Life Sciences Services
Patient Recruitment
- Matching Platform
- Data Strategy
- Patient Screening
- Patient Education
- Patient Outreach
- EMR Querying
Commercial Analytics
- Demand Forecasting
- HCP Segmentation
- OmniChannel Target
- Branding Analytics
- Market Access Optimization
- Data Strategy
Digital Therapuetics
Patient Recruitment
Patient Education
Patient Outreach
Data Strategy
Gen AI - Patient Recuritment
Patient Recruitment Benefits
Reduced Enrollment Timelines
Reduced Screen Failures
Increased Patient Access
Faster Access to New Therapies
Improved Health Equity
Enhanced Patient Experience
Clinical Trial Matching
Gen AI and Predictive AI
Why Aganyta?
Reduced Enrollment Timelines
Reduced Screen Failures
Increased Patient Access
Faster Access to New Therapies
Improved Health Equity
Enhanced Patient Experienc
Key Features
Complex Patient Record Patterns
Capable of capturing intricate features and nuances in patient records that are challenging for traditional rule-based or deterministic methods
Dynamic Healthcare Data
Designed to be resilient to healthcare data distribution changes in patient demographics, data entry practices, or other environmental factors.
Generalization
Demonstrates strong performance to unseen or partially observed data, making them effective when patient records may be incomplete or there are variations in the available information.
Auto Learn Matching Features
Automatically learns relevant patient matching features from complex medical records without explicit feature engineering.
High Dimension Patient Records
Representations of patient records with latent features that contribute to patient identity, making it easier to compare and match records accurately.
Multi-Modal Similarity Matching
Embeddings and vector databases provide efficient similarity search, representing data as vectors in a high-dimensional space, then indexing for tasks like patient or trial matching.
Patient Record Representation
Excel at capturing non-linear relationships providing a more accurate representation of the underlying patient record
Variability and Noise
Robust to variations and can learn to generate meaningful representations of the underlying data distribution even in the presence of noise.
Commercial Analytics
Commercical Analytics Solution Benefits
Reduced Enrollment Timelines
Reduced Screen Failures
Increased Patient Access
Faster Access to New Therapies
Improved Health Equity
Enhanced Patient Experience
Pharma Commercial Analytics
Gen AI and Predictive AI
Why Aganyta?
Reduced Enrollment Timelines
Reduced Screen Failures
Increased Patient Access
Faster Access to New Therapies
Improved Health Equity
Enhanced Patient Experience
Key Strategies
Multivariate Demand Forecasting
Multivariate, multi-time series, and non-auto-regressive demand forecasting models excel in accuracy over traditional approaches using historical sales, market dynamics, patient health records, physician behavioral data, and supply chain data.
Targeted HCP Micro Segmentation
Ensemble models of vectorized similarity and clustering algorithms enhances healthcare professional (HCP) segmentation for precise micro-targeting. This approach identifies nuanced similarities, improving targeting accuracy and personalized engagement in healthcare marketing.
Payer Analytics
Provides contracting and reimbursement decisions through AI driven rebate usage tracking, formulary and plan-level performance data management, rebate/cash flow forecasting, and disputable rebate dollar detection. ML model alerts and trend-based insights enhance decision-making, reduce risk, improve patient access, brand performance, and improve financial outcomes.
Omnichannel – HCP Targeting
AI models for Healthcare Professional (HCP) customer profiling, journey mapping, engagement, and channel selection to target campaigns effectively. Generative AI facilitates engagement content generation, MLR acceleration, and field and medical summarization. Predictive analytics are used to measure customer conversion and campaign effectiveness in Pharma Commercial strategies.
Market Access Optimization
Market Access Optimization leverages healthcare analytics to identify market access barriers, payer preferences, and reimbursement trends. Payer Analytics model market access strategies, pricing models, and contracting strategies across payer segments. Outcomes-based pricing strategies are optimized using AI analytics, ensuring effective market access and pricing strategies in Pharma Commercial.
Data Strategy
Market Access Optimization leverages healthcare analytics to identify market access barriers, payer preferences, and reimbursement trends. Payer Analytics model market access strategies, pricing models, and contracting strategies across payer segments. Outcomes-based pricing strategies are optimized using AI analytics, ensuring effective market access and pricing strategies in Pharma Commercial.
Patient Matching Solution
Clinical Trial Sponsor Benefits
- Accelerated Enrollment
- Trial Efficiency
- Adaptive Trial Design
- Health Equity
High Precision Matching
Accelerate Patient Recruitment
Adaptive Trial Design
Accurate Trial Matching
Amplified Participant Pool
Access to Innovative Treatment
Pharma Commercial Solution
Pharma Business Benefits
- Improved Product Positioning
- Sales Effectiveness
- Competitive Advantage
- Optimized Resource Allocation
- Enhanced Brand Visibility
- Deeper Market Insight
- Greater Customer Engagement
