How to assess a hospital investment in Australia

A mislocated hospital can lose hundreds of millions of dollars. Occupancy stays below break-even, visiting surgeons choose better-performing facilities to list at, and without a credentialled surgical team generating volume the position never reaches stabilisation. A well-located competitor in the same metro reaches target occupancy because the demand drivers it underwrote — aging population, PHI coverage, specialty shortfalls — actually exist in its catchment.

Australians aged 65+ are {POP_65_PLUS_SHARE_POPULATION} of the population but {POP_65_PLUS_SHARE_HOSPITALISATIONS} of hospitalisations and {POP_65_PLUS_SHARE_PATIENT_DAYS} of patient days. Separations in the 65+ cohort are growing faster than hospital capacity can respond — against a bed base already below the OECD average ({NATIONAL_BEDS_PER_1000} per 1,000 vs {OECD_AVG_BEDS_PER_1000}), in a sector where adding capacity takes the better part of a decade.

Hospital investment is structurally different from most property sectors — and right now more openly distressed than most. Three structural reasons the capital keeps coming:

• The aging compound. The 65+ cohort is {POP_65_PLUS_SHARE_POPULATION} of the population yet generates {POP_65_PLUS_SHARE_HOSPITALISATIONS} of hospitalisations and {POP_65_PLUS_SHARE_PATIENT_DAYS} of patient days. Separation demand from the 85+ cohort alone is projected to grow {SEPARATION_DEMAND_GROWTH_85_PLUS} by {FORECAST_YEAR}.
• PHI as a demand floor. {PHI_COVERAGE_NATIONAL} of Australians hold private health cover. Government policy actively supports private hospital utilisation through the {PHI_REBATE_NAME}, {LHC_NAME} loading, and the {MLS_NAME}. Private hospitals carry {PRIVATE_SHARE_ELECTIVE_SURGERY} of elective surgery.
• VMO lock-in. Private hospitals operate on a visiting medical officer model — surgeons are credentialled at specific facilities and bring their patient lists. Once a hospital builds a surgical team across key specialties, the referral networks, support staff and equipment investment compound. Switching costs are high for both surgeon and hospital, which is why a well-located and well-operated facility holds its position for decades.

The other side of the ledger: operating margins compressed from {SECTOR_MARGIN_2018} in 2018 to {SECTOR_MARGIN_2023} in 2023 as labour costs — over half of a private hospital's cost base — outpaced PHI reimbursement indexation. Almost {HOSPITALS_OPERATING_AT_LOSS} of private hospitals now operate at a loss. Healthscope — the second-largest operator — entered receivership in 2025.

But the sector's complexity is also its opportunity. Private hospitals span day surgery, overnight acute, psychiatric, rehabilitation, and maternity — each with different cost structures, reimbursement profiles, and profitability. Groups that get their service mix and location analysis right can achieve strong returns even in the current environment. The operators that have struggled have largely struggled to navigate that complexity — not because the underlying demand has disappeared.

At SA4 scale, metro bed supply ranges from {BEDS_LOWEST_SA4_VALUE} per 1,000 ({BEDS_LOWEST_SA4_NAME}) to {BEDS_HIGHEST_SA4_VALUE} ({BEDS_HIGHEST_SA4_NAME}), and at a site-specific catchment level the variation is sharper and the surgical specialty mix differs entirely. Hospital catchments are surgeon-defined as much as geography-defined: a hospital that secures a high-profile orthopaedic surgeon draws patients from a wider radius than the same building with less-established names.

AreaSearch's medical analysis tools work for two different situations. The path you take depends on where you're starting from:

For most users, the area profile is the right starting point — free, covers any area in Australia, and gives you demographic and health context in seconds. For hospital supply metrics, Professional tools are the next step.

All communities require hospital services. The rate and composition of provision can vary widely across geographies, however, with age and socioeconomic profiles dictating the public/private split, and the type and complexity of surgeries required. Whether a new hospital development is viable weighs on whether the volume of separations can sustain full-time staffing across specialties, in a labour market where skilled clinical workforce is in high demand.

Local demand profile

Hospital supply landscape

Public hospitals performed {NATIONAL_TOTAL_SURGERIES} elective surgeries nationally in the latest year assessed. General surgery, urology and ophthalmology lead the public caseload, while orthopaedics, ophthalmology and plastic surgery dominate private volumes. The split varies sharply by specialty — paediatric surgery runs almost entirely through the public system, while specialties like orthopaedics carry three times the private volume of public. Complex surgical specialties such as cardio-thoracic and neurosurgery generate fewer separations overall but longer patient stays, meaning their contribution to patient days and bed demand is disproportionate to their volume.

The PHDB records roughly {PHDB_TOTAL_SEPARATIONS} private hospital separations annually, generating {PHDB_TOTAL_REVENUE} in charges. Same-day separations outnumber overnight stays {PHDB_DAY_OVERNIGHT_RATIO}. Surgical admissions account for {PHDB_SURGICAL_SHARE} of separations but {PHDB_SURGICAL_REVENUE_SHARE} of revenue ({PHDB_SURGICAL_REVENUE}); medical admissions make up {PHDB_MEDICAL_SHARE} of separations and {PHDB_MEDICAL_REVENUE_SHARE} of revenue; other admissions contribute {PHDB_OTHER_SHARE} and {PHDB_OTHER_REVENUE_SHARE} respectively. For every surgical separation, there are roughly {PHDB_NONSURG_TO_SURGICAL_RATIO} non-surgical separations — medical and other admissions that generate patient days and revenue alongside the surgical caseload.

Specialty demand & surgical leakage — quantifying the gap

The gap between local surgical supply against resident demand is leakage — demand that exists among residents but is serviced outside the catchment. This represents a recapture opportunity where the addressable population is sufficiently large to support the required volume, workforce, and equipment. Where supply already meets demand, on the other hand, a new facility would be splitting a finite pool which would risk occupancy falling below the roughly {BREAKEVEN_OCCUPANCY} break-even rate.

At the catchment level, this analysis allows for estimation of current and potential revenues for any specialty and any site in the country. Beyond this, AreaSearch assesses nearly 200 individual surgical procedures for public wait time differentials and leakage, pointing to unmet demand.

Wait times as a demand signal. Elective surgery wait times — particularly in the non-urgent category — reveal where public capacity constraints push patients toward private alternatives. Catchments where wait times run well above the metro median signal proven unmet demand — residents are already waiting, and a private facility offering shorter wait times has a clear value proposition.

AreaSearch translates the demand-supply gap into a bed requirement — the number of beds the catchment needs today, projected forward based on utilisation trends by age cohort. This shows not just whether a gap exists, but how large it is, how fast it is growing, and which cohorts are driving it.

Staffing & workforce feasibility

Incoming supply — what is in the DA pipeline

Every supply ratio in this section covers what is already operating. A site that looks undersupplied today can be saturated within {HOSPITAL_ABSORPTION_TYPICAL} if approved developments are in the pipeline. Council DAs are where the forward supply shows up — approved but not yet built, applications under assessment, and clusters of lodgements that signal other operators have spotted the same opportunity.

AreaSearch’s Custom Catchment report scans the DA register within the catchment radius and lists each application — address, status, lodgement date, estimated value, and distance from the site. The report tracks the trailing approval rate and the 12-month count, so you can see whether the pipeline is accelerating or cooling without manually searching council portals.

You've found a corridor with constrained beds, aging population, and specialty gaps worth filling. Can the site deliver the hospital, and can the economics sustain it?

Physical requirements

Hospitals are NCC Class {NCC_CLASS} — triggering substantially higher construction standards than Class 5 (office) or Class 9b (assembly): fire compartmentation, smoke control, emergency power, structural resilience, and patient evacuation. All must comply with the Australasian Health Facility Guidelines ({AUSHFG_VERSION}). Requirements scale with hospital type:

Statutory zoning, development controls and lot boundaries on the map — click any lot for its zoning code and controls.

Licensing and approvals

All states require Approval in Principle (AIP) before construction begins, followed by a commissioning inspection and state licence before the facility can admit patients. The Federal Minister for Health must separately "declare" the facility — without this, it cannot receive private health insurance benefits. NSQHS accreditation is a condition of licence in all states.

The full greenfield timeline from concept to doors opening is typically {GREENFIELD_CONCEPT_TO_OPEN} for a major facility. Brownfield expansion runs {BROWNFIELD_EXPANSION} per stage. Day hospitals: {DAY_HOSPITAL_CONCEPT_TO_OPEN}.

Hospital economics — the bed as the unit of analysis

The unit of economics is the bed; the unit of revenue is the separation — charged at rates each hospital negotiates with each health fund. Three drivers decide whether the model works:

• Occupancy. Fixed costs run regardless of volume. Break-even is approximately {BREAKEVEN_OCCUPANCY}; target stabilised occupancy is 70–85%.
• Scale. Larger hospitals share resources, reduce theatre downtime, and attract a wider range of specialists and insurer negotiating power.
• Case mix. Complex cardiac surgery generates substantially more revenue per separation than routine endoscopy. Hospitals attracting high-complexity surgeons outperform on a per-bed basis.

At SA4 level, the headline bed supply metrics tell a clear story:

SA4 headline: {EXAMPLE_HIGH_NAME} looks undersupplied ({EXAMPLE_HIGH_BEDS} beds per 1,000). {EXAMPLE_LOW_NAME} looks better-served ({EXAMPLE_LOW_BEDS} beds per 1,000). A more than {ADJACENT_SA4_BEDS_MULTIPLE}x difference. The obvious conclusion is to look for sites in {EXAMPLE_HIGH_NAME}.

Zoom to site level and the story changes.

Sources: ABS · AIHW · APRA · BCG · APHA · OECD Health at a Glance 2025 · Department of Health, Disability and Ageing · Australasian Health Facility Guidelines · AreaSearch. Updated {LATEST_REFRESH_DATE}. This article is a preliminary scoping resource. Make your own enquiries and seek independent professional advice before acting on any information here.