Analyzing clinical data and workflows: tools
| Module 1 | Electronic health records (EHR) introduction |
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| Module 2 | Making the value case |
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| Module 3 | Clarifying legal and policy issues |
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| Module 4 | Forming partnerships |
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| Module 5 | Analyzing clinical data and workflows |
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| Module 6 | Analyzing technical options |
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| Module 7 | Implementing data exchange |
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| Module 8 | Optimizing data quality and use |
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| Module 9 | All toolkit downloads |
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Tool downloads
Defining data elements
Determining what data are required is an essential step in developing an EHR-based surveillance system. This tool helps users decide what data are needed to meet goals, what standards to use to encode the data and who collects and enters the data.
Worksheet
Understanding clinical data and workflows
Before the data reach your office, it is important to understand the data from the perspective of their native health care and EHR environments. Because the way that agencies send, receive and manage data has changed, this tool provides questions necessary to answer before implementing a surveillance system and explains structured and non-structured data.
Guide
Understanding Clinical Data and Workflow Guide (PDF download)
Understanding Clinical Data and Workflow Guide (Word download)
Worksheet
Understanding Clinical Data and Workflow Worksheet (PDF download)
Understanding Clinical Data and Workflow Worksheet (Word download)
Understanding surveillance data exchange processes
This tool explains the surveillance data exchange process by providing critical planning questions relevant to push and pull reporting.
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