Select indicators that show whether claims data analysis is improving, and reject those that only look useful.
Analysing Claims Data to Improve Financial Efficiency
A working programme in claims data analysis for managers who have to deliver with existing resources.
📍 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 claims data analysis are rising at the same time. Accreditation bodies assess the health and pharmaceutical services discipline on documented evidence of consistent practice. The result is the confidence to make and defend decisions about this strand of health and pharmaceutical services under scrutiny. Most organisations already have a policy on claims data analysis; far fewer can show it working. Participants test their assumptions about the wider health and pharmaceutical services agenda against scenarios designed to break weak ones. Applied research in health and pharmaceutical services consistently shows that early structure around this part of health and pharmaceutical services reduces downstream rework. The programme converts claims data analysis from an area of general awareness into a set of repeatable practices. The programme suits teams tackling this aspect of health and pharmaceutical services together as readily as individuals attending alone. Work concludes with a self-assessment of the practice within health and pharmaceutical services that participants can repeat annually.
Expected Learning Outcomes
Design a process for claims data analysis that clinical staff can follow without obstructing care.
Apply regulatory and licensing requirements governing claims data analysis.
Build informed consent and ethics practice into claims data analysis.
Identify the failure points in claims data analysis most likely to cause loss, and control them first.
Anticipate the objections that claims data analysis will attract internally and answer them in advance.
Design medication and treatment safety controls within claims data analysis.
Who Should Attend
Risk managers assessing the exposure created by claims data analysis.
Quality and patient safety officers monitoring claims data analysis.
Nursing managers and clinical supervisors delivering claims data analysis.
Pharmacists and pharmacy managers involved in claims data analysis.
Newly appointed managers taking on claims data analysis for the first time.
Hospital and health facility managers accountable for claims data analysis.
Course Modules
Claims data analysis: confidentiality, consent and ethics
2 sessions · 8 pointsSession 1Infection risk created by claims data analysis
- Close the loop: confirm changes to claims data analysis improved the indicator they targeted.
- Audit claims data analysis by observing practice, not by reading policy.
- Build medication safety checks into claims data analysis at the point of highest risk.
- Reduce the variation in how claims data analysis is carried out between teams.
Session 2What has to be agreed before work on claims data analysis starts
- Decide what will be stopped to create capacity for claims data analysis.
- Compare the cost of claims data analysis with the cost of its absence.
- Check that consent processes within claims data analysis are genuinely informed.
- Apply structured root cause analysis to the last adverse event involving claims data analysis.
Claims data analysis: medication and treatment safety
2 sessions · 8 pointsSession 1Making incident reporting on claims data analysis safe for staff
- Set out how exceptions to claims data analysis are requested and approved.
- Build the competence framework that supports claims data analysis.
- Measure patient experience of claims data analysis and feed it back to the team.
- Establish who is informed, consulted and accountable in claims data analysis.
Session 2Choosing indicators for claims data analysis that reflect outcome
- Match staffing levels on claims data analysis to measured demand across the week.
- Assemble the accreditation evidence pack for claims data analysis.
- Verify six months later that changes to claims data analysis have held.
- Reduce unwarranted variation in claims data analysis between shifts and sites.
Claims data analysis: quality indicators and patient outcome
2 sessions · 8 pointsSession 1Consent, confidentiality and ethics in claims data analysis
- Close out actions on claims data analysis rather than leaving them open indefinitely.
- Verify cold chain and storage conditions for materials used in claims data analysis.
- Confirm licensing and regulatory requirements applying to claims data analysis are met.
- Identify infection transmission risks created by claims data analysis and control them.
Session 2Keeping supply and cold chain reliable for claims data analysis
- Review whether claims data analysis is aligned with the objectives of the clinical service.
- Check that records of claims data analysis answer the questions likely to be asked.
- Define escalation criteria for deterioration detected through claims data analysis.
- Confirm competence and continuing development for staff delivering claims data analysis.
Claims data analysis: infection prevention and patient safety
2 sessions · 8 pointsSession 1The hard cases in claims data analysis and how to reason about them
- Plan continuity of claims data analysis during surge and outbreak conditions.
- Remove steps in claims data analysis that add effort without adding assurance.
- Rehearse the briefing on claims data analysis that would follow an incident.
- Agree the smallest change to claims data analysis that would be visibly useful.
Session 2Where claims data analysis typically breaks, and why
- Confirm patient data handled within claims data analysis meets confidentiality obligations.
- Agree the indicators that will show whether claims data analysis is improving.
- Identify the data already collected that bears on claims data analysis.
- Draft the minimum viable clinical protocol for claims data analysis.
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.