Life science companies rely on data for nearly every part of their operations, including medical affairs, market access, post-market surveillance, and real-world evidence generation. Large pharmaceutical organizations can possess thousands of datasets containing invaluable, yet untapped, information. Evidentli addresses this challenge with its data management platform, Piano, which leverages our proprietary Agile AI™ technology to process raw healthcare data with exceptional speed and, critically, accuracy.
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To protect patient privacy and navigate complex jurisdictional regulations, it is often preferred to access data at the hospital or clinic where it was generated. When multiple facilities are involved, this method is called federation. In federated data analysis, all facilities must present their analysis-ready data (ARD) using a common data model. Piano's Agile AI™ technology processes the data at each site and transforms it into OMOP, the gold standard for healthcare common data models.
However, minor site-specific differences can emerge that lead to "dialects" within the OMOP standard. Our patented Evidence Hub platform solves this by coordinating sites to ensure each facility’s data is compliant with the common data model and compatible with all other facilities. For instance, Evidence Hub guarantees that if one facility introduces a new terminology concept and issues a new ID for it, all network facilities use the identical concept with the same ID. Similarly, Evidence Hub ensures consistent application of data quality tests, extra tables, population characterizations, and more across all facilities.
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The revolutionary promise of AI in healthcare has been tantalizingly close for decades. While foundation models and LLMs are powerful tools, they can only effectively process healthcare data if they can interpret it. However, these models struggle with the noisy, non-sequential, siloed data and hyper-customized data models that are typical of healthcare. Simply put, they cannot operate on raw healthcare data. Evidentli provides the necessary data on-ramp, making healthcare data ready for AI training and analysis.
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Drug companies searching for new datasets, clinicians aiming to prevent patient harm, and other researchers all recognize the enduring truth of the adage, "garbage in - garbage out." However, healthcare data isn't inherently "garbage"; it's highly disorganized, siloed, and hyper-customized, which often makes it unusable to researchers, pharma, clinicians, and others working to innovate in healthcare. Evidentli provides the tools to reorganize and standardise healthcare data and in this way, accelerate the process of generating insights and driving innovation using healthcare data.
Contact us to find out how you can easily collaborate with colleagues, even in other organizations such as pharma and academic research centres, without sharing data.
Improving healthcare provider services is a routine, yet significant, part of every healthcare organization’s operations and budget. Notably, 60% to 80% of this cost is associated with data interpretation and normalization.
Evidentli enables professionals to bypass having to wade through volumes of messy data. This allows them to efficiently close gaps in care, comply with quality requirements, investigate quality issues, and produce necessary reports and dashboards.
Evidentli's Piano and Evidence Hub are extensible platforms designed for growth and customization. Service providers and software vendors who leverage data to enhance client value can integrate Piano to accelerate delivery, boost productivity through reusable components, and utilize streamlined user interfaces optimized for healthcare data interrogation.
Reach out to us to discover how incorporating Piano Inside can elevate your products and services.