Producing Reproducible Analytic Products
February 19, 2019
12:00 PM - 1:30 PM ET
Live. Interactive. Online.
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February 19, 2019
5:00 PM - 6:30 PM ET
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Instructor - Allan Ryan, Ph.D, Director, Clinical Analytics, Alberta Health Services
There is more than enough data in our healthcare system, but it can be challenging to link this data to improving patient outcomes and system performance. Develop strategies to create data that is “language and tool-agnostic” so that your data and analytic work can be leveraged for multiple projects and purposes. Get new ideas to:
- Eliminate or limit “optional” data collection to reduce uninterpretable data sources
- Ensure all unit-level, site-level, and system-level outcome data can be tracked back to individual patients and their outcomes
- Develop reproducibility criteria for analysis and reporting
- Develop strategies to turn your data into actionable insights
What Will be Covered
- The benefits of standardizing tools
- The need to create data assets not just reports
- The philosophy of reproducibility and sharing
Key Messages
- Data clean enough to use in analysis and reporting is too valuable to be dependent on one black box tool or one genius analyst
- It is ultimately the fate of patients that is core to the healthcare mission—this is why we do what we do— even if you are measuring site or clinician performance you should be able to link back to individual patients
- We should not accept “one-off” approaches to analyzing and reporting on outcomes and processes when these reports need to be repeated or updated
Intended Audience
- Healthcare managers
- Healthcare analysts
- Healthcare researchers
Instructor
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