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MyHospitals provides performance information for public and private hospitals in Australia. You can also compare the performance of these hospitals and find information about hospitals near you. The annual average number of beds available to be used by an admitted patient was grouped into the following categories: fewer than 50, 50-100, 100-200, 200-500 and more than 500. These data are as reported by states and territories to the NPHED, and are referred to in statistical publications (including Australian hospital statistics) as 'average available beds'. The average number of available beds presented may differ from counts published elsewhere. For example, counts based on bed numbers at a specified date such as 30 June may differ from the average available beds over the reporting period. Comparability of bed numbers can be affected by the range and types of patients treated by a hospital. For example, hospitals may have different proportions of beds available for general versus special purposes (such as beds or cots used exclusively for intensive care). Bed counts also include chairs for same-day admissions.
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Note, this page is now inactive. For latest hospital layers, please see SA Public Hospitals and SA Private Hospitals. \r \r Dataset provides point based location for acute public and private hospitals in South Australia. Excludes Psychiatric and Private Day Only locations.\r \r Data file for Hospital locations\r DHS_ID – Hospital ID, NAME - Hospital, ADDRESS, SUBURB, POSTCODE, SUBTYPE [public or private], LABEL, \r DEPT , MET[metropolitan or rural], X, Y coordinates in Lamberts Conformal Conic projection SA standard.\r \r
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Publication Hospital resources 2016–17: Australian hospital statistics can be found on the AIHW Website.
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Point file of private hospitals in South Australia. The Australian Institute of Health and Welfare defines private hospitals as privately (non-government) owned and operated institutions catering for patients who are treated by a doctor of their own choice. Patients are charged fees for accommodation and other services provided by the hospital and relevant medical and paramedical practitioners. Acute care and psychiatric hospitals are included in this category as are private free-standing day facilities.
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This report provides an overview of care provided in public hospital emergency departments in Australia. Source: Australian Institute of Health and Welfare.
This dataset provides information on 169 in Australia as of April, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.
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Total number of inpatient separations from public hospitals by hospital by quarter
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Australia Hospital Beds: per 1000 People data was reported at 3.840 Number in 2016. This records an increase from the previous number of 3.820 Number for 2015. Australia Hospital Beds: per 1000 People data is updated yearly, averaging 10.500 Number from Dec 1960 (Median) to 2016, with 53 observations. The data reached an all-time high of 12.300 Number in 1980 and a record low of 3.740 Number in 2013. Australia Hospital Beds: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Social: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.;Data are from the World Health Organization, supplemented by country data.;Weighted average;
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Average length of stay in days per quarter for inpatients at public metropolitan and country hospitals by quarter by hospital
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This is a list of hospitals (reporting units) and their location in Australia according to the Australian Institute of Health and Welfare. More APIs and data can be found viahttps://www.aihw.gov.au/hospitals/other-resources/myhospitals-apiMetadata and data definitions can be found on AIHW Meteor site: the https://meteor.aihw.gov.au/content/386794
This dataset provides information on 117 in New South Wales, Australia as of May, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.
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Inpatient Admissions after attending Emergency Department, for public metropolitan and major country hospitals by quarter
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Same day surgery procedures for public hospitals. Percentage of patients that were admitted and discharged on the same day for a specific elective procedure, by financial year. This data monitors the quantity of elective surgery undertaken on a same day and extended day basis to ensure services are delivered in the most efficient model and patients do not stay in hospital longer than required, and improving elective surgery throughput.
This dataset provides information on 32 in South Australia, Australia as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.
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Forecast: Government Expenditures on Hospital Services in Australia 2023 - 2027 Discover more data with ReportLinker!
This dataset includes number of Hospital admissions by mental health diagnosis; Community mental health service contacts by Statistical Local Area e.g. incl. Health Region, Metro Adelaide & Country SA.
Dataset to be attributed to Public Health Information Unit (PHIDU) located at The University of Adelaide. http://phidu.torrens.edu.au/social-health-atlases
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Total number of Emergency Department presentations to public metropolitan and major country hospitals by quarter
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This dataset presents the footprint of statistics of potentially preventable hospitalisations (PPH). PPH does not mean that a patient admitted for that condition did not need to be hospitalised at the time of admission. Rather the hospitalisation could have potentially been prevented through the provision of appropriate preventative health interventions and early disease management in primary care and community-based care settings. PPH rates are indicators of the effectiveness of non-hospital care. The data spans the financial years of 2013-2017 and is aggregated to 2017 Department of Health Primary Health Network (PHN) areas, based on the 2016 Australian Statistical Geography Standard (ASGS).
The data is sourced from the Australian Institute of Health and Welfare (AIHW) - National Hospital Morbidity Database (NHMD), which is a compilation of episode-level records from admitted patient morbidity data collection systems in Australian public and private hospitals.
For further information about this dataset visit the data source:Australian Institute of Health and Welfare - Potentially Preventable Hospitalisations Data Tables.
Please note:
AURIN has spatially enabled the original data using the Department of Health - PHN Areas.
In tables presenting measures by PPH condition, some hospitalisations may account for multiple PPH conditions. As a result, conditions may not sum to categories, and categories may not sum to Total PPH.
The counting unit for this publication were episodes of stay, measured by financial year of separation. This may be a complete hospital stay (to discharge, transfer, or death), or a part of the stay if there was a change of care type (for example from acute to rehabilitation). As a record is included for each hospitalisation, not for each patient, patients hospitalised more than once or transferred between hospitals in the financial year will have more than one record.
Episodes for unqualified newborn care, posthumous organ procurement or hospital boarders were excluded.
Population counts are based on estimated resident populations at 30 June for each year. Australian estimated resident population data are sourced from Australian demographic statistics (ABS cat. no. 3101.0).
There have been changes to PHN boundaries over time. The 2016-17 data uses concordances from 2017 based on the 2016 ASGS and 2016 Census population while previous years use the concordance files from 2015.
National totals include data where the place of usual residence was overseas, no fixed abode, offshore and migratory, and undefined but these data are excluded from PHN and SA3 area estimates.
All data for an area were suppressed (marked NP) if the number of rounded PPH was less than 5. Values assigned NP in the original data have been set to null.
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This dataset presents the footprint of statistics of potentially preventable hospitalisations (PPH). PPH does not mean that a patient admitted for that condition did not need to be hospitalised at the time of admission. Rather the hospitalisation could have potentially been prevented through the provision of appropriate preventative health interventions and early disease management in primary care and community-based care settings. PPH rates are indicators of the effectiveness of non-hospital care. The data spans the financial years of 2013-2017 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS). The data is sourced from the Australian Institute of Health and Welfare (AIHW) - National Hospital Morbidity Database (NHMD), which is a compilation of episode-level records from admitted patient morbidity data collection systems in Australian public and private hospitals. For further information about this dataset visit the data source:Australian Institute of Health and Welfare - Potentially Preventable Hospitalisations Data Tables.
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Total male hospital admissions 2012/13, excluding same-day admissions for dialysis for kidney disease and well babies who are nine days older or less. The data presented are of the number of separations, or completions of the episode of care of a patient in hospital by principal diagnosis (infectious and parasitic diseases, all cancers, mental health related conditions, circulatory system diseases, respiratory system diseases, digestive system diseases, musculoskeletal system and connective tissue diseases, genitourinary system diseases, pregnancy and childbirth, injury, poisoning and other external causes) for Public hospitals and All hospitals (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/. Note: Data were not available for private hospitals in Tasmania, the Northern Territory or the Australian Capital Territory. Therefore the ‘all hospitals’ data for these areas has been omitted. Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf of State and Territory health departments for 2012/13; and the average of the ABS Estimated Resident Population, 30 June 2012 and 2013.
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MyHospitals provides performance information for public and private hospitals in Australia. You can also compare the performance of these hospitals and find information about hospitals near you. The annual average number of beds available to be used by an admitted patient was grouped into the following categories: fewer than 50, 50-100, 100-200, 200-500 and more than 500. These data are as reported by states and territories to the NPHED, and are referred to in statistical publications (including Australian hospital statistics) as 'average available beds'. The average number of available beds presented may differ from counts published elsewhere. For example, counts based on bed numbers at a specified date such as 30 June may differ from the average available beds over the reporting period. Comparability of bed numbers can be affected by the range and types of patients treated by a hospital. For example, hospitals may have different proportions of beds available for general versus special purposes (such as beds or cots used exclusively for intensive care). Bed counts also include chairs for same-day admissions.