A comprehensive set of GP practice data dashboards, Including areas like QOF and prevalence. Prioritise care for patients who have been missed during COVID

Routine care of patients over the COVID pandemic has been delayed, not least because QOF has been cancelled for the last two years. This leaves an increasing number of patients who have conditions which are sub optimally controlled and pose risks of acute admission or deterioration. OneAnalytics allows you to see the risk sitting within this group of patients and prioritise those whose care needs looking at as a matter of priority.

Dashboards for QOF break up your data into:

  • These are broken up into BP indicators, diabetic control, disease optimisation, disease reviews, time limited indicators and other by the colour of the block
  • Vital for when you’re getting towards QOF year end and are trying to pull in patients who will achieve multiple areas
  • Very useful for planning multimorbidity reviews with staff members who have different skill mixes – you can filter by all the above areas to decide who to bring in for which clinician.
QOF data
  • See all blood pressure indicators in one chart – for patients with CHD, diabetes, hypertension, mental health or stroke/TIA.
  • You are able to select or pull out the individual disease areas one by one or groupled together
  • Patients are represented by dots, with green being well controlled BP when last checked and red if poorly controlled – so easily select and pull out your poorly controlled and highest risk patients
  • Easily see how long since the patients last review and which patients had high BP when last checked.
DMARD data
  • Group all your time limited QOF indicators in one place so you can see who needs calling in easily in one place.
  • No running multiple searches every month
  • For each of the QOF areas that need reviews, easily see those patients who are outstanding and when they were last seen.
  • For each QOF area where disease optimisation is needed, see which patients need to be reviewed
  • Also easily see if they have had previously declined treatment or been coded as maximum tolerated treatment
  • See each patient as a dot with colour co-ordination for last control level – green for good, red for bad
  • Separate patients into frail and non-frail
  • Then futher subdivided into patients who have previous exceptions or those who don’t
  • Easily see which patients need administrative tasks undertaking
QOF data
  • Easily see which patients are overdue their blood monitoring for DMARDs and DOACs
  • Organised by those who are most out of date on the left, and those only just out of date towards the right
  • Ensure all your patients are properly coded for QOF and other areas
  • Enhance patient care
  • Drive up payments for QOF
  • And these are also broken down into team members – so out of each area you can see who is missing the most targets
QOF data

See patients grouped into number of chronic conditions

  • Then number of appointments are plotted against number of repeat medications
  • So you can decide which patients need to see your clinical pharmacist or social prescriber
  • Bigger dots are older patients and smaller dots are younger

How can this help my PCN?

  • Easily see variability between practices
  • Use data to centralise recall of patients leading to efficiency savings
  • Review activity data
  • Identify frequent flier patients to plan interventions
  • Easily see how you are performing against the PCN DES targets
PCN DES Monitoring