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The Wellcome Trust COVID-19 questionnaires helping standardise COVID-19 data collection acr...
A consortium of population health researchers, led by researchers at University of Bristol and Edinburgh, have developed several COVID-19 questionnaires. They are designed to help researchers...
Efficient assessment: ascertainment, adjudication and analysis of trial outcomes
Traditionally clinical trial outcomes are recorded as single reports (often with handcrafted
Narrative descriptions) at face-to-face research clinic visits. Typically, original medical records are...
Developing a risk prediction model for COVID-19 patients needing intensive care
This project is using large-scale real-time data and analysis to help hospitals rapidly and more reliably predict when a patient with severe COVID might need intensive care.
CovidSurg Risk Stratifier
This project is using real-world data to help patients and clinicians around the world assess the risk of having surgery while infected with COVID.
Regulator-grade data quality, EHRs and outcome assessment in late-phase clinical trials
A seconded staff member to NHS Digital is looking at the process of data getting from site records into central administrative datasets. This will determine whether these datasets meet the...
Using health data science and large-scale data to improve the lives of people with rare aut...
This project is using national electronic health records to register and improve the health and care of people with rare diseases.
Real time analytics of unstructured and structured records
The project is developing a method of collating and interrogating diverse hospital datasets – including unstructured, written notes – to improve patient care and streamline services.
Global mapping of publicly available datasets: understanding the barriers to visibility, ac...
This project looks at the publicly available eye imaging datasets that are informing new health technologies and approaches to care, and how they represent diverse people and needs.
Improving the quality of evidence of clinical trials for AI interventions
This project is developing the world’s first guidelines to make sure that AI interventions for health are supported by the best possible evidence.