Services

Here at PRIMIS we understand that effective quality improvement requires a flexible and tailored methodology to suit a variety of contexts.

• Use PRIMIS as an experienced intermediary providing expert guidance on accessing and using primary care data

• Commission PRIMIS experts to author a data specification detailing your specific data needs and requirements, both for implementation by PRIMIS or within another software solution

• Turn raw data from GP clinical information systems into actionable insights by commissioning PRIMIS to produce a quality improvement tool or use one of our pre-written tools

• Commission PRIMIS to produce tooling for the purpose of data extraction, reporting, messaging, or entry within a GP clinical information system

• Understand variation in patient care across your PCN, locality or nationally by commissioning PRIMIS to provide a CHART Online comparative analysis tool

• Support the quality improvement cycle by commissioning PRIMIS to provide training in facilitation skills, change management and root cause analysis

• Tap into our experience of supporting the scale and spread of innovation within primary care 

Healthcare records from general practice provide the most comprehensive patient dataset, with huge potential to transform healthcare, now and in the future.

• Use PRIMIS as an experience intermediary providing expert advice on accessing and using primary care data, with support to help you define the most appropriate data model for your needs
• Author a data specification detailing your specific data needs and requirements, by implementation by PRIMIS or by another provider
• Develop tools for use within the GP IT clinical system to support practice and patient recruitment strategies
• Coding advice on the recording of patient consent
• Production of system searches to identify eligible populations and to report on outcomes
• Production of targeted alerts for opportunistic interventions
• Support to develop research protocols (such as study design, methodology, data management and information governance)
• Support through local approval processes for information governance and use of technology
• Comprehensive service package from design to installation, running and reporting, resulting in minimal burden on the practice
• Expert advice on implementing the outcomes of research into everyday practice

We are proud to have created and continue to maintain the only nationally recognised COVID-19 vaccination specification, used for call and recall of patient and vaccination uptake monitoring by UKHSA. 

Covid-19 information

• use PRIMIS as an experienced intermediary providing expert guidance on accessing and using primary care data

• commission PRIMIS experts to author a data specification detailing your specific data needs and requirements, both for implementation by PRIMIS or within another software solution

• develop, update, validate or convert clinical code groups (i.e., from a legacy coding system to SNOMED CT)

• provision of SNOMED CT clinical code groups, including the expression constraint language (ECL) and full extensional list

• support for early career health informaticians and partner organisations looking to develop specialist skills in clinical coding

• collaborative working on indicator scope and architecture

Our typical (but not exclusive) approach is to utilise MS Excel workbooks, such as the CHART software tool. Reporting interfaces within our analytical tools enable the display of patient level data from an underlying datasheet, essentially transforming patient level data into useful insights for the end user. This can include dashboards, graphs, and summary sheets, with the ability for the end user to ‘drill down’ from practice summative data to individual patient data. 

PRIMIS can also provide comparative analysis services enabling data from GP practices to be summarised and compared at local and national levels. 

Over 40% of GP practices in England contributed data to the PINCER comparative analysis service.  

Often our analytical tools process raw data from GP systems searches to produce algorithm results.  We have experience of evaluating the efficacy of algorithms as well as supporting their scale and spread across primary care.   

Examples of our analytical tools which include algorithms: 

• the FAMCAT2 Tool and FAMCAT2 API implement the FAMCAT2 Algorithm, designed to identify patients with the highest probability of having familial hypercholesterolemia;

• the Optimise2 Trial involves the implementation of a series of algorithms that have been developed by the University of Oxford to identify patients suitable for recruitment onto the trial;

• the DePICtion study involves the implementation of the MODY* probability calculator to help clinicians prioritise which individuals should be oriented to genetic testing (* maturity-onset diabetes of the young)