Clinical staff will work around a process for predictive health risk analytics that obstructs care, and they will be right to. In healthcare, a weakness in risk analytics is eventually paid for by a patient. Organisations that document the health and pharmaceutical services capability properly resolve disputes about it far more quickly. Moving predictive health risk analytics from written policy into daily practice is not achieved by a single decision. Participants gain a realistic view of what this aspect of health and pharmaceutical services costs and what it returns. It suits anyone whose decisions touch risk analytics, in large organisations and small ones alike. Every module pairs a short input on predictive health risk analytics with structured practice on the participant's own material. The programme takes participants through risk analytics end to end, from framing the problem to closing it out. Participants finish with a short, specific brief on this area of health and pharmaceutical services ready to put in front of a decision maker.
Expected Learning Outcomes
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Plan staffing and rota cover appropriate to demand in predictive health risk analytics.
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Audit risk analytics in practice, not only in policy.
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Verify that improvements to predictive health risk analytics have held six months after they were introduced.
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Establish what evidence would demonstrate that risk analytics is under control.
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Design escalation for clinical deterioration detected through predictive health risk analytics.
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Sequence improvements to risk analytics so that each step makes the next one easier.
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Build continuing professional development sustaining competence in predictive health risk analytics.
Who Should Attend
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Supply chain and biomedical staff supporting predictive health risk analytics.
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Risk managers assessing the exposure created by risk analytics.
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Public sector officials applying predictive health risk analytics within a regulated framework.
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Finance managers costing services delivered through risk analytics.
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Infection prevention and control practitioners covering predictive health risk analytics.
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Hospital and health facility managers accountable for risk analytics.
Course Modules
Open any module to see its sessions and topics.
01
Predictive health risk analytics: clinical process design and workflow
2 sessions · 8 points
Session 1The evidence assessors will ask for on predictive health risk analytics
Reduce unwarranted variation in predictive health risk analytics between shifts and sites.
Verify six months later that changes to risk analytics have held.
Plan the sequence in which improvements to predictive health risk analytics will be introduced.
Confirm that contractual obligations around risk analytics are understood.
Session 2What patients actually experience during risk analytics
Rehearse the briefing on predictive health risk analytics that would follow an incident.
Assemble the accreditation evidence pack for risk analytics.
Close the loop: confirm changes to predictive health risk analytics improved the indicator they targeted.
Measure patient experience of risk analytics and feed it back to the team.
02
Risk analytics: medication and treatment safety
2 sessions · 8 points
Session 1The paperwork for risk analytics that is actually needed
Write down the assumptions underpinning the approach to predictive health risk analytics.
Confirm competence and continuing development for staff delivering risk analytics.
Record the rationale for each significant choice made about predictive health risk analytics.
Name a single owner for each element of risk analytics.
Session 2Keeping risk analytics alive after the initial push
Assign responsibility for keeping documentation of predictive health risk analytics current.
Test the procedure for risk analytics against a realistic scenario.
Remove steps in predictive health risk analytics that add effort without adding assurance.
Verify cold chain and storage conditions for materials used in risk analytics.
03
Risk analytics: quality indicators and patient outcome
2 sessions · 8 points
Session 1The cost of risk analytics and how to present it
Cost predictive health risk analytics per episode and identify avoidable waste.
Build medication safety checks into risk analytics at the point of highest risk.
Set out how exceptions to predictive health risk analytics are requested and approved.
Apply structured root cause analysis to the last adverse event involving risk analytics.
Session 2Infection risk created by predictive health risk analytics
Agree the smallest change to predictive health risk analytics that would be visibly useful.
Select quality indicators for risk analytics that measure outcome rather than activity.
Decide what will be stopped to create capacity for predictive health risk analytics.
Confirm that those complying with risk analytics understand why it exists.
04
Risk analytics: staffing, capacity and demand
2 sessions · 8 points
Session 1Consent, confidentiality and ethics in risk analytics
Rank the weaknesses in predictive health risk analytics by consequence rather than by ease of fixing.
Identify infection transmission risks created by risk analytics and control them.
Confirm licensing and regulatory requirements applying to predictive health risk analytics are met.
Audit risk analytics by observing practice, not by reading policy.
