Überhöhte Personalkosten durch manuelle Qualitätsdaten-Erfassung

Definition

Australia’s safety and quality framework emphasises continuous measurement and feedback of safety and quality data, including clinical indicators and patient-reported measures (PRMs).[1][4][6] National strategies for Clinical Quality Registries encourage the collection of patient outcomes and experiences to support benchmarking and quality improvement.[1][4] Health services are expected to operate quality systems that routinely monitor and report performance.[3] In practice, outpatient clinics and day procedure services frequently rely on manual abstraction from clinical records and manual entry into registry portals or internal spreadsheets, especially when dealing with multiple registries or indicator sets. The federal guide on using PRMs in Clinical Quality Registries notes that sufficient budget must be allocated to support PRM data collection, analysis and reporting.[1] Logic-based estimation for a medium-sized outpatient provider (e.g., 10–20 clinicians, several thousand encounters per year) suggests: nursing/administrative staff spending 1–2 days per week (0.2–0.4 FTE) on gathering, cleaning, and reporting quality measures and PRMs across registries and NSQHS reporting requirements. At a loaded cost of ~AUD 90,000 per FTE, this equates to approximately AUD 18,000–36,000 annually in unavoidable labour; poor process design and rework (chasing missing data, correcting submissions after audits) easily adds a further 25–50% overhead, yielding a realistic avoidable overrun of ~AUD 10,000–20,000 per year per service that could be reduced via automation.

Why This Matters

The Pitch: Outpatient providers in Australia 🇦🇺 waste tens of thousands of AUD annually on manual collection and cleaning of quality indicators and patient-reported measures. Automation of extraction, validation and submission of measures turns this sunk labour into capacity for revenue-generating care.

Affected Stakeholders

Practice Manager, Quality Manager, Nurse Unit Manager, Clinical Nurse Specialist, Allied Health Team Lead, Data/Registry Coordinator

Related Business Risks