Workflows to replace the outdated, excess information will be essential for finding meaning in the clinical literature.
Smart Tag Recommendations Explained: How GPT-4 Extracts Data From Full Texts So…can ChatGPT Do Your Systematic Review? The short answer is no…but it might be able help speed up the process for you. When we first started to experiment with ChatGPT back in January, we knew the technology had serious promise, and even more serious […]
Ushering In the Age of Digital Transformation: How Big Pharma Can Move Past Static Evidence and Into Living, Interactive Synthesis
Digital transformation has arrived to the field of systematic review, in the form of Nested Knowledge. Nested Knowledge is a comprehensive software platform that transforms the SLR paradigm from static, out-of-date PDFs to dynamic, living, interactive web-based visuals. Nested Knowledge offers a complete solution for SLRs, from search to synthesis. With Nested Knowledge, you get both an AI-enhanced workflow and automatically-generated living evidence libraries.
The IRA is shaking up how drug companies and insurers set prices. Increasingly, reimbursement is now directly connected to the proven clinical efficacy of therapies. These companies–and their data providers–can take steps now to generate, store, and update evidence to prepare for health technology assessment in the era of the IRA.
I started where any literature review starts–by trying to construct a Search. I wanted to see if ChatGPT could generate a PubMed query that would yield similar initial search results to a human’s initial search string. I figured it would be easiest to simply try to replicate the initial search from a recently published review conducted by our research team in collaboration with two physicians from Stanford.
Tech, meet experts. It’s a powerful force multiplier: using Nested Knowledge’s intelligent systematic review and evidence visualization software, experts at a top clinical research organization have built a living evidence library for their client, a leading pharmaceutical company in the diabetes space.
December 6, 2022 How Nested Knowledge users harmonize data, structure study content, and build expert knowledge into the platform. When reviewing the medical literature, the general set of steps are usually constructed as: Search for studies (on PubMed, Embase, and similar), Screen to include relevant articles (sometimes with multi-step or dual screening methods), Extract data […]
When I was first introduced to Nested Knowledge, I had zero publications, I did not even know what a systematic review was. I didn’t know what a Meta-analysis was…but I was motivated and NK provided the tools for me to learn and grow.
How Stanford Physicians Used Nested Knowledge to Publish Four Systematic Literature Reviews in Under a Year
June 17, 2022 Recently, we sat down with Stanford physicians Dr. Jeremy Heit and his protégé Dr. Guatam Adusumilli to learn how they published four systematic literature reviews in under a year using the Nested Knowledge software platform. Dr. Jeremy Heit, MD, PhD is an Assistant Professor of Radiology and of Neurosurgery and the interim […]
This help article is about searching PubMed via API through the NK Platform. After developing a research question, use NK software to run a literature search on PubMed. These searches can be performed immediately and repeated on a schedule.