Collection web applications

ACCORD cancer data collection software

What is the ACCORD Database?

Designed in partnership with oncology healthcare professionals, ACCORD (the Australian Comprehensive Cancer Outcomes and Research Database) is a web-based application for the collection and management of information relating to cancer patients diagnosis, treatment and outcomes. Through a simple user interface, ACCORD enables clinicians to review and update patient information at any time, including within clinics.

ACCORD datasets have been designed specifically for each tumour stream using national and international standards where possible and in consultation with oncology healthcare professionals. These datasets include demographic, surgery, pathology, chemotherapy, radiotherapy, recurrence and follow-up information.

Tumour Streams

ACCORD enables the collection of a comprehensive and/or minimum dataset across a wide range of tumour streams, including:

  • Anal
  • Bladder
  • Bone & Soft Tissue
  • Breast
  • Cervical
  • Cholangiocarinoma
  • CNS
  • Colorectal
  • Endometrial
  • Gastric
  • Hepatocellular carcinoma
  • Head and Neck
  • Hepatic
  • Leukaemia
  • Lung – NSCLC
  • Lung – SCLC
  • Lymphoma
  • Melanoma
  • Oesophageal
  • Other
  • Ovarian
  • Pancreatic
  • Prostate
  • Renal
  • Skin (non-melanoma)
  • Small bowel
  • Testicular
  • Thyroid
  • Unknown primary

An ACCORD Chemotherapy Prescribing module, incorporating eviQ protocols, is currently in development. Please contact us if you would like to discuss the development of an additional module for other tumour streams.

Once installed, ACCORD can be connected to the BioGrid Australia data linkage platform, enabling data to be used for approved collaborative clinical audit and research projects.

Additional support

ACCORD user manual

The ACCORD user manual will assist you in using the ACCORD Database Version 2.2.9

Collection web applications

Enable both clinician entered and patient reported data to be collected, ingested, accessed and analysed.

Connecting health information

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