Build a register of the risks attaching to big data for patient outcomes and keep it current.
Deploying Big Data Analytics to Improve Patient Outcomes
A senior-level treatment of big data for patient outcomes, focused on what changes outcomes.
📍 Cairo🗓️ 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 big data for patient outcomes that obstructs care, and they will be right to. Accreditation bodies assess patient outcomes on documented evidence of consistent practice. It is appropriate for those preparing to take on wider responsibility for this aspect of health and pharmaceutical services. Applied research in health and pharmaceutical services consistently shows that early structure around big data for patient outcomes reduces downstream rework. It treats the health and pharmaceutical services discipline as an operating discipline and equips participants to run it as one. Participants gain a clear basis for measuring what patient outcomes has actually achieved. Cases are chosen to expose the trade-offs in big data for patient outcomes rather than to illustrate ideal conditions. The version of patient outcomes described in the manual and the version practised on the floor tend to diverge over time. The programme closes with an action plan for this aspect of health and pharmaceutical services that each participant writes for their own organisation.
Expected Learning Outcomes
Build the quality indicators for patient outcomes that reflect patient outcome, not activity.
Design escalation for clinical deterioration detected through big data for patient outcomes.
Review contracts and agreements for the obligations they create around patient outcomes.
Build informed consent and ethics practice into big data for patient outcomes.
Control cost per episode within patient outcomes without shifting risk to patients.
Integrate big data for patient outcomes into existing management routines rather than running it separately.
Who Should Attend
Quality and patient safety officers monitoring big data for patient outcomes.
Operations staff who encounter the consequences of patient outcomes directly.
Medical directors overseeing clinical governance of big data for patient outcomes.
Infection prevention and control practitioners covering patient outcomes.
Newly appointed managers taking on big data for patient outcomes for the first time.
Pharmacists and pharmacy managers involved in patient outcomes.
Course Modules
Big data for patient outcomes: quality indicators and patient outcome
2 sessions · 8 pointsSession 1Matching staffing on big data for patient outcomes to real demand
- Write down the assumptions underpinning the approach to big data for patient outcomes.
- Check that consent processes within patient outcomes are genuinely informed.
- Reduce unwarranted variation in big data for patient outcomes between shifts and sites.
- Define escalation criteria for deterioration detected through patient outcomes.
Session 2Building the method for patient outcomes step by step
- Define acceptance criteria for big data for patient outcomes in advance.
- Confirm patient data handled within patient outcomes meets confidentiality obligations.
- Assign responsibility for keeping documentation of big data for patient outcomes current.
- Close out actions on patient outcomes rather than leaving them open indefinitely.
Patient outcomes: infection prevention and patient safety
2 sessions · 8 pointsSession 1Investigating an adverse event involving patient outcomes
- Assemble the accreditation evidence pack for big data for patient outcomes.
- Apply structured root cause analysis to the last adverse event involving patient outcomes.
- Cost big data for patient outcomes per episode and identify avoidable waste.
- Confirm the incident reporting route for patient outcomes is quick and non-punitive.
Session 2Who answers for patient outcomes, and to whom
- Reduce the variation in how big data for patient outcomes is carried out between teams.
- Map the handovers in patient outcomes between functions and secure them.
- Set escalation thresholds for big data for patient outcomes that work out of hours.
- Build medication safety checks into patient outcomes at the point of highest risk.
Patient outcomes: medication and treatment safety
2 sessions · 8 pointsSession 1Consent, confidentiality and ethics in patient outcomes
- Plan continuity of big data for patient outcomes during surge and outbreak conditions.
- Record what was learned when patient outcomes did not go as planned.
- Identify infection transmission risks created by big data for patient outcomes and control them.
- Rehearse the briefing on patient outcomes that would follow an incident.
Session 2Testing big data for patient outcomes before relying on it
- Set out the decisions in big data for patient outcomes that require sign-off and by whom.
- Check that patient outcomes still works when volumes rise unexpectedly.
- Verify cold chain and storage conditions for materials used in big data for patient outcomes.
- Confirm that reporting on patient outcomes reaches the people who can act.
Patient outcomes: incident reporting, investigation and learning
2 sessions · 8 pointsSession 1Designing patient outcomes so it helps rather than obstructs care
- Build the competence framework that supports big data for patient outcomes.
- Confirm licensing and regulatory requirements applying to patient outcomes are met.
- Map the clinical workflow for big data for patient outcomes as it is actually performed.
- Close the loop: confirm changes to patient outcomes improved the indicator they targeted.
Session 2Medication safety checkpoints inside patient outcomes
- Identify where judgement in big data for patient outcomes is legitimate and where it is not.
- Test the procedure for patient outcomes against a realistic scenario.
- Audit big data for patient outcomes by observing practice, not by reading policy.
- Prepare the response for the most likely failure in patient outcomes.
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.