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.
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 is to overall study design. If Tagging is new to you, check out this article and then come back to this one! In short, Tagging is the critical function for […]
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 we bet you do too. If you do, check out this featured post and come back often! We post all the time about best practices, new software features, and upcoming […]
AI for Screening: How is it used, and how can we tell how accurate it is?
A Simple Guide to Understanding AI Screening Models and Cross-Validation in Systematic Literature Reviews (SLRs) Introduction AI is increasingly used in systematic literature reviews (SLRs), and screening is one of its most readily AI-assisted steps. Understanding how to evaluate AI performance in this context is crucial for determining its appropriateness in your review. This guide […]
What Type Of Review Could You Write With Nested Knowledge? – A Guide On Review Types Within NK
Initially designed as a comprehensive tool for completing systematic literature reviews, Nested Knowledge has evolved into a versatile platform for conducting a diverse range of review types. See below for a summary of different review types available in Nested Knowledge, as well as example projects and a flowchart of key choices in study design. Systematic […]
Validation Summary: Robot Screener’s Performance in Screening Records for Systematic Literature Review and Health Technology Assessment
Systematic literature reviews (SLRs) are the backbone of Health Economics and Outcomes Research (HEOR), playing a vital role in Health Technology Assessments (HTAs). However, the vast quantity of research publications can turn the initial screening of abstracts into a time-consuming roadblock. Nested Knowledge’s (NK) Robot Screener is an AI tool poised to revolutionize this process, […]
Nested Knowledge Will Be At ISPOR 2024
From helping you implement faster AI-assisted workflows which speed up your team by up to 75%, to helping you think through how to design your next project with the new JCA requirements in mind, Nested Knowledge has you covered. If there is a singular through line that ties these top trends together, it’s this: evidence synthesis is getting more complicated, not less.
Towards Patient-Centered Health Technology Assessment
While HTAs are designed to help payers–in some cases governments– allocate resources and control rising healthcare costs, patients are the ultimate stakeholders.
In the seventeen years since researchers first proposed “patient-based health technology assessments,” key institutions have made progress. PCORI, ICER, and other agencies invite patient comments on HTAs and listen to patients on their advisory panels.
