Keywords
Common Data Elements (CDE) ×
Table of contents
  1. 1. Clinical Trial
  2. 2. Routine Documentation
  3. 3. Registry/Cohort Study
  4. 4. Quality Assurance
  5. 5. Data Standard
  6. 6. Patient-Reported Outcome
  7. 7. Medical Specialty
    1. 7.1. Anesthesiology
    1. 7.2. Dermatology
    1. 7.3. ENT
    1. 7.4. Geriatrics
    1. 7.5. Gynecology/Obstetrics
    1. 7.6. Internal Medicine
      1. Hematology
      1. Infectious Diseases
      1. Cardiology/Angiology
      1. Pneumology
      1. Gastroenterology
      1. Nephrology
      1. Endocrinology/Metabolic Diseases
      1. Rheumatology
    1. 7.7. Neurology
    1. 7.8. Ophthalmology
    1. 7.9. Palliative Care
    1. 7.10. Pathology/Forensics
    1. 7.11. Pediatrics
    1. 7.12. Psychiatry/Psychosomatics
    1. 7.13. Radiology
    1. 7.14. Surgery
      1. General/Visceral Surgery
      1. Neurosurgery
      1. Plastic Surgery
      1. Thoracic Surgery
      1. Trauma/Orthopedics
      1. Vascular Surgery
    1. 7.15. Urology
    1. 7.16. Dental Medicine/OMS
Selected data models

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- 7/15/24 - 2 forms, 8 itemgroups, 147 items, 2 languages
Itemgroups: IG.1, IG.2, IG.3, IG.4, IG.5, IG.6, IG.7, Fragebogen

Optional Set

3 itemgroups 46 items
- 9/20/21 - 13 forms, 6 itemgroups, 39 items, 1 language
Itemgroups: Therapeutic procedure; Details, Adverse Event, Hemopoietic stem cell transplant, Platelet Engraftment, Neutrophil Engraftment, Therapeutic procedure; Status

Lab: Infectiology

1 itemgroup 11 items

Lab: Molecular Genetics

1 itemgroup 23 items
- 9/7/16 - 1 form, 6 itemgroups, 47 items, 1 language
Itemgroups: Cancer treatment, Health service event, Patient, Person (address), Person with cancer, Person
Health sector data set specifications from METeOR, Australia's repository for national metadata standards, developed by the Australian Institute of Health and Welfare (http://meteor.aihw.gov.au/content/index.phtml/itemId/345165) Lung cancer (clinical) DSS: The purpose of the Lung cancer (clinical) data set specification (LCCDSS) is to define data standards for the national collection of lung cancer clinical data so that data collected is consistent and reliable. Collection of this data set specification is not mandated but it is recommended as best practice if clinical cancer data are to be collected. It will facilitate more consistent data collection while enabling individual treatment centres or health service areas to develop data extraction and collection processes and policies that are appropriate for their service settings. The Lung cancer (clinical) data set specification is used in conjunction with the Cancer (clinical) data set specification (CCDSS). Mandatory reporting regulations have enabled population-based cancer registries in Australia to collect standard information on all incident cases of cancer apart from non-melanoma skin cancers, from which incidence, mortality and overall survival have been determined and trends monitored. The CCDSS provides a framework for the collection of more detailed and comprehensive clinical data such as stage of cancer at diagnosis, other prognostic characteristics, cancer treatment and patient outcomes. The Lung cancer (clinical) data set specification will support prospective data collection from the time a person with cancer symptoms is referred or first presents to a hospital or specialist through the entire duration of their illness. The definitions used in this data set specification are designed to capture the provision of cancer care on a day-to-day level. They relate to the cancer care pathway and the need to optimise care by correctly diagnosing, evaluating and managing patients with cancer. In addition, end-points and patterns of care can be monitored to understand both the appropriateness and effectiveness of cancer care. The data elements specified provide a framework for: • promoting the delivery of evidence-based care to patients with cancer • facilitating the ongoing improvement in the quality and safety of cancer management in treatment settings • improving the epidemiological and public health understanding of cancer • informing treatment guidelines and professional education • guiding resource planning and the evaluation of cancer control activities They will facilitate the aggregation of data across different treatment centres. The underlying long-term goal is to provide data support to improve outcomes for patients by increasing the quality and length of life. For example, a comparison of the actual management of patients with best practice guidelines may identify shortfalls in treatment and limitations in access to treatment modalities for some patients. Metadata and Classifications Unit Australian Institute of Health and Welfare GPO Box 570 Canberra ACT 2601
- 9/2/16 - 1 form, 7 itemgroups, 52 items, 1 language
Itemgroups: Female, Health service event, Laboratory standard, Patient, Person (male), Person, Service contact
Health sector data set specifications from METeOR, Australia's repository for national metadata standards, developed by the Australian Institute of Health and Welfare (http://meteor.aihw.gov.au/content/index.phtml/itemId/345165) Diabetes (clinical) DSS The use of this standard is voluntary. However, if data is to be collected the Diabetes (clinical) Data Set Specification (DSS) aims to ensure national consistency in relation to defining, monitoring and recording information on patients diagnosed with diabetes. The Diabetes (clinical) DSS relates to the clinical status of, the provision of services for, and the quality of care delivered to individuals with diabetes, across all health care settings including: · General Practitioners; · Divisions of General Practice; · Diabetes Centres · Specialists in private practice; and · Community Health Nurses and Diabetes Educators. The Diabetes (clinical) DSS: · provides concise, unambiguous definitions for items/conditions related to diabetes quality care, and · aims to ensure standardised methodology of data collection in Australia. The expectation is that collection of this data set facilitates good quality of care, contributes to preventive care and has the potential to enhance self-management by patients with diabetes. The underlying goal is improvement of the length and quality of life of patients with diabetes, and prevention or delay in the development of diabetes related complications. © Australian Institute of Health and Welfare 2015 Metadata and Classifications Unit Australian Institute of Health and Welfare GPO Box 570 Canberra ACT 2601

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