Who we are
Cambridge, United Kingdom
The Strategic Intelligence Alliance was first established in 2017 and is an alliance of interested niche businesses and individuals who are domain experts in Health Informatics, and whose paradigm is to work in close partnership with their NHS colleagues and clients. Our mission is to assist NHS organisations, to build, operate and maintain NHS, Business Intelligence Models and Predictive Analytics using the widest array of Internal and External Data Sets (DataCubes) to continuously improve Patient, Performance and Financial Outcomes.
Our values are to work with members of the NHS family, to ensure that NHS entities can accessand operate Strategic Business Intelligence & Actuarial Models including Predictive Analytics, in a transparent and open manner.
The SIA’s core expertise is based on work carried out by our partners and domain experts over many years, across different industries and countries. We provide template solutions and support with strategic business intelligence and actuarial modelling designed to assist in the management of NHS operations in the UK and covers A&E, Inpatient and Out Patient services and providing a comprehensive understanding of the past and present as well as predicting the future relative to a range of different scenarios
Open Data Models for Cancer Services and Integrated Care - SIA
A major aspect of the SIA mission was to make readily available information, insight and intelligence from open data provided by NHS England, Public Health England, the Office of National Statistics, the Care Quality Commission, and others. This has been achieved through several guises over the years but is now provided through Microsoft power BI models published free to access from the SIA website and covering Cancer services and integrated care services in England.
Modelling Drivers of Deficit
Drivers of the Deficit is a systematic analysis and modelling exercise providing two key outputs:
The size of the THHT financial deficit to create a single, shared understanding of the current position.
An analysis of the deficit to support an understanding of the position, outlining any elements which are structural (outside the control of the NWL System1).
An understanding of both the above outputs will provide a diagnosis to support the generation of relevant and appropriate solutions and a yardstick to test the sufficiency of these plans.
This report is linked to the THHT Medium Term Financial Plan document, which will build on the diagnosis outlined in this report and describe the plan to deliver financial sustainability. This will include current savings and investment plans.
Local Cancer Analysis Tool-kit for the East (LoCATE) - East of England Cancer Alliance
Between 2019 and 2022 we worked in support of the East of England Cancer Alliances North and South assisting with the development and evolution of their Local Cancer Alliance Toolkit
National Neonatal Research Database (NNRD) - Imperial College London
National Neonatal Research Database (NNRD) - Imperial College London
The SIA has been working with Imperial College London to encourage the use of the NNRD in research projects within the NHS, Government Organisations the Pharmaceutical & MedTech industries. We have been working on this for some three years and expect to continue in this effort for some years to come.
The The SIA has been working with Imperial College London to encourage the use of the NNRD in research projects within the NHS, Government Organisations the Pharmaceutical & MedTech industries.
We have been working on this for some three years and expect to continue in this effort for some years to come.SIA has been working with Imperial College London to encourage the use of the NNRD in research projects within the NHS, Government Organisations the Pharmaceutical & MedTech industries. We have been working on this for some three years and expect to continue in this effort for some years to come.
Modelling the Management of Major Health Conditions such as Diabetes, Heart Disease, Dementia, Respiratory Disease
Early Diagnosis Indicators - Methodology and Calculations
This model uses a targeting and segmentation methodology commonly used within the pharmaceutical industry to target undiagnosed patients with an early-stage health condition likely to benefit from a new drug or treatment. The calculations are based on practice disease registers, local conditions, and disease demographics, indicating the likely incidence of the appropriate disease.
The disease demographic data is used to define risk factors by calculating the average score for each risk factors appropriate to all GP Practices. This is simply the total of the risk factor scores divided by the number of risk factor scores. These scores are represented by values 1 to 5 with a score of 5 equivalent to a high population and 1 to low.
The basic principle is that the average of the demographic group should approximately equate to the Disease Indicator meaning that around 1 is OK with above 1 good and below not so good.
Modelling Quality of Life related to cancer diagnosis, treatment, and treatment choices
Suffolk and North East Essex Integrated Care Board
This Microsoft Power BI computer model is a modern OLAP based healthcare intelligence model designed to analyse the results of quality of life perceptions obtained from cancer patients via questionnaire. The data upon which the model is based are scored answers to specific questions designed to ascertain a patient’s quality of life experience across a range of areas. The model will, using a range of analyses and visualisations, simply identify facts, correlations and aggregations which tell a story. There are two aspects to this project, one relating to a local questionnaire and project initiated by the Suffolk and Northeast Essex Integrated Care Board using their own data set (6 months post diagnosis) and another working in partnership with NHS England and using the national data set (18 months post diagnosis).
Accident & Emergency/ and Hospital Inpatient Modelling
Incorporating activity, and cost data for between 3 to 5 years of history, models provide a comprehensive understanding of history and the current position plus forecasts and predictions into the future. They provide for scenario development and analysis providing cause and effect forecast predictions and analyses using Power BI Statistics, Artificial Intelligence and Machine Learning capabilities. The Models can also specifically include modelling options regarding the Minor Injuries, the incorporation of growth assumptions, Staff and Bed requirements based on activity trends and defined scenarios detailed by Specialty.
Ready to find out more?
The SIA is already working with a number of NHS bodies, from hospitals to specialist clinical networks to help them realize gains within and across their systems. This is a shared effort with clinicians and for the benefit of patients. The SIA modelling toolsets are made available on a build cost initial license to the NHS, avoiding creating costly dependency on a single supplier or software system.
If you want to know more about this unique collaboration and how it can work with you to realize better outcomes and results, please browse our site or contact us below
© Strategic Intelligence Alliance in Healthcare Ltd. 2017-2021