Beyond Day Hospitals: Why Overnight Private Hospital Benchmarking Needs More Precision

For overnight private hospitals, benchmarking accuracy is not a technical detail.

It is a commercial issue.

These hospitals manage more complex, higher-value admitted care. Contract values can be material, patient episodes are often more resource-intensive, and small differences in benchmark assumptions can affect how performance, funding and insurer negotiations are interpreted.

That is why the dataset behind the benchmark matters.

A benchmark is only useful if it reflects the market being negotiated.

Why overnight hospitals are a harder benchmarking test

Day hospitals and overnight hospitals do not carry the same commercial profile.

Overnight hospitals often manage more complex admitted activity across areas such as cardiac, orthopaedic, rehabilitation, mental health, oncology and other higher-acuity services. Their patient mix, length of stay, service intensity and funding arrangements can vary significantly.

In this context, using the wrong benchmark can distort the picture.

A small variance in benchmarked charges may look minor in percentage terms, but across high-volume or high-value overnight activity it can materially affect the commercial view of a contract.

For CEOs and CFOs, the question is not just:

Are we above or below benchmark?

It is:

Are we using the right benchmark in the first place?

The key dataset difference: HCP and PHDB

Australia’s private hospital sector has two important national datasets that are often used in benchmarking discussions: Hospital Casemix Protocol data and Private Hospital Data Bureau data.

They are both legitimate, but they do not measure exactly the same thing.

Hospital Casemix Protocol, or HCP, data is submitted by hospitals to private health insurers, who then provide it to the Department. It covers episodes of admitted hospital treatment where private health insurers have paid a benefit. It includes de-identified clinical, demographic and financial information, including hospital charges, medical charges, medical devices and human tissue products, private health insurance benefits, Medicare benefits and out-of-pocket expenses.

Private Hospital Data Bureau, or PHDB, data is submitted directly by private hospitals to the Department. It includes admitted hospital treatment in private hospitals and includes treatments paid for by individuals and private health insurers. It also captures hospital charges for all patients in private hospitals.

That distinction matters.

HCP is insurer-aligned.
PHDB is provider-submitted and broader in scope.

For benchmarking health fund contracts, the difference can change the interpretation.

Why dataset choice can change the benchmark

The Department’s preliminary 2024–25 HCP and PHDB annual reports were released on 20 February 2026. The HCP report summarises data collected from private health insurers through HCP1, while the PHDB report summarises data collected from private hospitals through PHDB.

The Department also notes that the 2024–25 reports now include two versions of the AR-DRG table: one based on all separations and another based on acute separations only. That is useful, because admitted sub-acute, non-acute and mental health activity can materially affect comparison logic.

This reinforces the central point: benchmarking is not just about pulling a national average.

It is about knowing what is inside that average.

For overnight hospitals, broader data inclusions can flatten or distort the signal. A comparison that includes different funding sources, care types or activity profiles may not reflect the insured-market economics that matter in a private health insurer negotiation.

When averages understate the commercial position

A broad average can make a hospital look expensive when it is simply different.

For example, an overnight hospital with a more complex case mix may appear above benchmark if the comparison group includes lower-intensity or differently funded activity. That can create a misleading view of efficiency, even when the hospital’s pricing reflects legitimate clinical complexity, service intensity or market position.

That becomes a problem in negotiation.

If the benchmark understates the value of the activity being delivered, the hospital’s commercial position can be weakened before the discussion even begins.

This is why overnight hospital benchmarking needs to be handled with more precision than a single headline average.

Why HCP can be more relevant for insurer negotiations

For health fund contract analysis, HCP data is often more directly aligned to the negotiation question because it focuses on admitted hospital treatment where private health insurers have paid a benefit.

That does not mean PHDB data has no value.

It does.

PHDB provides a broader view of private hospital admitted activity and can be useful for sector-level analysis, policy work and understanding private hospital activity across payer types.

But for insurer negotiations, hospital leaders need to be clear about what they are measuring.

The commercial question is usually not:

What is the broad private hospital average across all funding sources?

It is:

How does our insured activity compare against the relevant insured-market benchmark?

That is the distinction that matters.

Benchmarking precision supports negotiation confidence

Private hospitals are operating in a market where funding pressure, insurer behaviour and sector sustainability are under close scrutiny.

AIHW’s latest hospital expenditure data estimates that $23.0 billion was spent on private hospitals in 2023–24, with 63.1% funded by the non-government sector, including private health insurance providers, individuals and other non-government sources.

APRA’s December 2025 quarterly data also shows the scale of private health insurance activity, with insurers paying $5.36 billion in hospital treatment benefits during the December 2025 quarter.

In that environment, benchmarking needs to support confident decisions.

It should help hospital leaders understand:

• whether funding is aligned to relevant benchmarks

• whether apparent variance reflects performance or dataset distortion

• where contract pressure may be concentrated

• how to prepare evidence before insurer negotiations

• what the commercial opportunity may be worth

That is the real role of benchmarking.

Not more reporting.

Better negotiation evidence.

How ROADS supports more precise benchmarking

EHA’s ROADS platform is designed to help private hospitals move from internal reporting to benchmarked commercial evidence.

ROADS supports analysis of hospital funding against relevant benchmark data, helping leadership teams understand where funding may sit below benchmark, where the opportunity may be concentrated, and what improved contract outcomes could be worth.

For overnight hospitals, this precision matters because case complexity, service mix and funding source can materially affect the benchmark.

The goal is not to replace executive judgement.

It is to give CEOs, CFOs and commercial teams a clearer evidence base before health fund discussions.

That aligns with EHA’s broader role: helping private hospitals identify funding gaps, quantify revenue opportunity and strengthen insurer negotiations through independent benchmarking, ROADS analytics and advisory support.

Questions hospital leaders should ask

Before relying on any benchmark, overnight hospital executives should ask:

• Is the benchmark based on insured admitted activity or broader private hospital activity?

• Does the dataset include payer types or care categories that may distort the comparison?

• Is the analysis based on all separations or acute separations only?

• Can the variance be traced back to the source data?

• Does the benchmark reflect the contracting market we are actually negotiating in?

If the answer is unclear, the benchmark may not be strong enough to support a contract position.

The takeaway

Overnight hospitals are the real test of benchmarking accuracy.

Their activity is more complex, their contract values are often higher, and small differences in benchmark assumptions can materially change the commercial interpretation.

HCP and PHDB are both valuable datasets, but they answer different questions.

For insurer negotiations, the benchmark needs to reflect the insured-market activity that sits at the centre of the contract.

Hospitals that understand the difference can enter negotiations with clearer evidence, stronger commercial context and more confidence.

See your revenue opportunity

EHA helps private hospitals strengthen insurer negotiations through independent benchmarking, ROADS analytics and advisory support.

Start with a confidential Complimentary Benchmark Review to determine whether your health fund contracts are aligned with the benchmark.

FAQs

What is overnight private hospital benchmarking?

Overnight private hospital benchmarking compares hospital activity, funding and charges against relevant benchmark data for admitted overnight care. It helps hospital leaders understand whether funding is aligned to the market and where contract variance may exist.

What is HCP data?

Hospital Casemix Protocol data is submitted by hospitals to private health insurers, who then provide it to the Department. It covers privately insured admitted hospital treatment where a private health insurer has paid a benefit.

What is PHDB data?

Private Hospital Data Bureau data is submitted directly by private hospitals to the Department. It covers admitted hospital treatment in private hospitals and includes activities paid for by individuals and private health insurers.

Why does the difference between HCP and PHDB matter?

The difference matters because HCP and PHDB capture different views of private hospital activity. For insurer negotiations, HCP may provide a more directly relevant view of privately insured admitted activity, while PHDB provides a broader private hospital dataset.

Why is benchmarking accuracy important for overnight hospitals?

Overnight hospitals often manage more complex and higher-value admitted care. Small benchmark differences can materially affect how contract performance, funding gaps and revenue opportunities are interpreted.

References

• Department of Health, Disability and Ageing. HCP annual report 2024–25 – Preliminary. Published 20 February 2026.

• Department of Health, Disability and Ageing. PHDB annual report 2024–25 – Preliminary. Published 20 February 2026.

• Department of Health, Disability and Ageing. PHI 15/26 Release of preliminary 2024–25 HCP and PHDB Annual Reports. Published 20 February 2026.

• Australian Institute of Health and Welfare. Health expenditure Australia 2023–24. Last updated 27 October 2025.

• APRA. Quarterly private health insurance membership and benefits summary — December 2025. Published 27 February 2026.