Surgery Demand & Capacity Dashboard
Statewide predictive Power BI analytics dashboard delivered across 200+ NSW Health sites, cutting manual reporting by 45% and embedding real-time operational handover protocols.
Ministry of Health NSW · Australia
⚠️ PLACEHOLDER — Case narrative to be written by Jari. Suggested points to cover: · What manual reporting processes existed before and why they were insufficient · The scope challenge: 200+ sites, multiple clinical streams, varying data maturity · Stakeholder complexity — clinical, operational, executive, data governance · Key constraints (cyber/privacy policy, data quality, release cadence)
⚠️ PLACEHOLDER — Results and outcomes to be written by Jari. Suggested points to cover: · 45% reduction in manual reporting — how that was measured and what it freed up · How the predictive analytics actually changed decisions on the ground · Adoption story — how 200+ sites were onboarded · Any follow-on work or ongoing impact
⚠️ This case study is a placeholder — content to be completed by Jari.
The summary and key facts below are extracted from CV material. The full narrative, challenge, and results sections need to be written.
Context
The Surgery Demand & Capacity Dashboard was delivered for the Ministry of Health NSW as part of the broader statewide analytics and predictive modelling program. Sammetric led the business analysis, product ownership, and delivery across multiple clinical and operational streams.
What Was Delivered
- Predictive Power BI dashboard deployed across 200+ NSW Health sites
- Forward-looking workload and resource utilisation analytics integrated into a single self-service view
- Reduction in manual reporting by an estimated 45%
- Operational handover protocols embedded into the dashboard workflow
- Cross-stream requirements definition covering Surgery, PHREDSS, and SDPR programs
Role
Lead Business Analyst / Product Lead — Ministry of Health NSW (October 2024–Present)
Write your case here. Replace the placeholder sections above with the real story.
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