For hospitals running Tasy
Patient care dashboards with Tasy data
Hospital volume month by month, against last year, by specialty, department and payer: the operational side that explains the financial result.
Patient care dashboards show the operational side of the hospital: how many surgeries, consultations, tests and patient-days were delivered, how long patients stayed and how that compares with last year. In Clic Health, these dashboards are fed by Tasy's encounter and admission records and are linked to the financial dashboards, because volume explains much of the variance in revenue and costs.
The patient care dashboards
| Dashboard | What it shows |
|---|---|
| Volume Trends | Surgeries, consultations, patient-days and tests, month by month, against last year |
| Surgery Management | Number of surgeries by specialty and by surgeon |
| SUS Emergency Tests | Number of tests ordered in the emergency department |
| Average Length of Stay | Average length of stay by department for SUS, private payers and self-pay |
| SUS Excess Stay | Days beyond the expected stay and the financial impact |
| Non-SUS Share | How much non-SUS care represents in encounters and revenue |
| Shared | Share of encounters compared with share of revenue |
Why look at volume alongside finance
- Revenue fell? First check whether volume fell or the value per encounter (price or mix) did.
- Cost rose? Compare with patient-days: higher cost with more patients may be normal; with fewer, it is a warning sign.
- SUS margin worsened? Look at excess length of stay: days beyond the expected stay create cost without matching revenue.
Length of stay and excess days
Average length of stay (patient-days ÷ discharges) is one of the most important bed management KPIs. It should be read by department and by payer, because ICU stays and surgical ward stays are not comparable. The article on average length of stay covers the calculation and ways to reduce it.
In SUS, Brazil's public health system, each procedure has an expected length of stay in the procedure table. When an admission goes well beyond it, the hospital incurs cost without equivalent revenue. The SUS Excess Stay dashboard shows those cases and the monthly impact. See SUS excess length of stay.
Occupancy
The occupancy rate (patient-days ÷ operational bed-days × 100) complements average length of stay. Together they show whether the hospital has spare beds, a bed shortage or beds occupied longer than they should be. See hospital occupancy rate.