Health Link
The Big Picture HealthLink Dimensions has been in operation for over 20 years. The company was formed to provide healthcare business intelligence to companies in the healthcare vertical by bringing together multiple source database management and data integrity services. Our data and marketing efforts have fueled initiatives in the Life Sciences industry for many years […]
Tudor Health
The Big Picture Tudor Health was founded by a group of scientists and industry experts to improve patient care in hyper-specialized markets. We provide multinational (not just USA) RWE data for highly specialized disease cohorts, starting in Oncology and Non-Alcoholic SteatoHepatitis (NASH). Our organization supports drug commercialization and development in highly specialized markets. Tudor Health […]
LexisNexis-3
The Big Picture Serving customers across the payer, provider, pharmacy, life sciences, and health IT markets, the Health Care business of LexisNexis Risk Solutions uses big data technology, advanced linking capabilities, patented algorithms, and data modeling to deliver industry-specific expertise and customer-focused solutions that help organizations accomplish their goals. Our mission is to enable the […]
LexisNexis-2
The Big Picture Serving customers across the payer, provider, pharmacy, life sciences, and health IT markets, the Health Care business of LexisNexis ® Risk Solutions uses big data technology, advanced linking capabilities, patented algorithms, and data modeling to deliver industry-specific expertise and customer-focused solutions that help organizations accomplish their goals. With a focus on unlocking […]
Guardian Research Network
The Big Picture Guardian Research Network (GRN), a non-profit organization, is a nationwide health system research consortium focused on advancing technology to accelerate cures for life-threatening diseases such as cancer, rare diseases, diabetes, and others. GRN works with life sciences clients and health system members to increase participation in data-driven clinical trials, optimize therapeutic and […]
The AI Revolution in Drug Discovery: Faster Cures On the Horizon
Imagine a world where finding cures isn’t a marathon, but a sprint. Enter Generative AI (GenAI), the wunderkind of the pharmaceutical lab, here to shake things up like a mad scientist with a test tube full of bright ideas. This isn’t your average lab assistant. GenAI’s got superhuman data-crunching abilities, sifting through mountains of research […]
Achieving Successful Multi-Country Customer Master rollout for Pharma
Expanding Customer MDM to multiple countries presents significant challenges in terms of establishing a unified, consistent and accurate data management framework across diverse regions. The whitepaper will focus on both process and technology solutions to address key areas related to: The whitepaper will also focus on some of the potential challenges we faced while managing […]
Filling the Holes: Data Stacking- an expert perspective from Chryselys.
Claims data stacking is the process of bringing together patient-level data from different claims vendors to create one clean, complete view of each patient’s healthcare journey. Because no single vendor captures every diagnosis, procedure, or prescription event, each dataset provides only a partial story. Stacking helps fill in those gaps by reconciling overlaps, smoothing out […]
LexisNexis-1
The Big Picture The Health Care business of LexisNexis® Risk Solutions offers the most comprehensive and accurate provider, patient, and member data in the industry. Through proprietary linking, claims analytics and predictive science, we help payers, providers, pharmacies, life sciences organizations, and health IT companies improve patient outcomes, prevent fraud, protect patient identities, reduce costs, […]
Beyond Time-Series: Applying Systematic, AI-Driven Anomaly Detection in Pharma Data Pipelines
In our previous discussion, we explored how time-series anomaly detection can illuminate hidden patterns and unexpected shifts in complex pharmaceutical sales data. By identifying sudden fluctuations—such as abrupt drops or surges—across time, we gain understanding on market forces, competition dynamics, and prescribing behaviors. When dealing with pharmaceutical commercial data, Many people mistakenly believe that anomaly […]
