Discrete data collection in Epic: Smartform Overview

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Explore the capabilities of Epic Smartforms for efficient data collection, analysis, and workflow organization. Learn about SDEs, logic implementation, and usage scenarios for improved data quality and extraction readiness.


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  1. Discrete data collection in Epic: - Smartform Overview - Thomas Grader-Beck MD Clinical Director, PACE Epic Physician Builder

  2. Explain Smartforms 1 Show Examples 2 Agenda Discuss Pros and Cons 3 4 5

  3. What are Smartforms? Highly customizable forms that are part of Epic Smartforms can fulfill several functions, including: Data collection (Use of Smartdata elements) Data analysis (Use of scripting/logic) Data organization (Data display) Workflow organization

  4. Smartforms: Data collection Backbone: Discrete data fields defined by Smartdata elements (SDEs) SDEs can have many types (for example String, Number, Boolean, List etc) They can be Epic-released or custom created SDEs can have many contexts (for example Encounter , Patient , Note ) Applied logic around data entry can improve data quality

  5. Smartforms: Data collection Example

  6. Smartforms: Data analysis and display For example: Score calculation (disease activity, risk scores etc.)

  7. Smartforms: Workflow organization Smartforms can embed links to other activities They can provide dynamic guidance on clinical care They can trigger downstream decision support

  8. Other important characteristics of Smartforms Conditional display of Smartforms Contents of Smartforms can be pulled into notes Smartform Note

  9. When to use Smartforms When collecting a larger amount of granular data (usually longitudinally) When high quality data collection is needed To better prepare for data extraction

  10. Caveats when considering Smartforms Smartforms require more extensive build (time and cost consideration) Use of Smartforms requires clinician education (perhaps more than once ) Obtaining high quality data requires consistent Smartform use Recommendation to request reporting tools to identify problems with data early When complex scoring is required Establish data dictionary and definitions in the beginning

  11. Alternatives to Smartforms Using Smartlists, Smarttexts, silent Best Practice Alerts Use of Documentation Flowsheets Manual chart review and database population from free text (use of templates for data collection) Natural language processing

  12. Questions? Contact: Program To Accelerate Clinical Research using Epic (PACE) Thomas Grader-Beck, Clinical Director tgb@jhmi.edu Debora Green, Application Coordinator dgree124@jhu.edu Bonnie Woods, IT Director Bonnie.Woods@jhu.edu

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