Using AI to empower healthcare professionals to improve quality and safety of care

Work with us to ensure that clinical AI systems are designed, deployed and used effectively, safely and ethically, for the benefit of clinicians and patients.

Knowledge Engineering

A different kind of AI, a new kind of medical and healthcare publishing

Challenge

The key challenge for medical AI is to help improve quality and safety of service delivery across healthcare, and mitigate the ever-increasing burdens on clinicians and recognised concerns for quality and safety of health services worldwide.

Concept

The OpenClinical community is developing an open access and open source repository of “executable” guidance for clinicians and researchers. OpenClinical is a repository of executable models called publets – a new way of using AI to provide patient-specific assistance, and add value to traditional guidelines.

Mission

OpenClinical aims to empower healthcare professionals and others to use knowledge engineering  to create and share AI models of best practice, for review and research by the community, to improve quality and safety across health and social care.

AI is not just about data; understanding the knowledge and expertise behind clinical practice is key to delivering AI’s many benefits into the care setting

A learning health system

Traditional clinical guidelines are a major resource but take huge effort to prepare and maintain. Our knowledge engineering methods and tools can rapidly transform guidelines into point of care systems and learn from patient outcomes in real time.

OpenClinical is positioned at the hub of 4 key knowledge and data ecosystems

Scientists, clinicians and care quality professionals now have a new way of disseminating best practice as executable knowledge models. This content can be used in a wide range of applications and adapted for different settings.

Tools and methods

Use our tools for your research and development project

Take the modelling course (you don’t need to be a programmer!)

Develop, test and publish your model for others to review, validate, enhance …

Repertoire

OpenClinical’s repository of knowledge models is open access for all and open source for members; the first release included more than 50 training examples and demonstrators and a growing library of reusable components.

Public Resource

Repertoire is a public resource to help clinicians and scientists share knowledge of best practice using AI to improve quality and safety during a process of care.

Membership

Registered OC.net members can “enact” a Repertoire application for research and other non-commercial purposes.

License and Download

Members can also license and download the knowledge base of a publet from Repertoire to create a version for their local requirements or research.

During the launch phase of OpenClinical publets are available for research and review purposes only. Publets must not be used in any role that might affect someone’s care except under an ethically approved protocol.

Get Involved

Users

Join OpenClinical to get up to speed and keep track of new developments.

Authors

Use our tools for creating executable models of care.

Researchers

Researchers can use the OpenClinical platform to evaluate, trial and report results of your AI models.

Partners

Invest with us to develop the business models that will make OpenClinical scalable and sustainable.

Supported By

Our Team

Prof. John Fox PhD

Founder Director and Chairman

Matthew South PhD

Technical Director co-founder

Peter Ashby BA FRSA

Publishing and Commercial Director

Krish Nirantharakumar MD

Medical Director

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