Artificial Intelligence in Laboratory Information Management
3 days|Delivered on request
This programme examines how the practice is shifting, and what delegates should adopt, adapt or ignore. It works through data integrity and accreditation preparation as they stand today and where they are heading. The shift is worth understanding because an accreditation finding can stop a laboratory trading in a way no other quality failure does. Delegates leave able to work confidently with root cause analysis, non-conformance management and technical record keeping in their own organisation.
What delegates leave able to do
- Review root cause analysis and say plainly whether it is working, measured against ISO 9001
- Bring non-conformance management into line with current good practice
- Take ownership of technical record keeping rather than escalating it
- Improve measurement uncertainty within their own organisation
What the course covers
- Data integrity
- Accreditation preparation
- Root cause analysis
- Non-conformance management
- Technical record keeping
- Measurement uncertainty
- Internal auditing
Who should attend
- laboratory supervisors
- laboratory managers
- quality managers
- quality assurance officers
