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ePHocus update Rebecca Hills

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Information about ePHocus update Rebecca Hills
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Published on August 26, 2007

Author: Wanderer

Source: authorstream.com

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Slide1:  http://cophin.uchsc.edu/ePHocus/ University of Colorado at Denver and Health Sciences Center Department of Preventive Medicine and Biometrics Contact: umit.kaya@uchsc.edu rebecca.hills@uchsc.edu How it works :  How it works Develop your survey online Deliver your survey via the Web Collect responses via the Web Download your data for further analysis Key features:  Key features Simple and easy to use No programming required Develop surveys of any size Text, single, and multiple answer questions Questions organized into tables Skip logic Put your logo on each survey Automated e-mail distribution View the number of completed surveys (real time) Export your data for further analysis Main Menu:  Main Menu Edit:  Edit Check:  Check Make Available:  Make Available Analyze:  Analyze caDSR Enablement Project:  caDSR Enablement Project Goals Enable ePHocus to access CDEs from the caDSR Compose a White Paper Describe the enablement experience Make recommendations for changes to the caDSR to meet the needs of population scientists in the context of a questionnaire generating tool caDSR Enablement Project:  caDSR Enablement Project Team: Jessica Bondy - PI Umit Kaya – Developer Rebecca Hills – Planning, Development and Technical Writing Dennis Lezotte – Subject Matter Expert Lori Crane – Subject Matter Expert Tim Byers – Subject Matter Expert Slide11:  TXT file XML file ePHocus Enablement Process Diagram Barriers to Enablement:  Barriers to Enablement Excel file output from Form Builder Security settings in IE Differences between data in caDSR and ePHocus Fewer fields in ePHocus Skip Patterns:  Skip Patterns Skip data stored at the Form level Skip data not available through Excel download from Form Builder (for NHIS 2005) Two possibilities for Skip Patterns 'Skip from' logic IF answer to #1 is yes, THEN skip to #8 'Look-back' logic for a question Display #8 IF #1=YES and #5 = No More flexible and more complex Data Checking:  Data Checking Data Type Checks (numeric yes/no) DATATYPE information does exist for Permissible Values Is it recorded consistently? Range Checks (1-7, 99) HIGH VALUE, LOW VALUE for Permissible Values, but what about 99? Formatting (99/99/9999) Formatting information exists under Value Domain Details (Display Format, Max Length, Min Length, Decimal Place), but how should it be implemented? Source and Traceability:  Source and Traceability Many possible levels of source information Organization Reference Documents Origin Organization and Questionnaire (and year) Reference Documents Origin Curator, Context Context History of use Form Usage Recommendations:  Recommendations Additional Metadata Validation Information Reading Level of Preferred Question Text Question Grouping For questions with identical valid values For multiple option questions (choose all that apply) HIPAA information (is this value PHI?) Other considerations Where will the data be stored? Next Steps:  Next Steps Finalize the White Paper Demonstrate the enablement tool Assist the POP SCI SIG in moving forward with suggestions and recommendations made in the White Paper

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