Prescribing safety

Why population analytics based on EPMA data are a vital component of prescribing safety

EPMA systems can offer great benefits. Improved safety in the use of medicines may be the most significant. Some of the safety benefit arises from the day to day practice of creating and using electronic records for each patient, prescription and administrations. There are further benefits that can be captured by using the data at a population level.

Omitted doses

A key benefit of EPMA systems is that prescription and administration of medicine can be compared. Analysing the level of omitted doses and the reasons for omission is a basic element of medicines safety.

Triscribe Omitted doses analytics

Although it sounds simple, omitted doses can be a powerful analysis.

Reasons can be analysed according to national standards. And in line with local hospital practice. Levels of omission can be compared between wards and teams. Best practices are easier to identify and share. Errors can be spotted faster.

Admin behaviour

Analytics can be used to track and improve the safety of medicines administration behaviour and practice. A great example is Parkinson's medication. Its vital to give these drugs on time. Your data can show how the hospital or wards are doing on this metric.

Prescribing behaviour

Analysing prescriptions can also be a valuable tool. The data can be used to analyse the length of courses prescribed. Useful for antimicrobial stewardship. Or analyse by consultant specialty to help identify best practice.

Risk focus

Population analytics don't identify individual patients. They can still be useful for reviewing groups of high risk patients. Anticholinergic burden would be a good use case for this type of analysis.

Building for the future

These are ways of  using simple basic data. Triscribe provides all the examples described every day. How many frontline clinicians are working without access to this kind of data?

And EPMA data has much greater potential for prescribing safety.

• Building AI to improve identification of best and worst practice in prescribing.

• Extending the range of analytics and linking with other data sets.

• Smarter alerts and messaging to make sure clinicians have the right information when they need it.

• It is even possible to use prescribing patterns to identify risks around workload and wellbeing. Analysing retract and re-prescribe for example.

We are investing to go wider and deeper. Get in touch if you are interested in partnering with Triscribe to improve prescribing safety.