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Work and Research Partners

Ourea Events are a leading UK ultra running event company. Anabasis are working with to further develop the ways in which race information can be conveyed to competitiors and their supporters both during and after the event.

Anabasis are leading on a project to implement trigger alerts on Variable Life-Adjusted Display (VLAD) charts on patient outcomes recorded in the National Institute for Cardiovascular Outcomes' (NICOR) National Congential Heart Disease Audit. The implementation of novel research, we are working with the University of Leeds on this NHS England funded project.

We have just completed the first phase of an exciting project with the Northern Health and Social Care Trust in Northern Ireland to develop an automated staff deployment web app - PEDRO. For more details please see here.

Mastodon C are big data experts. We recently partnered with them to develop the predictive analytics that are embedded within PEDRO. They know their stuff are a great company to work with!

The Small Business Research Initiative (SBRI) are a branch of InnovateUK. SBRI funded the first phase of our project with the Northern Health and Social Care Trust (HSC) to develop PEDRO. The sponsor for the development of PEDRO was the Department of Health in Northern Ireland. The competition for such funding is significant - we were very pleased to be selected by SBRI to develop PEDRO for HSC.

We are currently working with the National Centre for Cardiovascular Outcomes Research (NICOR) on a number of exciting data visualisation and indicator development projects.

Our work for Health Education England (HEE) involves the development of an interactive dashboard that enables HEE and a number of NHS Trusts in Lincolnshire to reconcile their workforce and financial planning to support the development and implementation of their Sustainability and Transformations Plans.

We sit on NHS Digital's Methodology Review Group (MRG). MRG is a panel of health intelligence experts that review the statistical and data processing methods that underpin existing and new healthcare information products used to report on the NHS and to assist with planning within the NHS.

Over the past two years we have worked with NHS England on a number of varied projects. We are currently working with them to develop and assure statistical methodologies used to construct Clinical Quality Service Measures.

Other projects and assignments have included the interim leadership and management of the QIPP Analysis Team, discrete event simulation modelling for Child and Adolescent Mental Health services, the development of a prototype dashboard for Accident and Emergency Services using open source web and coding frameworks, and analysis to support the Specialised Services Programme.

We are currently working with the Whole Systems Partnership (WSP) on a wider collaborative project involving WSP, the SIMUL8 corporation and Brunel University. Called the Cumberland Initiative, the outcome of the project will be the development and delivery of integrated Systems Dynamics and Discrete Event Simulation models that simulate integrated emergency care pathways for Hillingdon Clinical Commissioning Group.

Our PhD research is based within the Leeds Institute for Data Analytics at the University of Leeds. Centred on the design of a system framework that will facilitate the automated generation of data visualisations derived from big (and small) data, statistical models and statistical process control charts as specfied by the user, we are happy to say that this research is in its latter stages and the thesis will be completed soon.

The outcome of a project working with Hebeworks was a series of web-based data visualisations built from GPS data collected during cycle rides and mountain runs. The visualisations we developed included 3-D mapping and the presentation of various metrics derived from the data such as runner and rider speed, heart rate, power and energy expended by the athlete.

We have been involved in a number of projects for Methods Analytics, the main one being leading their development of the Summary Hospital-level Mortality Indicator (SHMI). This involved assuring SQL data processing and developing the 140 logistic regression models (in R) that are required to generate the SHMI. Having led on the original national development of the SHMI while working as Clinical Indicator Programme Manager for the Health and Social Care Information Centre (HSCIC), we were well placed to carry out this work for Methods.

Our work for the Bradford Institute for Health Research (BIHR) has included the design and development of an online interactive data visualisation dashboard that presented various statistics and other information, reporting on data collected by BIHR as part of their Born in Bradford research programme.