CHART-ADAPT - Version 1
Research type
Research Study
Full title
Connecting Healthcare and Research Through A Data Analysis Provisioning Technology (CHART-ADAPT)
IRAS ID
166504
Contact name
John Kinsella
Contact email
Sponsor organisation
NHS Greater Glasgow and Clyde
Duration of Study in the UK
1 years, 3 months, 1 days
Research summary
The increasing digitalization of healthcare in fields such as Critical Care has led to the development of technology that is able to collect and store vast amounts of complex patient data. This data is valuable as it can be used to create important physiological models which can inform clinical practice.
The aim of this project is to develop innovative prototype software which will enable these models and analyses to be implemented quicker into clinical practice. This will provide the basis for better treatment and more cost effective healthcare by closing the loop between clinical research and practice. This will be achieved by:
1) Enabling the extraction of high frequency patient data from in-hospital patient monitoring equipment.
2) Annonymisation of the extracted data.
3) Linking a data exploration platform to a high performance data analysis platform thus allowing rapid application of clinical analysis algorithms and the integration of "Apps" to enable clinicians to control the analysis.
4) Delivery of the results of analyses back at the patient bedside. These results will not be visible to the staff caring for the patient and will not influence patient treatment.
As part of the evaluation of this project, we plan to demonstrate the potential clinical utility of the platform in patients with traumatic brain injury (TBI). There have been few evidence based non-surgical therapies for TBI. What is needed is a step change in approach that brings recent advances in large data modelling directly into clinical practice. This may facilitate detection and early prediction of physiological complications of brain injury and thus new treatment approaches.
The platform will use the data collected to answer two important clinical questions:
1) What is the burden of low blood pressure in neuro ICU patients?
2) What is the best physiological model to monitor how well blood flow is maintained to the injured brain?
REC name
West of Scotland REC 5
REC reference
15/WS/0222
Date of REC Opinion
27 Oct 2015
REC opinion
Favourable Opinion