European mHealth Hub | AI powered platforms for management of hospital readmission.

10 May AI powered platforms for management of hospital readmission.

Posted at 14:23h in Artificial Intelligence (AI) by Fran 0 Comments

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Approach or solution
Chronic Obstructive Pulmonary Disease (COPD) affects 1.2 millions in UK and is a second common reason for admission to emergency in UK. NHS Greater Glasgow and Clyde, the largest health board in the UK in partnership with KenSci is pioneering an AI solution to spot trends in patients suffering with COPD. The solution offered by Kensci through AI technology can relief the burden on emergency hospital admissions by predicting what could happen to patients with COPD., The programs attempt to scale up to 400 patients bringing to NHS a cost saving of £1.2 millions in treating patients with chronic conditions..

Approach or solution

Chronic Obstructive Pulmonary Disease (COPD) affects 1.2 millions in UK and is a second common reason for admission to emergency in UK. NHS Greater Glasgow and Clyde, the largest health board in the UK in partnership with KenSci

is pioneering an AI solution to spot trends in patients suffering with COPD. The solution offered by Kensci through AI technology can relief the burden on emergency hospital admissions by predicting what could happen to patients with COPD., The programs attempt to scale up to 400 patients bringing to NHS a cost saving of £1.2 millions in treating patients with chronic conditions..

Organisation or initiative
NHS Greater Glasgow and Clyde

URL or reference
https://www.kensci.com/solutions/medical-devices/#ChildVerticalTab_12 https://customers.microsoft.com/en-us/story/nhs-glasgow-clyde-uses-microsoft-ai

URL or reference

https://www.kensci.com/solutions/medical-devices/#ChildVerticalTab_12

https://customers.microsoft.com/en-us/story/nhs-glasgow-clyde-uses-microsoft-ai

Summary of the innovation
The solution gathers patient data from symptom diaries, activity monitors, and from the ventilation treatment. The AI algorithms are analysing these data and look proactively in the future to identify patterns and risks in patient conditions. Doctors receive alerts and as such they can remotely spot trends in patients suffering with COPD and change the patient treatment proactively, reducing the number of hospital admissions. In the same time patient is enabled to monitor their own symptoms. The platform is developed by KenSci and offers HL7 and other format-compliant APIs to provide predictive and prescriptive insights that are then inserted directly into clinical workflows and EMR systems. It The platform works with interpretable machine learning models that provides reasons for those predictions. It is hosted in a secured Cloud environment that allows scale up and integration of services that could apply to other long-term conditions such as diabetes and cancer.

Summary of the innovation

The solution gathers patient data from symptom diaries, activity monitors, and from the ventilation treatment. The AI algorithms are analysing these data and look proactively in the future to identify patterns and risks in patient conditions. Doctors receive alerts and as such they can remotely spot trends in patients suffering with COPD and change the patient treatment proactively, reducing the number of hospital admissions. In the same time patient is enabled to monitor their own symptoms. The platform is developed by KenSci and offers HL7 and other format-compliant APIs to provide predictive and prescriptive insights that are then inserted directly into clinical workflows and EMR systems. It The platform works with interpretable machine learning models that provides reasons for those predictions. It is hosted in a secured Cloud environment that allows scale up and integration of services that could apply to other long-term conditions such as diabetes and cancer.

Use cases supported
Remotely monitor chronic patients with predictive risk identification of ER visits and risk of readmission Optimizing hospital workflows

10 May AI powered platforms for management of hospital readmission.

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