Using Predictive Analytics in Health Risk Management

Develop the judgement and the documentation needed to run predictive health risk analytics properly.

📍 Tripoli🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points

Course Overview

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

01

Plan staffing and rota cover appropriate to demand in predictive health risk analytics.

02

Audit risk analytics in practice, not only in policy.

03

Verify that improvements to predictive health risk analytics have held six months after they were introduced.

04

Establish what evidence would demonstrate that risk analytics is under control.

05

Design escalation for clinical deterioration detected through predictive health risk analytics.

06

Sequence improvements to risk analytics so that each step makes the next one easier.

07

Build continuing professional development sustaining competence in predictive health risk analytics.

Who Should Attend

01

Supply chain and biomedical staff supporting predictive health risk analytics.

02

Risk managers assessing the exposure created by risk analytics.

03

Public sector officials applying predictive health risk analytics within a regulated framework.

04

Finance managers costing services delivered through risk analytics.

05

Infection prevention and control practitioners covering predictive health risk analytics.

06

Hospital and health facility managers accountable for risk analytics.

Course Modules

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.

Session 2Medication safety checkpoints inside risk analytics

  • Plan continuity of predictive health risk analytics during surge and outbreak conditions.
  • Define the trigger that would require risk analytics to be redesigned.
  • Confirm the incident reporting route for predictive health risk analytics is quick and non-punitive.
  • Define escalation criteria for deterioration detected through risk analytics.

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

We will contact you within one business day to confirm.