Estimate what large-scale health analytics costs to run properly, and what is lost when it is not.
Managing Large-Scale Health Data Analytics
An applied course in large-scale health analytics built around the decisions practitioners actually face.
📍 Istanbul🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Cost pressure and quality expectations on large-scale health analytics 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. The programme takes participants through the wider health and pharmaceutical services agenda end to end, from framing the problem to closing it out. The version of large-scale health analytics described in the manual and the version practised on the floor tend to diverge over time. Applied research in health and pharmaceutical services consistently shows that early structure around this strand of health and pharmaceutical services reduces downstream rework. The programme uses small-group work so that each participant's treatment of the practice within health and pharmaceutical services is examined, not just described. Participants develop a defensible line of reasoning for the choices they make about large-scale health analytics. It suits anyone whose decisions touch this strand of health and pharmaceutical services, in large organisations and small ones alike. Work concludes with a self-assessment of this part of health and pharmaceutical services that participants can repeat annually.
Expected Learning Outcomes
Assess the current state of large-scale health analytics against a structured set of criteria rather than impressions.
Control cost per episode within large-scale health analytics without shifting risk to patients.
Audit large-scale health analytics in practice, not only in policy.
Plan continuity of large-scale health analytics during surge, outbreak and emergency.
Apply root cause analysis to adverse events involving large-scale health analytics.
Build a concise clinical protocol for large-scale health analytics that colleagues can follow without further explanation.
Who Should Attend
Training and development staff building internal capability in large-scale health analytics.
Accreditation and compliance officers preparing evidence on large-scale health analytics.
Nursing managers and clinical supervisors delivering large-scale health analytics.
Anyone whose accountability for large-scale health analytics exceeds their current formal training in it.
Health information and records staff supporting large-scale health analytics.
Clinical department heads responsible for large-scale health analytics.
Course Modules
Large-scale health analytics: infection prevention and patient safety
2 sessions · 8 pointsSession 1The cost of large-scale health analytics and how to present it
- Establish who is informed, consulted and accountable in large-scale health analytics.
- Write down the assumptions underpinning the approach to large-scale health analytics.
- Reduce unwarranted variation in large-scale health analytics between shifts and sites.
- Map the clinical workflow for large-scale health analytics as it is actually performed.
Session 2Keeping large-scale health analytics alive after the initial push
- Cost large-scale health analytics per episode and identify avoidable waste.
- Confirm the incident reporting route for large-scale health analytics is quick and non-punitive.
- Identify infection transmission risks created by large-scale health analytics and control them.
- Draft the minimum viable clinical protocol for large-scale health analytics.
Large-scale health analytics: regulation, licensing and accreditation evidence
2 sessions · 8 pointsSession 1Designing large-scale health analytics so it helps rather than obstructs care
- Measure patient experience of large-scale health analytics and feed it back to the team.
- Select quality indicators for large-scale health analytics that measure outcome rather than activity.
- Close out actions on large-scale health analytics rather than leaving them open indefinitely.
- Audit large-scale health analytics by observing practice, not by reading policy.
Session 2Choosing indicators for large-scale health analytics that reflect outcome
- Define the trigger that would require large-scale health analytics to be redesigned.
- Arrange the handover of large-scale health analytics so capability survives staff changes.
- Agree the smallest change to large-scale health analytics that would be visibly useful.
- Define escalation criteria for deterioration detected through large-scale health analytics.
Large-scale health analytics: quality indicators and patient outcome
2 sessions · 8 pointsSession 1Infection risk created by large-scale health analytics
- Decide what will be stopped to create capacity for large-scale health analytics.
- Identify single points of dependency in large-scale health analytics and reduce them.
- Build medication safety checks into large-scale health analytics at the point of highest risk.
- Check that consent processes within large-scale health analytics are genuinely informed.
Session 2Consent, confidentiality and ethics in large-scale health analytics
- Confirm that reporting on large-scale health analytics reaches the people who can act.
- Set the review interval for large-scale health analytics and who attends.
- Compare the cost of large-scale health analytics with the cost of its absence.
- Identify where judgement in large-scale health analytics is legitimate and where it is not.
Large-scale health analytics: confidentiality, consent and ethics
2 sessions · 8 pointsSession 1Auditing large-scale health analytics at the bedside, not in the binder
- Benchmark the organisation's large-scale health analytics against comparable operations.
- Record the rationale for each significant choice made about large-scale health analytics.
- Identify the data already collected that bears on large-scale health analytics.
- Confirm patient data handled within large-scale health analytics meets confidentiality obligations.
Session 2Reading the current state of large-scale health analytics honestly
- Close the loop: confirm changes to large-scale health analytics improved the indicator they targeted.
- Plan continuity of large-scale health analytics during surge and outbreak conditions.
- Confirm licensing and regulatory requirements applying to large-scale health analytics are met.
- Verify cold chain and storage conditions for materials used in large-scale health 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
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