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48% Reduction in Falls - 22-month clinical study findingsDownload
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Produce world leading research

Oxehealth’s dream is to help clinicians save lives and improve healthcare for everyone.
By digitising contact-free vital sign and behaviour biomarkers for the first time and providing a secure, privacy-controlled and ethically governed system of record, the Oxevision platform provides a unique research resource.
Work

The Oxehealth Clinical Research Forum exists to:

01
Partner with clinical practitioners and researchers to deliver clinical studies that evidence novel risk factors and early warning signs to enable the development of additional alerts and reports for clinical staff.
02
Make it as easy as possible for third party researchers to publish independent research powered by the Oxevision platform.
03
Convene working groups and conferences at which clinicians can share evidence-based nursing best practices and advance the theory and practice of vision based patient monitoring and management.
Having carried out research in the field since 2012, we have identified five research streams that are crucial to delivering safer, higher quality and more efficient in patient and residential care.

We are actively pursuing research within all five streams and are always open to partnering with clinical teams and academic institutions alike

What safety indicators can be derived from the Oxehealth Service and how can they best support care delivery?


Professor John Geddes, Alvaro Barrera et al, writing in BMJ Evidence Based Mental Health:

"Have shown that use of Oxehealth Vital Signs maintains the safety on the ward but enables patients to get a better night’s sleep."

Consequently, our work on safety currently focus on two main sub themes:

  • Working to improve risk assessment and the tools we provide clinicians to take safety observations without disturbing patients and measuring the benefit to patient experience, recovery and length of stay that these tools bring 
  • Systematic data gathering to understand risk factors and early warning signs of self harm, suicide and aggression to improve tooling and protocols to reduce these tragedies.


We also work closely with groups improving seclusion safety and experience.


We are keen to work with groups working on subjects such as zero suicide, reducing restrictive practice and improving observation regimes in mental health and general medicine.

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What cardio-respiratory measurements can be derived from video and how can they best support care delivery?


Clinicians make wide-ranging use of pulse and breathing rate provided by Oxevision so we collaborate on a wide range of studies in this theme.


Particular areas of clinical engineering focus for us are:

  • The tracking of infection including COVID-19 working with Professor Mike Polkey and his team at the Royal Brompton Hospital
  • Establishing the value of tracking vital signs and activity in improving resident health and experience of care, and minimising hospitalisation, in care homes


We are open to collaborating with groups rethinking care delivery across inpatient and residential care settings. 

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What sleep measurements can be derived from video and how can they best support care delivery?


Sleep is crucial to well being and recovery in the patient groups our customers service. Oxevision provides ground-breaking contact free insight into sleep opportunity.  We see tremendous opportunity to provide far greater insight into sleep quality and abnormal breathing phenomena using the Oxevision platform.


We have a powerful, longstanding research project into sleep monitoring and sleep apnea detection working with Professor Mike Polkey and his sleep lab team at Royal Brompton and Harefield NHS Foundation Trust.


We would in particular welcome collaborations with practicing physicians working to track and improve sleep on active wards.

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What frailty measurements can be derived from video and how can they best support care delivery?


The Oxehealth Service has helped clinicians to reduce falls in a dementia-care ward by 48%.  Oxehealth’s vital signs and activity alerts and team of computer vision and machine learning research engineers offer an exciting opportunity to create tools that reliably identify frailty risk factors and earlier warning signs for falls and other frailty-related incidents.


Working with Dr Jordan Bowen and the gerontology team at the John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, our live studies in this area focus on: 

  • Assessing the benefits of deploying Oxehealth in acute hospital step down wards 
  • Investigating the benefits of integrating hospital and care home teams to enable in stepping patients down from acute care faster 
  • The improvements in safety, quality and efficiency that measuring pulse and breathing rate more frequently in care homes can deliver


We would particularly welcome collaborations to research gait, the quantification of frailty measures and work to create a proxy Barthel scale using computer vision.

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How are vision-based monitoring and management tools best integrated into care delivery?


Professor Lionel Tarassenko and the Oxehealth team, working with practising Nursing Directors Tracey Wrench of RDASH and Ade Odunlade of CNWL have seeded the field of vision-based patient monitoring and management* and welcome collaboration from interested academics and practitioners.  


In advancing the theory and practice of data-enabled care, we aim to answer two fundamental questions:

  1. How are vision-based patient monitoring and management tools best integrated into care delivery?
  1. How can clinicians and care leaders rapidly obtain a step change and thereafter continuous improvement in the safety, quality and efficiency of care by deploying vision-based patient monitoring and management tools?


Areas of live study include assessing patient and staff experience and documenting success factors for the successful introduction of vision-based patient monitoring and management tools.

*Vision-based patient monitoring and management Lloyd-Jukes, Gibson, Wrench, Odunlade, Tarassenko due for publication in the Journal of Clinical Engineering in January 2021
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