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Background: Multicenter precision oncology real-world evidence requires a substantial long-term investment by hospitals to prepare their data and align on common Clinical Research processes and medical definitions. Our team has developed a self-assessment framework to support hospitals and hospital networks to measure their digital maturity and better plan and coordinate those investments. From that framework, we developed PRISM for Cancer Outcomes: PR: agmatic I: nstitutional S: urvey and benchM: arking.
Objectives: The primary objective was to develop PRISM as a tool for self-assessment of digital maturity in oncology hospitals and research networks; a secondary objective was to create an initial benchmarking cohort of >25 hospitals using the tool as input for future development.
Methods: PRISM is a 25-question semiquantitative self-assessment survey developed iteratively from expert knowledge in oncology real-world study delivery. It covers four digital maturity dimensions: (1) Precision oncology, (2) Clinical digital data, (3) Routine outcomes, and (4) Information governance and delivery. These reflect the four main data types and critical enablers for precision oncology research from routine electronic health records.
Results: During piloting with 26 hospitals from 19 European countries, PRISM was found to be easy to use and its semiquantitative questions to be understood in a wide diversity of hospitals. Results within the initial benchmarking cohort aligned well with internal perspectives. We found statistically significant differences in digital maturity, with Precision oncology being the most mature dimension, and Information governance and delivery the least mature.
Conclusion: PRISM is a light footprint benchmarking tool to support the planning of large-scale real-world research networks. It can be used to (i) help an individual hospital identify areas most in need of investment and improvement, (ii) help a network of hospitals identify sources of best practice and expertise, and (iii) help research networks plan research. With further testing, policymakers could use PRISM to better plan digital investments around the Cancer Mission and European Digital Health Space.
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http://dx.doi.org/10.1055/s-0044-1788331 | DOI Listing |
Cuad Bioet
September 2025
Facultad de Farmacia y Nutrición de la Universidad de Navarra, Irunlarrea, 1, 31008 Pamplona.
In recent years, there has been a significant increase in minors with gender dysphoria (GD) seeking transition treatments, including puberty blockers and cross-sex hormones. The developing child's brain exhibits structural and functional differences in children with GD compared to cisgender children, particularly in areas where sex differences exist. Brain development during childhood and adolescence is strongly influenced by sex hormones.
View Article and Find Full Text PDFFront Artif Intell
August 2025
Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada.
Precision livestock farming increasingly relies on non-invasive, high-fidelity systems capable of monitoring cattle with minimal disruption to behavior or welfare. Conventional identification methods, such as ear tags and wearable sensors, often compromise animal comfort and produce inconsistent data under real-world farm conditions. This study introduces Dairy DigiD, a deep learning-based biometric classification framework that categorizes dairy cattle into four physiologically defineda groups-young, mature milking, pregnant, and dry cows-using high-resolution facial images.
View Article and Find Full Text PDFMayo Clin Proc Digit Health
September 2025
Department of Medicine, University of California, San Francisco, CA.
Objective: To systematically examine how digital health startups define and operationalize engagement in the post- coronavirus disease environment (2020-2025).
Patients And Methods: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines adapted for web-based literature, we systematically reviewed publicly available information from digital health startups founded or significantly operating between 2020-2025. We extracted engagement definitions from company websites, white papers, blog posts, and press releases.
Health Soc Care Deliv Res
September 2025
Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Background: Remote services (in which the patient and staff member are not physically colocated) and digital services (in which a patient encounter is digitally mediated in some way) were introduced extensively when the COVID-19 pandemic began in 2020. We undertook a longitudinal qualitative study of the introduction, embedding, evolution and abandonment of remote and digital innovations in United Kingdom general practice. This synoptic paper summarises study design, methods, key findings, outputs and impacts to date.
View Article and Find Full Text PDFF1000Res
September 2025
Institute for Systems and Computer Engineering Technology and Science, Porto, Porto District, 4200-465, Portugal.
Digital transformation has been one of the main trends in organizations in recent years, and digital literacy is a critical factor in the success of this transformation. Digital transformation involves the use of digital technologies to improve an organization's processes, products, and services. For this transformation to be successful, it is necessary for employees to have knowledge of and skills in digital technologies.
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