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Join Nested Knowledge at ISPOR EU 2024: AI-Powered Solutions for the HTAR Era
As we approach ISPOR Europe 2024 in Barcelona on November 17th, we stand at a fascinating intersection of regulatory evolution and technological innovation. This conference comes at a crucial time, just months before the implementation of the EU Health Technology Assessment Regulation (HTAR) – a transformative change in how health technologies are evaluated across the European Union. While policy makers have spent the past three years laying the groundwork for the coming harmonization of health technology assessment, we at Nested Knowledge have also been hard at work developing tools to help our users meet a number of the associated challenges head-on.
Nested Knowledge Awarded NIH SBIR Grant to Advance AI-Powered Quantitative Data Extraction
We are thrilled to announce that Nested Knowledge has been awarded a Phase I SBIR grant from the National Library of Medicine (NLM) at the National Institutes of Health (NIH). This grant provides $304,971 in total funding towards building automated quantitative extraction from text and tables in medical literature.
Empowering Stroke Research: Dr. Yasmin Aziz’s Journey with Nested Knowledge
In the ever-evolving field of stroke research, new questions about different therapies, trial outcomes, and even metrics of procedural success are constantly emerging, meaning that systematic reviews are needed on a consistent basis to extract all information needed to inform both patient care and future research. In these projects, because of the major decisions that may result from the findings and because of how busy stroke physicians are, the efficiency and accuracy are paramount.
Recently, we sat down for a conversation with Dr. Yasmin Aziz, a practicing neurologist and Assistant Professor in the Neurology and Rehabilitation Medicine Department at the University of Cincinnati (UC) Gardner Neuroscience Institute.
NICE Guidelines for AI Methods: The Nested Knowledge Approach
This article outlines how to achieve compliance with HEOR and SLR guidelines for employing AI:
AI Approach: First, we outline our development practices and approach to integrating AI into the human workflows for SLR and evidence synthesis, with a focus on human oversight, transparency, validation, and compliance with emerging industry standards.
NICE Compliance: In part two of this article, we’ll examine how our philosophy stacks up against the latest position statement from the National Institute for Health and Care Excellence (NICE), including AI-enabled practices that fall within specific guidance from this statement.
Introducing Core Smart Tags
Introducing Core Smart Tags If you are familiar with Tagging in Nested Knowledge, you know how integral the process of setting up a tagging hierarchy
JCA: How Nested Knowledge Helps
A blog about systematic literature reviews? Yep, you read that right. We started making software for conducting systematic reviews because we like doing systematic reviews. And