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Health Math NZ


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Evidence of Work

The Interoperability Benefits Calculator

Project Info

Health Math NZ thumbnail

Team Name


Health Math NZ


Team Members


Anish , Han

Project Description


Project Description: The Interoperability Benefits Calculator

The Interoperability Benefits Calculator is a investment support tool designed mainly for hospitals. It quantifies the direct financial and productivity benefits of adopting New Zealand's Interoperability Standards in diagnostic services mandated by Health Information Standards Organisation (HISO).

By modelling reductions in duplicate testing, preventable readmissions, and clinician administrative workload, the calculator translates health data interoperability into measurable economic outcomes for organisations.

The tool provides:
- Customisable organisation setup: users can enter values such as annual tests, discharges, clinician numbers, and wage costs.
- Evidence-based defaults: preloaded figures grounded in New Zealand data and international research (e.g., AJMC, JAMA, NZMJ).
- Interactive dashboard: calculates annual savings, ROI, and net benefit after implementation costs, with results visualised in a clear bar chart.
- Transparent methodology: every assumption and formula is backed with linked references, ensuring credibility for business cases and funding proposals.

This project bridges the gap between health data interoperability investment and measurable productivity gains, equipping healthcare providers with a practical, evidence-driven framework to support interoperability adoption.


#interoperability #healthcare #roi #diagnosticservices #infosys

Data Story


Data Story: Making the Case for Interoperability

1. Introduction — The Big Question

  • New Zealand is investing billions in digital health and interoperability.
  • But stakeholders ask: “Do these investments translate into real productivity gains for healthcare organisations?”

2. The Problem

  • Duplicate tests waste resources and expose patients to unnecessary procedures.
  • Preventable readmissions drive up costs and occupy scarce bed space.
  • Clinician admin time reduces time available for patient care and increases workforce stress.
  • Organisations struggle to connect these inefficiencies with a clear financial story.

3. The Opportunity

  • Interoperability Standards enable seamless sharing of diagnostic and clinical information across hospitals and GP networks.
  • Evidence shows:
    • Up to 25% reduction in duplicate diagnostic tests (AJMC 2015).
    • Around 30% of readmissions are preventable (AHRQ).
    • Clinicians can save 5–10 minutes per visit through reduced admin burden (JAMA 2023).

4. The Data Model

  • Inputs: hospital/GP network data — annual discharges, test volumes, clinician numbers, costs.
  • Evidence-based defaults: derived from New Zealand data and international studies.
  • Calculations:
    • Productivity Gain = Clinicians × Visits × Minutes saved × Clinician cost/minute.
    • Test Savings = Tests × Duplicate rate × Reduction × Cost/test.
    • Readmission Savings = Discharges × Readmission rate × Reduction × Preventable% × Cost/readmission.
  • Outputs: Annual savings, ROI, and Net Benefit after investment.

5. Results (The Story in Numbers)

  • Gross savings are shown across three dimensions: admin time, duplicate test avoidance, and reduced readmissions.
  • Net benefit is calculated after factoring in implementation costs ($800k–$3m depending on hospital size).
  • ROI is clear, visualised via a simple bar chart that compares Gross Savings vs. Net Benefit.

6. Organisational Impact

  • Hospitals: tangible cost savings, increased workforce efficiency, more beds available.
  • GP networks: reduced administrative load, faster diagnostic turnaround.
  • Executives & Boards: evidence-backed ROI to guide digital investment decisions.

7. Conclusion — Closing the Loop

  • The Interoperability Benefits Calculator translates abstract interoperability goals into practical, financial outcomes.
  • By grounding each assumption in evidence, it builds trust with decision makers.
  • The story is no longer “interoperability is good” — it’s “interoperability pays off.”

Evidence of Work

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Team DataSets

Health Information Exchange (HIE) Portals

Description of Use This provides an estimation of implementing EHR integrations

Data Set

How much do doctors get paid in New Zealand and Australia?

Description of Use Acquire estimate cost of clinicians

Data Set

Re-Engineered Discharge (RED) Toolkit

Description of Use This was used to predict the number of reduced readmissions based on implemented interoperable functionalities

Data Set

Publicly funded hospital procedures in New Zealand

Description of Use This was used to estimate the number of tests hospitals run on average based on the number of procedures performed in publicly funded hospitals in New Zealand

Data Set

Health Information Exchange and the Frequency of Repeat Medical Imaging

Description of Use This resource was used to estimate the average reduction re-testing of diagnostic services.

Data Set

System-Level Factors and Time Spent on Electronic Health Records by Primary Care Physicians

Description of Use This resource was used to estimate the average administrative time savings from interoperability implementation.

Data Set

Challenge Entries

Unlocking Productivity Through Connected Health Data

How can governments and health care providers better connect healthcare data and systems to enable interoperability and boost productivity?

#Health-interoperability

Eligibility: Open to all teams with a lead based in New Zealand. Your solution will be measured against its relevance to the theme, practicality and scalability, whether it follows ethical and inclusive design, and its innovation.

Go to Challenge | 9 teams have entered this challenge.