Electronic Patient Records Job Trends in Kingston Upon Thames

Electronic Patient/Health/Medical Records (EPR, EHR, EMR)
South London > Kingston Upon Thames

The table below provides summary statistics and salary benchmarking for jobs advertised in Kingston Upon Thames requiring Electronic Patient Records skills. It covers permanent job vacancies from the 6 months leading up to 7 September 2026, with comparisons to the same periods in the previous two years.

All Database & Business Intelligence Skills
Kingston Upon Thames

Electronic Patient Records falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Kingston Upon Thames.

Electronic Patient Records
Job Vacancy Trend in Kingston Upon Thames

Historical trend showing the proportion of permanent IT job postings citing Electronic Patient Records relative to all permanent IT jobs advertised in Kingston Upon Thames.

Electronic Patient Records
Job Locations in Kingston Upon Thames

The table below looks at the demand and provides a guide to the median salaries quoted in IT jobs citing Electronic Patient Records within the Kingston Upon Thames region over the 6 months to 7 September 2026. The 'Rank Change' column provides an indication of the change in demand within each location based on the same 6 month period last year.

Electronic Patient Records
Top 1 Co-Occurring Skills & Capabilities in Kingston Upon Thames

For the 6 months to 7 September 2026, job vacancies citing Electronic Patient Records also mentioned the following skills and capabilities in order of popularity. The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Kingston Upon Thames region with a requirement for Electronic Patient Records.

Electronic Patient Records
Co-Occurring Skills & Capabilities in Kingston Upon Thames by Category

The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category: