Healthcare & Personalized Pathways
With the exponential growth of healthcare data fueled by advancements in technology, the traditional approaches to data management, analysis, and visualization are undergoing a profound evolution. Among the emerging methodologies, graph analytics and visualization stand out as powerful tools with the potential to reshape the landscape of digital health.
GraphPolaris offers a novel approach to uncovering hidden patterns, relationships, and insights within complex datasets. By representing data as interconnected nodes and edges, graph analytics transcends the limitations of traditional tabular structures, enabling a more nuanced understanding of interdependencies within healthcare ecosystems.
Our strong visualization capabilities provide intuitive means to interactively explore and comprehend the rich context of interconnected data, empowering stakeholders to derive actionable insights with unprecedented clarity.
Our solutions aim to ‘move the innovation needle’ towards personalized therapy pathways on both population and patient level:
Patient Journey Analysis
Supported by the GraphPolaris platform, you can model the entire patient journey, including interactions with healthcare providers, treatments received, medications prescribed, and outcomes. Analyzing this data can help healthcare organizations optimize patient care pathways, identify inefficiencies, and improve patient outcomes.
Precision Medicine
Providing personalized solutions is a typical multi-variate, spatial-temporal data analytics challenge. GraphPolaris helps you integrate genomic, pathological, imaging data and electronic health records to create comprehensive patient profiles. As a healthcare provider, explore the potential of personalized patient pathways with these profiles, and tailor treatments to patients based on their genotype, medical history, and lifestyle factors.
Disease Surveillance and Outbreak Management
Our platform is suitable for modelling disease transmission networks, healthcare facility networks, and population demographics. This way, public health authorities can track disease outbreaks, monitor the spread of infectious diseases, and allocate resources effectively and with ease.
Healthcare Fraud Detection
GraphPolaris models relationships between patients, healthcare providers, insurance claims, and billing records. Investigating these relationships can help detect patterns suggesting fraudulent activities, such as overbilling, phantom billing, and kickbacks.
Solutions
GraphPolaris provides comprehensive solutions tailored for the challenges in your industry. We tackle the problems in your domain ecosystem structurally, by identifying the biggest return on investigation.
Security & Intelligence
GraphPolaris provides significant added value in security and intelligence use cases by offering a holistic view on interconnected entities and relationships, uncovering hidden patterns, and enabling better decision-making.