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Title
Northumbria Healthcare NHS Trust Predicts Surgical Risk with Azure Machine Learning
…ns Professor Mike Reed and Dr. Justin Green are leading a clinical team that is applying data science and machine learning to historical data on surgical outcomes to produce individualized patient risk profiles. Using Azure Machine Learning and the Responsible AI dashboard, the team works…
Description
Northumbria Healthcare NHS Foundation Trust surgeons built a machine learning model using 220 input parameters from historical surgical-outcomes data on Azure Machine Learning and its Responsible AI dashboard to produce individualized, explainable patient risk profiles for joint-replacement surgery, helping patients make informed decisions and the Trust place surgical candidates at appropriately specified facilities.
…nformatics. With his help, the team has uncovered some interesting results from the 220 different input parameters its machine learning model uses. “We know that factors like age, ethnicity, smoking history, and body mass inde…
…the coming months, but they are already excited to expand the project’s scope. The current application is focused on hip and knee replacements, but it has become clear to the team that the work is applicable to a wide rang…
Problem
When a patient asks if surgery will go all right, surgeons often end up giving quite general answers because it can be very hard to predict, and the Trust needed a better indication of how patients will fare so it could have more meaningful conversations with them and better plan for their surgery, especially while clearing a COVID-19 surgical backlog.
…patients to a facility with a level of care appropriate to their risk factors. “When a patient looks one of us in the eye and asks if the surgery will go all right, we often end up giving quite general answers because it can be very hard to predict,” says Reed. “That led us to explore how technology can give us a better indica…
Solution
The team used Microsoft Azure Machine Learning to build a model using 220 different input parameters, including factors like age, ethnicity, smoking history, body mass index and blood test results such as platelet count, to generate individualized surgical risk profiles. Azure Machine Learning also provides access to the Responsible AI dashboard, which brings together tools for machine learning interpretability, unfairness assessment and mitigation, error analysis, causal inference, data exploration and counterfactual analysis, letting the team understand, refine and explain its outcomes. The team is making its models and methodologies available as open-source software and is piloting the approach with an NHS hospital group in Wales.
…access to the Responsible AI dashboard . This comprehensive one-stop interface brings together several mature Responsible AI tools in the areas of machine learning interpretability, unfairness assessment and mitigation, error analysis, causal inference, data exploration, and counterfactual analysis. These capabilities were essential for the development of a robust and clinical…
…for procedures, it is also expanding its efforts beyond the Northumbria Trust. “We are collaborating with an NHS hospital group in Wales to design a pilot program to help assess their surgical waiting list,” says Reed. “They have one hospital with 10,000 patients waiting, and our work…
Business value
With Azure Machine Learning, the team can show patients a risk score highly tailored to their individual circumstances, helping them decide whether to have surgery or make lifestyle changes to decrease risk beforehand. The work also helps the Trust triage patients to doctors and operating facilities with an appropriate level of care, and a pilot with a Welsh NHS hospital group aims to help identify patients who could safely have surgery at a lower-specification hospital, reducing wait times for both lower- and higher-risk patients.
…ing list,” says Reed. “They have one hospital with 10,000 patients waiting, and our work can help identify patients who could safely have surgery at a lower-specification hospital, thereby reducing the wait for both lower and higher-risk patients.” While the doctors with whom the project team has shared its findings have bee…
Headline outcome
…l and toward something much more individualized.” “With Azure Machine Learning, we can show the patient a risk score that is highly tailored to their individual circumstances. […] Ultimately, we aim to reduce risk, reduce uncertainty, and improve surgica…
Use case type
Decision support
…l and toward something much more individualized.” “With Azure Machine Learning, we can show the patient a risk score that is highly tailored to their individual circumstances. […] Ultimately, we aim to reduce risk, reduce uncertainty, and improve surgica…
Company
Northumbria Healthcare NHS Foundation Trust
…ave more meaningful conversations with them and better plan for their surgery.” Northumbria Healthcare NHS Foundation Trust serves a population of approximately 500,000 people in northeast England across one of the largest geographic regions of any NHS trust. Like healthcare…
Country
United Kingdom
…Trust PRODUCTS Azure Azure Machine Learning ORGANIZATION SIZE 10,000+ employees COUNTRY United Kingdom BUSINESS NEED Artificial Intelligence INDUSTRY Health Provider Share the story…
Industry
Healthcare
…10,000+ employees COUNTRY United Kingdom BUSINESS NEED Artificial Intelligence INDUSTRY Health Provider Share the story Explore related stories /h2> "> Explore related stories Stories…
AI capabilities
Predictive Analytics
…ns Professor Mike Reed and Dr. Justin Green are leading a clinical team that is applying data science and machine learning to historical data on surgical outcomes to produce individualized patient risk profiles. Using Azure Machine Learning and the Responsible AI dashboard, the team works…
Technology
Azure Machine Learning, Azure
…rust Discover more details CUSTOMER Northumbria Healthcare NHS Foundation Trust PRODUCTS Azure Azure Machine Learning ORGANIZATION SIZE 10,000+ employees COUNTRY United Kingdom BUSINESS NEED Artifi…
Deployment model
cloud
…rust Discover more details CUSTOMER Northumbria Healthcare NHS Foundation Trust PRODUCTS Azure Azure Machine Learning ORGANIZATION SIZE 10,000+ employees COUNTRY United Kingdom BUSINESS NEED Artifi…
Deployment options
cloud
…rust Discover more details CUSTOMER Northumbria Healthcare NHS Foundation Trust PRODUCTS Azure Azure Machine Learning ORGANIZATION SIZE 10,000+ employees COUNTRY United Kingdom BUSINESS NEED Artifi…
