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EP04 - The Tango: Standards & Innovative Health Outcomes (ID 44)
- Event: e-Health 2017 Virtual Meeting
- Type: e-Poster
- Track: Clinical and Executive
- Presentations: 1
- Coordinates: 6/05/2017, 10:00 AM - 11:00 AM, Exhibit Hall B - Station 4
EP04.05 - Cancer Data Journey Through Activity Level Reporting in Ontario (ID 231)
Purpose/Objectives: In Ontario, the Activity level Reporting (ALR) data is a major source of information about different aspects of cancer patient management such as consultation with medical oncologist, treatment regimen and treatment intent. The ALR data has been playing an important role in cancer patient management by providing support to funding allocation, system level performance measurement, and cancer related research. As ALR data is a unique source of information about cancer patient management, Cancer Care Ontario (CCO) has being working on improving its quality and coverage in order to promote meaningful secondary use.
Methodology/Approach: Activity level reporting data is routinely submitted to CCO by 80+ hospitals including Regional Cancer Centres (RCCs) in Ontario. Following receipt of data by CCO, data quality assessment is conducted and if data is found to be of acceptable quality its added to the repository. Formatted and aggregated data is shared with different internal and external stakeholders to facilitate various secondary uses such as funding allocation, cancer care research, clinical and regional program reporting. In order to facilitate the cancer data journey i.e. to promote its secondary use, CCO conducted multi-level review of the program to identify and address the data quality issues. Through this process, healthcare providers, policy makers and researchers were engaged to validate their information needs and to identify any information gaps.
Finding/Results: In order to facilitate the cancer data journey, identification and addressing of the existing information gap in ALR was done through engagement with internal and external stakeholders. To further promote the use of the cancer data, improvement in data quality has been implemented through development of data dictionary and data quality framework. These initiatives are expected to improve availability, usability and integrity of the data.
Conclusion/Implications/Recommendations: Addressing of information gaps and implementation of a data quality framework leads to better cancer data to support improvements in system level performance reporting, equitable funding allocation and promoting an evidence based environment for better management of cancer patients.
140 Character Summary: Improvement in ALR data quality and fulfilment of information gap will promote meaningful secondary use of data and facilitate the cancer data journey.
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