Aetion’s Technology
Aetion is a healthcare software and services company that uses the science of causal inference to generate real-world evidence on the safety, effectiveness, and value of medications and clinical interventions. Aetion has partnered with the majority of top 20 biopharma, leading payors, and regulatory agencies.
Aetion’s Applications
Aetion’s applications, including Discover and Substantiate, are powered by the AEP, a core longitudinal analytic engine capable of applying rigorous causal inference and statistical methods to hundreds of millions of patient journeys. AetionAI, Aetion’s set of generative AI capabilities, are embedded across the AEP and applications.
Measures Assistant
Measures Assistant is an AetionAI feature in Substantiate. Users build analyses in Aetion Substantiate to turn real-world data into decision-grade real-world evidence. The first step is capturing patient variables from real-world data. Substantiate offers a wide range of Measures, as illustrated in the following screenshot.
Solution Overview
Patient datasets are ingested into the AEP and transformed into a longitudinal (timeline) format. AEP references this data to generate cohorts and run analyses. Measures are the variables that determine conditions for cohort entry, inclusion or exclusion, and the characteristics of a study.
Architecture Diagram
The following diagram illustrates the solution architecture.
Measures Assistant Prompt Template
Measures Assistant maintains a local knowledge base about AEP Measures from scientific experts at Aetion and incorporates this information into its responses as guardrails. These guardrails make sure the service returns valid instructions to the user, and compensates for logical reasoning errors that the core model might exhibit.
Outcomes
Our implementation of AetionAI capabilities enable users using natural language queries and sentences to describe scientific intent into algorithms that capture these variables in real-world data. Users now can turn questions expressed in natural language into measures in a matter of minutes as opposed to days, without the need of support staff and specialized training.
Conclusion
In this post, we covered how Aetion uses AWS services to streamline the user’s path from defining scientific intent to running a study and obtaining results. Measures Assistant enables scientists to implement complex studies and iterate on study designs, instantaneously receiving guidance through responses to quick, natural language queries.
About the Authors
Javier Beltrán is a Senior Machine Learning Engineer at Aetion. His career has focused on natural language processing, and he has experience applying machine learning solutions to various domains, from healthcare to social media.
Ornela Xhelili is a Staff Machine Learning Architect at Aetion. Ornela specializes in natural language processing, predictive analytics, and MLOps, and holds a Master’s of Science in Statistics. Ornela has spent the past 8 years building AI/ML products for tech startups across various domains, including healthcare, finance, analytics, and ecommerce.
Prasidh Chhabri is a Product Manager at Aetion, leading the Aetion Evidence Platform, core analytics, and AI/ML capabilities. He has extensive experience building quantitative and statistical methods to solve problems in human health.
Mikhail Vaynshteyn is a Solutions Architect with Amazon Web Services. Mikhail works with healthcare life sciences customers and specializes in data analytics services. Mikhail has more than 20 years of industry experience covering a wide range of technologies and sectors.
FAQs
Q: What is Aetion’s technology used for?
A: Aetion’s technology is used to generate real-world evidence on the safety, effectiveness, and value of medications and clinical interventions.
Q: What is Measures Assistant?
A: Measures Assistant is an AetionAI feature in Substantiate that enables users to turn questions expressed in natural language into measures in a matter of minutes.
Q: How does Aetion’s solution architecture work?
A: Aetion’s solution architecture involves ingesting patient datasets into the AEP, transforming them into a longitudinal (timeline) format, and generating cohorts and running analyses using Measures.
Q: What is the benefit of using Aetion’s technology?
A: Aetion’s technology enables users to turn questions expressed in natural language into measures in a matter of minutes, without the need of support staff and specialized training.
