1. From data to decisions
Every hospital already generates enormous volumes of operational data — every exam, every report, every minute of room time. The problem is rarely a lack of data; it's that the data sits locked inside separate departmental systems, invisible to the people who run those departments. Healthcare Business Intelligence (BI) closes that gap: it turns day-to-day clinical and operational activity into clear, real-time dashboards, so a department head can see what is actually happening — without being a programmer or living in spreadsheets.
2. What healthcare BI actually is
Healthcare BI aggregates data already produced by your existing systems — the patient administration system, and the “business” systems of radiology, the lab, theatre and more — and cross-references it into simple, readable views. It is built for clinical managers, not IT specialists: the questions it answers are the ones a service chief actually asks — how busy are we really, how long are patients waiting, are our machines well used, how is my team's workload trending versus last year?
3. The cockpits: one view per department
A strong BI platform is modular — each department gets a “cockpit” tuned to its priorities. Telemis provides dedicated cockpits for radiology, radiation dose, the operating room, anatomical pathology and the laboratory, with more (emergency, radiotherapy, accreditation) available:
Exam volumes by machine, modality, time-slot and staff; patient wait times; hour-by-hour room and equipment occupancy; report turnaround.
Dose per exam and per patient, benchmarked against diagnostic reference levels; alert and reject management; cumulative dose over time.
Case mix, room utilisation, late starts and offered-vs-used slot time by specialty and surgeon — to cut cancellations and reclaim theatre capacity.
Case types, staining and technique volumes, turnaround and billing — with a digital-pathology view of scanned cases, rescans, rejects and AI usage.
Request and analysis volumes, billing trends, quality control and stock rotation — matching resources to demand.
4. How it works — safely
Behind the dashboards sits a central data layer that consolidates and standardises activity from many systems (harmonising exam descriptions, accounting for holidays and opening hours) and pseudonymises patient data in line with GDPR. Crucially, this layer is decoupled from your production systems, so analytics never slows down live clinical work. Data flows in through standard healthcare connectors (imaging via HL7/DICOM, the patient-admin system, lab systems) in push or pull mode, and views are accessible on PC, tablet or phone — with a fully local option where cloud isn't wanted.
5. What to look for
For non-IT clinical managers — reactive views, click-to-filter, and one-click export.
With your existing systems — without impacting production performance.
Pseudonymisation of patient data in line with GDPR.
Built in — dose vs reference levels, quality control, and accreditation readiness.
Start with one department (usually imaging), and expand later.
Not fixed static reports — dashboards that adapt as your questions change.
Cloud or fully local, across PC, tablet and phone.
6. The Telemis solution: INTUITUS
Telemis delivers healthcare BI through INTUITUS, a modular suite with dedicated cockpits for radiology, radiation dose (DACS), the operating room, anatomical pathology and the laboratory. It draws on standards-based integration, pseudonymises data for GDPR, and runs on a secured cloud or fully local deployment — so hospitals turn their imaging and clinical archives into operational insight, not just storage.