution in community care

Project Overview: This project will allow students to contribute to the development and adoption of a SaaS platform designed to integrate Point Of Care Testing management/data collection in community settings. The platform aims to centralize patient results, streamline workflows for healthcare professionals, and support public health initiatives through AI-driven data insights. Students will explore the impact of the platform on healthcare providers, patients, and policymakers by conducting research, analyzing data, and providing recommendations to enhance adoption and effectiveness. Project Goals: 1. Assess Market Fit & Adoption Rates: • Conduct research on the adoption of Point Of Care Testing management/data collection in community care settings. • Identify barriers and opportunities for pharmacists, nurse practitioners and community care health care providers. • Quantify adoption trends and evaluate how to accelerate platform adoption. 2. Public Health Impact Analysis: • Evaluate how centralized patient data can improve public health decision-making. • Analyze policy frameworks related to point-of-care testing in Canada. • Propose data models that could help predict health trends (e.g., diabetes rates). 3. Healthcare Workflow & Financial Benefits Assessment: • Identify how the platform improves efficiency and reduces paper-based workflows. • Conduct a cost-benefit analysis, estimating revenue/time savings for clinics. • Compare the platform’s impact on patient care vs. traditional methods. 4. Policy & Regulatory Review: • Research and summarize key regulations affecting point-of-care testing. • Provide recommendations to align the platform with nursing and pharmacy mandates.