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Clinical Risk Management Training

Clinical risk management training is designed to provide NHS organisations and manufacturers of health IT products with training in the principles of safety, risk management and risk mitigation.

Assuring AI in Healthcare (25 November 2020, 10am-4pm)

This course, delivered by the University of York and NHS Digital, aims to give those working in Health IT and clinical risk management an understanding of AI within a Healthcare setting.

 

Read more about this course

Clinical risk management training is designed to provide health and social care organisations and manufacturers of health IT products with training in the principles of safety, risk management and risk mitigation, all within the context of health IT by implementing the safety standards, DCB0129 and DCB0160.

The course is split into two parts. The first part is an online e-learning course, comprising of the following 8 sessions:

Session 1 - Introduction to clinical safety and safety standards
Session 2 - Clinical risk management system 
Session 3 - Clinical risk management process: activities 
Session 4 - Clinical risk management process: deliverables 
Session 5 - Hazard assessment 
Section 6 - Deployment, use and decommissioning 
Session 7 - Clinical safety incidents 
Session 8 - Assessment module 

The second part is a one-day, classroom based, workshop style of learning, designed to help achieve understanding of how to apply the theory in working practices and support within the role of Clinical Safety Officer. This course is called the Foundation Course.

Completion of the e-learning and the face-to-face sessions are worth 14 continuing professional development (CPD) points.

Part one of the Foundation Course (the e-learning modules) can be accessed for FREE by anyone with an NHS email account.

Those without an NHS email account can purchase access to the e-learning.

Those with an NHS email address can access any e-Learning for Healthcare (e-LfH) programme with an e-LfH account. If you don't have one, then you can register by selecting the 'Register' button on the right hand side of the e-LfH homepage.

If you already have an account with e-LfH, then you can enrol on the Clinical Safety Programme by logging in to the e-LfH hub, selecting My Account > Enrolment and selecting the Clinical Risk Management programme. You can then access the Clinical Risk Management e-Learning sessions immediately in the My e-Learning section.

For those who are in, or joining, a CSO role, further training is required once the e-learning has been successfully completed with a pass achieved. This course is also suitable for non-clinicians supporting health IT.

The Foundation Course provides the knowledge and tools to achieve compliance with the safety standards and empower clinical safety officers to sign off and approve safety documentation.

The courses are held for one day from 9am - 4.30pm. Completion of the e-Learning is essential prior to attending the workshop. A copy of the e-Learning pass certificate should be sent to clinicalsafety.training@nhs.net prior to attendance.

Cost

NHS: £475

Commercial: £625

This price does not include VAT applicable to non-NHS organisations.

2020 courses:

  •  7 July -  Virtual
  • 21 July - Virtual
  • 8 September - Virtual
  • 15 October - Virtual 
  • 12 November - Virtual
  • 8 December - Virtual

2021 courses:

  • 21 January - Virtual
  • 23 February - Virtual
  • 25 March - Virtual

Register on the Foundation course

In line with Covid-19 guidance courses are being delivered virtually. A link to access the virtual course will be sent at least 2 weeks before.

The Clinical Safety Community of Interest Course (CSCOI), previously known as the Revalidation Course, contains:

  • a stronger emphasis on sharing best practice and networking
  • case studies presented by members of the clinical safety community
  • recent developments in health IT, including a key speaker where possible

There will also be a recap of the key requirements outlined in DCB0129 and DCB0160

This course is for both clinicians and non-clinicians. Clinicians attending this course will be issued with 6.5 CPD points.

This is a one day course from 9am - 4.30pm.

Cost

NHS: £225      

Commercial: £325

This price does not include VAT applicable to non-NHS organisations .

2020 courses:

Date Speakers Location
4 February 2020

Case Study (1) Owen Johnson, Senior Fellow, School of Computing, University of Leeds

Case Study (2) Paul Miller, Digital Lead, NES Digital Service

Case Study (3) Ros Causey, CSO

The Queens, Leeds
15 September 2020

Case Study (1) Angela Cook, CSO, Shropshire Community Health NHS Trust

Case Study (2) Jo Elliott, Clinical Head of Systems and Processes, Dorset NHS Foundation Trust

Case Study (3) Katrina Herren, CCIO, EXPERT-24

Virtual

 

24 November 2020 TBC Virtual

Register on the CSCOI course

Bespoke courses

The Clinical Safety team are able to arrange a bespoke, closed course for your organisation where there is a sufficient number of delegates (min 10 max 20) This can be for either the Foundation or CSCOI course.

These will be held at a premises of your arrangement. Please email clinicalsafety.training@nhs.net for further information or to discuss a quote.

This is a 1 hour lunch and learn designed for top management of Health IT manufacturers and health organisations.

This will give top management an understanding of roles, responsibilities and actions required for an organisation to be compliant with the clinical risk management standards. We will discuss the benefits that this can have for an organisation.

Register to join the virtual session- FREE

This course will be delivered by the University of York and NHS Digital and aims to give those working in Health IT and clinical risk management an understanding of AI within a Healthcare setting. This will be delivered using a blended learning approach. One week before the course you will be sent a link to a set of video presentations which you can watch in your own time. On the day of the course we will be running these video presentations with live chat enabled with the presenters. We will also be running live Q&A sessions after each presentations and discussing related scenarios and examples.

Agenda

10.00 – 11.00 Block A: Introduction to challenges of AI in health and social care
Introduction to Safe Artificial Intelligence and Autonomy 
Q&A and Scenario discussion (radiologist)

11.10 to 13.00 - Block B: Introduction to ML in a clinical setting
Fundamentals of Machine Learning (ML) - Q&A
Applications of ML - Q&A
Retinal Example of Using ML in health care – Q & A and Discussions

13.30 to 15.00 Block C: Safety assurance of ML in a clinical setting
Assurance of Machine Learning in Autonomous Systems (AMLAS) & ML Safety Case -  Q&A
ML safety requirements & data management - Q&A
ML training and verification - Q & A and Discussions

15.10 to 16.00 Block D: Safety Cases for ML in a clinical setting

 

A certificate will be issued on completion of the course.

Cost: £300

VAT will be applied for Non-NHS organisations.

Register on the Assuring AI in Healthcare course.

A series of new modules have been launched to support the Clinical Risk Management e-learning programme. The modules have been created by NHS Digital’s Clinical Safety team and Health Education England e-Learning for Healthcare (HEE e-LfH).

The programme is designed to support health and social care organisations, as well as health IT manufacturers with safety, risk management and risk mitigation training.

This is all delivered within the context of health IT by implementing the safety standards, DCB0129 and DCB0160.

These safety standards bring clinical risk management and the need for clinical safety cases to the forefront of the development and use of health IT systems.

Community of interest

Session 1 - SMART
Session 2 - Applications and wearables
Session 3 - Software as a Medical Device

Best practice guidelines

Session 1 - Telehealth
Session 2 - Safety Critical Systems

Training and quality Improvement 4 star badge assurance mark

Further information

Last edited: 5 October 2020 3:27 pm