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  • Data

Data Stacking

In today’s rapidly evolving healthcare landscape, having access to accurate and comprehensive data is more critical than ever. Our solution overcomes the limitations of individual datasets, such as biases and gaps, to provide a robust and reliable dataset that drives better decision-making in pharmaceutical and healthcare sectors.

Many data vendors are reluctant to allow customers to compare or combine their data, often creating barriers like proprietary patient tokens or changing claims IDs regularly. Additionally, some vendors have strict policies against data comparison or combination with competitors’ data. This reluctance leads to fragmented and potentially misleading datasets.

Challenges with Existing Anonymized Patient-Level Data

While Anonymized Patient-Level Data (APLD) is invaluable, it often comes with significant limitations. Vendor datasets are frequently biased due to variations in channels, geographies, and patient demographics. For example, some vendors might excel in urban areas but lack coverage in rural regions, or they might capture data predominantly from commercial payers, leaving out significant segments of the population. These biases lead to incomplete patient data, resulting in blind spots that can impact strategic decisions.

Introducing Superstack

To address these challenges,  Chryselys has developed the “Superstack” solution. Superstack enhances APLD by integrating and harmonizing data from multiple vendors, creating a comprehensive and accurate dataset that eliminates the biases and gaps present in individual data sources. This solution is ideal for pharmaceutical companies looking to gain a complete understanding of their market, optimize brand performance, and make informed decisions with confidence.

What It Helps
You Do

Exploratory Data Analysis (EDA)

We begin with a thorough analysis of each vendor’s dataset, assessing capture rates and identifying potential biases. This step ensures a deep understanding of each of the attributes provided in the data source.

Stacking and
Merging Claims

Finally, we stack and merge claims data, eliminating redundancies and preserving data integrity. The result is a streamlined dataset that offers a complete view of each patient’s healthcare interactions.

Crosswalk
File Creation

We develop a crosswalk file to link patient records across datasets, facilitating seamless integration of claims data from various vendors.

Patient
Tokenization

Using advanced patient tokenization techniques, we create a unified representation of each patient across different datasets. This process ensures patients are not double-counted so the patient universe is mutually exclusive.

Analytical-Ready Datasets

Beyond providing a comprehensive data stack, Superstack offers analytical-ready datasets, accompanied by expert guidance. These datasets are optimized for use with Large Language Models (LLMs), enabling sophisticated data interaction through Natural Language Processing (NLP).

Why Superstack?

Combining Data

Better Data

Better Patient Outcomes

Key
Benefits

Brand Analytics

Brand Analytics

Gain comprehensive insights to improve brand performance.

Targeting and Sales Optimization

Targeting and Sales Optimization

Enhance targeting accuracy by understanding patient and HCP behaviors.

Patient and HCP Segmentation

Patient and HCP Segmentation

Refine segmentation strategies for more personalized healthcare.

Patient Journey Mapping

Patient Journey Mapping

Obtain a clear view of patient journeys to identify opportunities for improvement.

Referral Analysis

Referral Analysis

Analyze referral patterns to optimize networks and identify key opinion leaders.

Payer Analytics

Payer Analytics

Make informed decisions with a complete view of the market landscape.

Special Applications

Special Applications

Particularly useful in therapeutic areas such as rare diseases and oncology, where accurate patient identification is crucial.

Why Chryselys?

Superstack is backed by a team of experts with deep knowledge of Anonymized Patient-Level Data (APLD) and the pharmaceutical industry. This expertise, combined with our advanced data integration techniques, ensures that the data stack is not only comprehensive but also tailored to the specific needs of each therapeutic area.

Superstack is a market-ready solution, actively utilized by Data Science and Analytics teams to drive strategic initiatives. Its proven track record in real-world applications highlights its effectiveness and reliability, making it an essential tool for pharmaceutical companies seeking to gain a competitive edge.

We Have More To Offer

Master Data Management

In the complex world of Life Sciences, data lives everywhere—CRM, ERP, legacy databases etc. MDM is the discipline of unifying these fragmented streams into a single, trusted “Golden Record.”

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Competetive Intelligence

Built for commercial, medical, regulatory, and strategy teams, our analytics-driven CI model combines domain expertise with intelligent automation to deliver focused, contextual, and action-ready insights.

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Data Quality Management

Chryselys’ Agentic-AI–powered Data Quality Management (DQM) framework generates contextually relevant DQ rules, reducing manual setup time by up to 70%.

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Forecasting

Chryselys’ Forecasting solution equips pharma teams with dynamic, data-driven models that adapt to changing market conditions, patient behavior, and promotional strategies. 

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Field Force Effectiveness

Chryselys’ Field Force Excellence solution brings together data science, CRM, and operational know-how to help commercial teams plan, deploy, and steer their field force for maximum impact.

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Revolutionize your business trajectory and achieve unprecedented growth with our committed partnership

Have Questions?

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