Healthcare

Hospitals

A 100-bed hospital has operational data spread across four to five disconnected systems with no unified view for management. Bed occupancy, revenue collected, and department performance require individual calls to nursing, billing, and operations to compile. Clarivis builds a Clinical Operations Dashboard and billing automation for mid-sized hospitals that give management a live view of facility operations without manual report compilation.

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What this costs you

Bed occupancy, department revenue, and patient flow data exist in four to five separate systems with no unified view for management

Billing across departments is reconciled manually at the point of patient discharge, causing delays and missed charges from multiple care episodes

Appointment no-show rates in outpatient departments are as high as in clinics with no automated reminder system in place

Management decisions about staffing, capacity, and service mix are made on reports that are hours or days old

Operational Visibility Across 50 to 200 Beds

A 100-bed hospital has more data than it can use. Patient records in one system, billing in another, scheduling in a third, and pharmacy in a fourth. The medical superintendent or administrator who wants to know how many beds are occupied right now, how much revenue was collected today across OPD and IPD, and which department is running at over-capacity must call four different people and wait for them to check individually.

This is not unusual. It is the standard operating state for most mid-sized hospitals in India. The systems exist but they do not talk to each other and nobody has time to synthesise the information they produce into a view that management can actually use.

Where the Gaps Compound

Bed management is the most operationally critical gap. A patient ready for discharge whose paperwork is delayed holds a bed that another admission needs. Without a live bed status view, bed utilisation is managed by walking the wards and calling the nursing stations, an approach that works at 50 beds and breaks at 150.

Billing across departments is the revenue gap. An IPD patient who receives physiotherapy, pharmacy, and a specialist consultation during a single admission may have charges from three departments recorded in three places. Final billing reconciliation before discharge is a manual exercise that delays discharge, frustrates the patient, and occasionally misses charges entirely.

What Changes After Deployment

Clarivis builds a Clinical Operations Dashboard that pulls live data from existing hospital systems and presents a unified management view: current bed occupancy by ward, OPD patient flow by department, revenue collected versus billed by day and by department, and pending discharge paperwork by bed. Billing automation handles cross-department charge aggregation at the point of discharge rather than as a manual reconciliation exercise.

Before and After

Before: The administrator starts Monday morning by calling the nursing supervisor for bed count, the billing manager for weekend revenue, and the OPD head for today's appointment load. The answers arrive by 10am. Decisions are made on information that is already two to four hours old.

After: The administrator opens a dashboard at 8am showing 87 of 100 beds occupied, three pending discharges with completed paperwork, Rs 4.2 lakh collected over the weekend, and OPD at 40 percent capacity for the morning session. Decisions are made before the first meeting.

90-Day Outcome

Within 90 days, hospitals typically see bed utilisation improve as discharge delays decrease, billing reconciliation time at discharge reduce from 45 to 90 minutes to under 15 minutes, and management decisions move from retrospective to real-time.

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