Healthcare KPIs — Key Performance Indicators for Medical Facilities

What Are Healthcare KPIs?

Healthcare KPIs (Key Performance Indicators) are quantifiable metrics that measure operational efficiency, financial performance, and care quality within a medical institution. Unlike generic business indicators, healthcare KPIs must capture the sector's unique complexity: diagnostic turnaround times, technical staff productivity, supply rotation, and the correlation between consumption and billing.

A specialized business intelligence system automatically cross-references data from every operational module — sales, logistics, imaging, and laboratory — to produce precise indicators that management can monitor in real time, without relying on manual reports or spreadsheets.

Why They Matter in Healthcare

Healthcare organizations that lack specific KPIs make decisions in the dark. The benefits of implementing a structured indicator system include:

• Commercial metrics: gross and net sales control per site, average ticket analysis, collection effectiveness, and financial goal compliance to identify profitable locations and detect revenue leakage.
• Diagnostic metrics: turnaround time (TAT) measurement, production volumes by imaging modality or lab analyte, and productivity ratios for technical and medical staff.
• Logistics metrics: stock rotation indicators per site, correlation between consumed supplies and billed exams, and material spend efficiency tracking.
• Early-warning alerts: automatic notifications when a metric falls outside its configured range, enabling anomaly detection in billing or operations without waiting for manual reports.
• Multi-level filtered reports: detailed reports segmented by site, date, service type, and business unit for audits and management committees.

How Davix Relates to Healthcare KPIs

The Davix Business Intelligence System is the analytics engine of the ecosystem, designed to turn transactional data into actionable decisions. Its capabilities include:

• Custom KPI configuration during the implementation phase, tailored to each organization's decision-making model.
• Automatic data cross-referencing across the commercial management, logistics, and diagnostic (PACS/LIS) modules.
• An alert engine that notifies stakeholders when a metric exceeds or drops below configured thresholds.
• Comprehensive reports with multiple filtering levels for profitability and operational performance analysis.
• Profitability analysis that correlates revenue with operational supply costs and utilized technical capacity, identifying the true contribution margin for every service and site.