This post originally appeared on Fast Data Science’s blog on LinkedIn.
Clinical trials, the backbone of medical science advancement, often grapple with high costs, complexity, and lengthy timelines. Fast Data Science presents Fast Clinical AI, a game-changing solution that harnesses the power of Natural Language Processing (NLP) and predictive modelling to tackle these challenges head-on.
Fast Clinical AI automates the extraction of critical information from trial protocols, significantly reducing manual efforts. This tool identifies risk factors and predicts costs and enrolment criteria, ensuring efficient trial planning and execution.
By identifying potential risks early in the trial process, Fast Clinical AI allows researchers to take proactive measures, minimising the chances of trial delays or failures. This proactive approach ensures that trials are faster and more reliable.
Fast Clinical AI helps predict and manage the costs associated with clinical trials, ensuring better resource allocation. Reducing manual efforts and streamlining processes significantly reduces the time required to bring new treatments to market.
Explore how Fast Clinical AI can revolutionise your clinical trials. Visit here for more details. Learn more about clinical trial cost modelling with NLP and AI here. Connect with us today to see how we can support your clinical trial efforts. Let’s innovate together!
#ClinicalTrials #AI #NLP #HealthcareInnovation #FastClinicalAI
You may have been tasked with creating a clinical trial site budget. This is a budget itemising all the costs that will be incurred at the study site. The site budget may be needed To estimate the total cost of that site running part of the trial, as part of a bid to the CRO or sponsor To identify who needs to be reimbursed for each cost item To ascertain whether or not it is feasible to run the trial at that site To ensure that the site is reimbursed for the costs that they incur while running the trial If you are building a site budget, the most important document is the study protocol.
Fast Data Science are pleased to announce that the Clinical Trial Risk Tool, has been accepted as a supplier on the UK Government’s G-Cloud 15 framework. The G-Cloud 15 framework allows public sector bodies to buy cloud-based computing services such as AI, hosting, software and support directly without lengthy, costly traditional tender processes. What does the Clinical Trial Risk Tool do? The Clinical Trial Risk Tool helps users to analyse clinical trial protocols and documents.
Estimating the total cost of a clinical trial before it runs is challenging. Public data on past trial costs can be hard to come by, as many companies guard this information carefully. Trials in high income countries and low and middle income countries have very different costs. Upload your clinical trial protocol and create a cost benchmark with AI Protocol to cost benchmark The Clinical Trial Risk Tool uses AI and Natural Language Processing (NLP) to estimate the cost of a trial using the information contained in the clinical trial protocol.
