Set acceptance criteria for patient data personalisation before work begins rather than after.
Analysing Patient Data to Personalise Health Services
Learn to design, measure and defend your organisation's approach to patient data personalisation.
📍 Abu Dhabi🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Cost pressure and quality expectations on patient data personalisation are rising at the same time. Clinical staff will work around a process for this aspect of health and pharmaceutical services that obstructs care, and they will be right to. It treats the wider health and pharmaceutical services agenda as an operating discipline and equips participants to run it as one. Field experience suggests that the barrier to better patient data personalisation is rarely technical. The content is relevant to those who own the practice within health and pharmaceutical services and to those who are held accountable for its results. They acquire practical criteria for judging when the health and pharmaceutical services capability is working and when it is only appearing to. The version of patient data personalisation described in the manual and the version practised on the floor tend to diverge over time. Work is grounded in real cases drawn from the health and pharmaceutical services discipline, which each participant adapts to conditions in their own organisation. It ends with a prioritised list of changes to this strand of health and pharmaceutical services that the participant is prepared to defend internally.
Expected Learning Outcomes
Prepare the documented evidence accreditation assessors expect on patient data personalisation.
Build informed consent and ethics practice into patient data personalisation.
Protect patient confidentiality and data within patient data personalisation.
Set a realistic target state for patient data personalisation and a defensible route to it.
Compare the organisation's handling of patient data personalisation with recognised practice, and close the material gaps.
Build continuing professional development sustaining competence in patient data personalisation.
Who Should Attend
Medical directors overseeing clinical governance of patient data personalisation.
Hospital and health facility managers accountable for patient data personalisation.
Technical staff being prepared for supervisory responsibility over patient data personalisation.
Quality and patient safety officers monitoring patient data personalisation.
Supply chain and biomedical staff supporting patient data personalisation.
Consultants and advisers supporting clients on patient data personalisation.
Course Modules
Patient data personalisation: quality indicators and patient outcome
2 sessions · 8 pointsSession 1Designing patient data personalisation so it helps rather than obstructs care
- Cost patient data personalisation per episode and identify avoidable waste.
- Set out the decisions in patient data personalisation that require sign-off and by whom.
- Reduce unwarranted variation in patient data personalisation between shifts and sites.
- Assemble the accreditation evidence pack for patient data personalisation.
Session 2Getting other functions to support patient data personalisation
- Test the procedure for patient data personalisation against a realistic scenario.
- Identify the data already collected that bears on patient data personalisation.
- Check that records of patient data personalisation answer the questions likely to be asked.
- Prepare the summary of patient data personalisation that senior management will read.
Patient data personalisation: supply, cold chain and availability
2 sessions · 8 pointsSession 1What to measure in patient data personalisation and what to ignore
- Establish what evidence demonstrates patient data personalisation is under control.
- Assign responsibility for keeping documentation of patient data personalisation current.
- Benchmark the organisation's patient data personalisation against comparable operations.
- Match staffing levels on patient data personalisation to measured demand across the week.
Session 2Testing patient data personalisation before relying on it
- Check that consent processes within patient data personalisation are genuinely informed.
- Verify cold chain and storage conditions for materials used in patient data personalisation.
- Confirm that contractual obligations around patient data personalisation are understood.
- Close the loop: confirm changes to patient data personalisation improved the indicator they targeted.
Patient data personalisation: clinical process design and workflow
2 sessions · 8 pointsSession 1Infection risk created by patient data personalisation
- Apply structured root cause analysis to the last adverse event involving patient data personalisation.
- Confirm licensing and regulatory requirements applying to patient data personalisation are met.
- Write down the assumptions underpinning the approach to patient data personalisation.
- Plan continuity of patient data personalisation during surge and outbreak conditions.
Session 2The evidence assessors will ask for on patient data personalisation
- Confirm competence and continuing development for staff delivering patient data personalisation.
- Map the clinical workflow for patient data personalisation as it is actually performed.
- Record the rationale for each significant choice made about patient data personalisation.
- Agree what will be standardised in patient data personalisation and what will not.
Patient data personalisation: incident reporting, investigation and learning
2 sessions · 8 pointsSession 1Matching staffing on patient data personalisation to real demand
- Audit patient data personalisation by observing practice, not by reading policy.
- Select quality indicators for patient data personalisation that measure outcome rather than activity.
- Arrange the handover of patient data personalisation so capability survives staff changes.
- Identify infection transmission risks created by patient data personalisation and control them.
Session 2What patients actually experience during patient data personalisation
- Build medication safety checks into patient data personalisation at the point of highest risk.
- Confirm that reporting on patient data personalisation reaches the people who can act.
- Agree the smallest change to patient data personalisation that would be visibly useful.
- Compare the cost of patient data personalisation with the cost of its absence.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Complete your registration
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