Set acceptance criteria for electronic health record analytics before work begins rather than after.
Analysing Electronic Health Records to Improve Care Pathways
Move electronic health record analytics from general awareness to a repeatable, reviewable practice.
📍 Tripoli🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Technology choices around electronic health record analytics are easy to reverse on paper and expensive to reverse in practice. Boards are asking for measurable returns from record analytics, not demonstrations. The material serves both public bodies and commercial organisations dealing with the wider digital and data-driven work agenda. Participants gain a clear basis for measuring what electronic health record analytics has actually achieved. Participants leave with a method for this strand of digital and data-driven work, not a set of opinions about it. Comparative studies of record analytics across sectors find the same handful of failure points recurring. Every module pairs a short input on electronic health record analytics with structured practice on the participant's own material. Teams frequently over-invest in documenting record analytics and under-invest in testing it. It closes by agreeing the smallest change to the digital and data-driven work capability that would make a visible difference.
Expected Learning Outcomes
Quantify the running cost of record analytics — compute, licensing, and the people who keep it alive.
Design the integration points between electronic health record analytics and the systems already in production.
Reduce avoidable variation in how record analytics is carried out across teams.
Translate policy on electronic health record analytics into procedures that hold up under day-to-day pressure.
Specify the data record analytics depends on, where it originates and who is accountable for its quality.
Plan the migration path for electronic health record analytics without an extended outage or a parallel-running trap.
Who Should Attend
Solution architects designing how electronic health record analytics fits the existing estate.
Business analysts translating requirements for record analytics.
Staff seconded into improvement work on electronic health record analytics.
Operations managers whose processes are changed by record analytics.
Technology and digital transformation managers leading electronic health record analytics.
Members of committees that take decisions affecting record analytics.
Course Modules
Electronic health record analytics: monitoring, drift and operational ownership
2 sessions · 8 pointsSession 1Proving electronic health record analytics paid for itself
- Specify the fallback path when electronic health record analytics is unavailable.
- Verify six months later that changes to record analytics have held.
- Test electronic health record analytics against edge cases drawn from real historical records.
- Assess the regulatory obligations record analytics triggers in each jurisdiction.
Session 2Making record analytics secure without making it unusable
- Decide which legacy process electronic health record analytics retires, and set the date.
- Reduce the variation in how record analytics is carried out between teams.
- Set the review interval for electronic health record analytics and who attends.
- Identify every system record analytics must read from or write to.
Record analytics: business case, scope and the data it depends on
2 sessions · 8 pointsSession 1Reading the true cost of running record analytics
- Prepare the response for the most likely failure in electronic health record analytics.
- Identify single points of dependency in record analytics and reduce them.
- Identify the skills the team lacks to operate electronic health record analytics independently.
- Establish who is informed, consulted and accountable in record analytics.
Session 2The governance record analytics needs and the governance it does not
- Define the service level electronic health record analytics must meet and what happens when it is missed.
- Estimate the resource record analytics requires to run as designed.
- Set out the decisions in electronic health record analytics that require sign-off and by whom.
- Review whether record analytics is aligned with the objectives of the transformation programme.
Record analytics: cost, licensing and total running expense
2 sessions · 8 pointsSession 1What to measure in record analytics and what to ignore
- Define the trigger that would require electronic health record analytics to be redesigned.
- Set the metrics that will show whether record analytics is drifting from its intended behaviour.
- Design the pilot for electronic health record analytics so that a negative result is still useful.
- Rehearse the briefing on record analytics that would follow an incident.
Session 2Where electronic health record analytics typically breaks, and why
- Rank the weaknesses in electronic health record analytics by consequence rather than by ease of fixing.
- Agree the indicators that will show whether record analytics is improving.
- Confirm that reporting on electronic health record analytics reaches the people who can act.
- Collect evidence on the present handling of record analytics before proposing changes.
Record analytics: architecture, integration and the existing estate
2 sessions · 8 pointsSession 1Who owns record analytics once the project team disbands
- Agree who is on call for electronic health record analytics outside working hours.
- Define the exit route from the supplier supporting record analytics.
- Anticipate the objections electronic health record analytics will raise and prepare the answers.
- Measure the current quality of the data feeding record analytics before assuming it is usable.
Session 2Building the method for record analytics step by step
- Confirm the retention and deletion rules applied to data inside electronic health record analytics.
- Classify the data in record analytics and apply access controls that match the classification.
- Build the user briefing that explains what electronic health record analytics does and does not decide.
- Verify that record analytics still performs when input volume doubles unexpectedly.
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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