Turn your visits into a picture of your patients
Clinical Analytics builds charts from the vitals and details your clinic already records at each visit — blood pressure, height, weight, body-mass index, age, gender and what patients came in for — so you can see patterns across your whole patient population, not just one file at a time.
What it does
- Lets you build a chart by choosing what to measure (a count of visits, or an average of BMI, weight, height, blood pressure or age) and how to break it down (over time, by gender, age group, complaint category, laboratory test, BMI band or company).
- Lets you pick the data source — count by Visits, or by Laboratory results (every test counted, with each result's visit measurements — like BMI — carried along).
- Cross-analyses two breakdowns at once — for example average BMI by age group, split by gender.
- Draws the result as a line, bar or pie chart with a click, or plots two measurements against each other as a scatter.
- Filters everything by a date range, company, gender and age group.
- Reads only the numbers and categories — the private free-text of a consultation is never used.
Why it helps
For the clinic
Owners and managers can see the shape of their practice — which age groups they serve, the most common complaints, how weight or blood pressure trends across the population — and plan services and outreach around real numbers.
For doctors
A quick population view complements the individual record: how common a complaint is, how a measure is distributed, where the caseload sits.
For staff
No spreadsheets to build. Pick a measure, a breakdown and a chart type, and the picture appears — ready to screenshot for a meeting or report.
For patients
A clinic that understands its own patients staffs and stocks for them better, so care is more responsive.
Analytics is part of the Reports module. It reads only measurements and categories drawn from visits — a visit tagged with several complaint categories is counted under each — and averages are shown with the number of visits behind them, so small samples are easy to spot.