Data Stacking Capability by Chryselys: Superstack Solution
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
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.
Why Superstack?
The Superstack Solution
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.
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.
Crosswalk File Creation:
We develop a crosswalk file to link patient records across datasets, facilitating seamless integration of claims data from various vendors.
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.
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).
Brand Analytics
Gain comprehensive insights to improve brand performance.
Targeting and Sales Optimization
Enhance targeting accuracy by understanding patient and HCP behaviors.
Patient and HCP Segmentation
Refine segmentation strategies for more personalized healthcare.
Patient Journey Mapping
Obtain a clear view of patient journeys to identify opportunities for improvement.
Referral Analysis
Analyze referral patterns to optimize networks and identify key opinion leaders.
Payer Analytics
Make informed decisions with a complete view of the market landscape.
Special Applications
Particularly useful in therapeutic areas such as rare diseases and oncology, where accurate patient identification is crucial.
Why Choose 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.
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