Benefit areas explored in this section
- Impact on of data for business intelligence and reporting, including aiming to meet compliance targets with CQUIN, NICE and many local and national standards
- Impact on ability to understand formulary compliance
- Impact on ability to restrict prescribing access to accredited prescribers enabling compliance with legal requirements
- Impact on availability of relevant patient information at point of need – specifically allergy information
- Governance of individuals, the data in the system and the usage of drugs – all this can only be achieved with digitalised prescribing and admin processes
- Relevant patient info should also add relevant drug info with drug/drug interactions etc
Measuring benefits in data, information and governance benefits realisation
Here’s what our network members had to say when questioned how they were looking to measure these benefits:
Pre EPMA, one trust stated they will use their current Monitor data, JAC dispensing data, Incident Reports, audit data from wards and pharmacy department. Also undertaking timing studies to measure the impact on routine practice.
A few members stated clients are using standard reporting technologies and the data captured in our system to measure many different benefits and adherences based on their own local requirements (including running crystal reports to extract data from JAC, CQUIN and KPI figures, Time and motion studies pre and post implementation and Antibiotic stewardship monitoring).
When asked about specific allergy information, examples included planning to audit the number of instances a penicillin allergic patient has been prescribed a penicillin drug pre-epma (to note: pre-ePMA would have to be from incident data, so it can’t be used as a reliable indicator of how often an event occurs, it’s just how often it has been reported) and for post-ePMA are hoping to pull a report looking into the number of times clinical decision support was used.
When considering the benefits that will be realised, respondents stated there is a need to understand that some benefits take time to be realised and need the data expert to be able to show or deliver the benefit via reporting or dashboards to highlight issues. However, a few members cautioned there is also a need to identify unexpected benefits too. For example: Increase in accuracy of ADT and bed management.