Prospection has access to healthcare datasets in a range of countries.
Australia
In Australia, Prospection uses a 10% random sample of the Australian Pharmaceutical Benefits Scheme (PBS) dataset, also known as the PBS 10% dataset - approximately 3 million patient records.
The PBS 10% dataset is a longitudinal, nationally representative dataset of community-based dispensing of prescription medicines subsidised by the Australian Government. The dataset contains records dating from January 2010 onwards and is updated monthly.
The PBS 10% dataset does not include data on:
- medicines supplied by non-approved pharmacies or hospitals
- private prescriptions (for medicines not listed on the PBS)
- over-the-counter medicines
- medicines covered by other schemes (e.g. Repatriation Pharmaceutical Benefits Scheme)
Key data fields captured include:
- year of birth
- year of death
- sex
- prescriber type
- state
- PBS drug item code
- drug dispensing date
- drug authority (determined from the PBS item code and its corresponding authority information)
Prospection receives the PBS 10% dataset from Services Australia under a licence agreement.
New Zealand
Prospection delivers advanced analytics in New Zealand (NZ) via datasets obtained from the Ministry of Health (MoH). The Ministry of Health receives data from different parts of the health sector through the utilisation of health services or mandatory reporting of national collections, and also from national population health surveys.
Prospection requests statistical data from the Ministry of Health via a data request process, on a project and/or subscription basis. Longitudinal, geospatially granular (DHB) data is available for 100% of the New Zealand population (5 million patients), spanning 10+ years. Datasets available include, but are not limited to:
- pharmacy dispensing
- hospital events, including inpatient, outpatient and emergency department
- mental health data
- laboratory claims
- mortality/death data
- cancer registry
The data received is updated on demand or quarterly for subscriptions.
More information on the health statistics and datasets available can be found here.
Key data fields captured include:
The data fields captured will be dependent on the datasets provided, but can include:
- age
- sex
- prefecture
- diagnosis
- procedures / tests
- drug item
- drug dispensing date
- prescriber and dispensing type (inpatient/outpatient)
- hospital size
- death
The New Zealand Ministry of Health data is rich with patient level interactions with the healthcare system. As such, we have access to additional data fields including diagnoses, procedures, laboratory tests, private and public hospital information, cancer registry data, cause of death and more. Currently, there are not part of our standard dashboard package, please contact Prospection Support or your customer success representative to discuss this further.
More information about New Zealand Ministry of Health data can be found here.
Japan
Prospection has an exclusive data-access agreement with Japanese medical data company Medical Data Vision Co., Ltd. (MDV). Through this agreement we have access to patient level, longitudinal claims data covering 44 million people in Japan and more than 470 hospitals, to the regional and the prefecture level. It is updated monthly.
Prospections uses two MDV datasets:
- MDV Hospital: Claims dataset collected in the hospital setting
- MDV Insurance: Claims dataset collected from commercial insurers
Key data fields captured include:
- age
- sex
- prefecture
- diagnosis
- procedures / tests
- drug item
- drug dispensing date
- prescriber and dispensing type (inpatient/outpatient)
- hospital size
- death
USA
Prospection delivers insights in the USA based on a pre-loaded open and closed claims dataset, with access to over 85 million complete patient records and 300 million healthcare professional (HCP) identified records. This dataset includes longitudinal patient and doctor level data, based on medical and pharmacy claims, and can be linked to social determinants data. It is updated weekly.
Note:
- Open claims: linked commercial insurers data
- Closed claims: linkable multi-commercial insurers data
Key data fields captured include:
- date of birth
- sex
- state and zipcode
- diagnosis
- procedures / tests
- drug item
- drug dispensing date
- prescriber and dispensing type (inpatient/outpatient)
- death
