A Fishbone document is used to explore the potential root causes of a problem.
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Training Level
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Format
Intended Audience
Catalog
Fishbone Diagram (Ishikawa)
Validation of Multi-State EHR-Based Network for Disease Surveillance (MENDS) Data and Implications for Improving Data Quality and Representativeness
Document
Surveillance modernization efforts emphasize the potential use of electronic health record (EHR) data to inform public health surveillance and prevention. However, EHR data streams vary widely in their completeness, accuracy, and representativeness. This publication describes a validation process developed by the Multi-State EHR-Based Network for Disease Surveillance (MENDS) pilot project to identify and resolve data quality issues that could affect chronic disease prevalence estimates.
Year released: 2024
An Overview of the Onboarding Process
Presentation
In this presentation, we will go over the process for onboarding a data submitter for HL7-based interoperability.
Year released: 2022
Duration: 10 Minutes
The Interoperability Testing Process
Presentation
This presentation will describe why testing is critical to the success of an interoperability project. We will review the different types of testing that are commonly performed during a project in more detail. Also, we will provide some tips and tricks to make your testing more successful.
Year released: 2022
Duration: 27 Minutes
Fishbone Diagram (Cause and Effect)
Presentation
A fishbone diagram helps team members visually diagram a problem or condition's root causes, allowing them to truly diagnose the problem rather than focusing on symptoms.