Want to learn one of our secrets to data migrations? It’s GalenETL. GalenETL is a scalable, extensible, and system agnostic platform specifically designed to manage and execute complex large-scale healthcare data migrations. Join us for a presentation to learn how we utilize this platform as the backbone of all our data migration projects. We will demonstrate how this platform enables us to implement repeatable processes and allows us to produce consistent results that have led to hundreds of successful data migrations. Come see how GalenETL uses a plug-in based architecture to provide some of the most sought after functionality in the industry.

1. Data Migrations Powered by GalenETL
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2. Confidential © 2017 Galen Healthcare Solutions
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3. About Us

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Our Vendor Expertise

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Introduction
Confidential © 2016 Galen Healthcare Solutions
August Borie
• Lead Technical Consultant
• Epic Bridges Certified
• 6+ years in healthcare IT
• Deep experience in data migrations
across multiple vendors
• Co-developer of GalenETL

6. Data Migrations Powered by GalenETL
1. What is GalenETL?
2. What Makes GalenETL Unique?
3. Mappings and Translations
4. Document Transformation
5. GalenETL Outputs
6. Vendor Specific Functionality
7. Extractors/Parsers
8. Managing Customizations
9. Auditing
10. Validation Script Generator
11. GalenETL Demo
Overview

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What is GalenETL?
• Internal tool used to provide data migration services
• ETL – Extract, Transform, Load
• Components
• Database
• Plugins
o Vendor Specific: Cerner, Epic, Allscripts, Meditech etc.
o Agnostic: compatible with any source system
o Document Transformation
o HL7
o CCD
• Job Service
• Collective knowledge of entire team
GalenETL

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What Makes GalenETL Unique?
• Standard data model
• Can handle any type of clinical/demographic data
• System agnostic
• Constantly evolving and improving
• Scalable
• Consistent output and execution
• Audit trail
• Don’t need to reinvent the wheel
• Tasks are processed linearly
GalenETL

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GalenETL Mapping
• Completely integrated translations
• Mappings stored in GalenETL database
• Fully formatted outputs
• Do not require additional scrubbing
• Customizable
• System specific dictionary entries
• Standard code sets
o ICD-9/ICD-10
o RxNorm
o CVX
o SNOMED
o NDC
• Can reduce manual mapping effort
Mappings and Translations

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Inputs and Outputs
• PDF Generation
• TIF
• RTF
• HTML/XML
• JPEG/Bitmap/PNG etc.
• TIF Manipulation and Generation
• Formatting/compression issues
• PDF -> TIF
• Microsoft Word
• Word -> PDF
• Word -> RTF
Document Transformation

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Document Transformation: TIF Compression
and Colormap
• Group4 compression – bitonal images
• LZW compression – smaller file size, lossless
• JPEG compression – color images
• JPEG2000 compression – JP2 file inside TIF
• Obscure fixes
• Correct PhotometricInterpretation tag
• Convert to black/white
• Single page or multipage
Document Transformation

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Documents/Images
• Exported as files on disk
• Associated index flat file
• PDF, TIF, RTF, TXT etc.
• Custom naming convention
• Usually single file per document
• Can be imported to Document Management System (DMS)
• Custom plugins to deal with encryption, compression, proprietary
file formats
• Add-ons
• Page numbers
• Headers/footers
GalenETL Outputs

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GalenETL Outputs
Continuity of Care Document (CCD)
• Single document per patient that can be ingested into target
EHR
• Conforms to Healthcare IT standards
• Uses standard code sets – RxNorm, ICD-9, ICD-10, SNOMED, NDC, CVX
• Consistent regardless of source data
• Flexible architecture
• Choose data elements to include
• Map only what is necessary
• Clinical items available for reconciliation depending on
target EHR

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HL7 Messages
• Can support any message type/version type
• Fully formatted
• Does not require integration/interface engine
• Translations done on generation
• Consistent regardless of source
• Customizable
• Number of messages per file
• Choose which fields are populated
• Excellent throughput
• Base64 encoded image files
GalenETL Outputs

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Galen’s Own - Chart Summary
• Single PDF combining all clinical data for patient into concise,
readable format
• Separate section per data element
• Goal: reflection of data as it exists in source system
• Minimal mapping required
• Typically imported as a scanned image
• Can also be exported to disk
• Common theme
• Customizable
• Cover page
• Table of contents
• Headers/footers
• Ordering of data
• Consistent regardless of source
GalenETL Outputs

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Chart Summary

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Custom Plugins by Vendor

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Cerner
• Create data import files per specification
• Multiple data types
Meditech
• Create PDFs and associated import file per specification
• Import notes, scanned images, and Chart Summaries
Epic
• Create HL7 messages for import to Epic
• Multiple data types
Custom Plugins

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Greenway Prime Suite
• Documents
• 3 basic document formats: TIF, PDF and Greenway Medication Technologies
(GMT)
• Stored as compressed binary
• GMT notes stored as XML requiring stylesheet
• TIF not stored as TIF
eClinicalWorks
• Progress Notes
• Stored as encrypted XML
• Associated stylesheet
• Output to PDF, HTML, XML
Custom Plugins

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eMDs
• Lab Results
• Stored in QL7 format – like HL7
• Need to parse QL7 and generate PDF results display
CPSI
• Scanned Images
• Stored in proprietary format
• Notes/Results
• Multiple layers of compression
• Eventually plain text
• Archived vs. Active data
Custom Plugins

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Allscripts TouchWorks
• Scanned Image Loader
• Scanned Image Extractor
• Annotations
• Forms Extractor
• Discrete Data Loader
• Notes, Medications, Results, Allergies etc.
• Chart Summary Loader
• Patient Matcher
Custom Plugins

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External Data -> GalenETL
• Plugin to import data into GalenETL from external
sources
• Generic SQL Extractor
• Most common type of extractor
• Execute SQL query to extract data from source database
• Can be set up to run at various times with a scheduler
• Usually limited to single data type per instance of execution
(Problems, Medications etc.)
• Provides consistency throughout the project
Extractors

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External Data -> GalenETL
• A parser is a type of extractor
• Imports data into GalenETL that is not stored in a database
• HL7 Parser
• Turns a HL7 message into GalenETL item record
• Saves data to GalenETL data model for further manipulation
• All HL7 versions
• CCD Parser
• Reads in XML CCD
• Saves all clinical/demographic data to GalenETL
• Stores standard coding system values (ICD-9, ICD-10, RxNorm)
• Many data types
Parsers

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Managing Customizations
Safe Customizations
• Occasionally customizations are needed
• Validation issue
• Customer request
• Plugin architecture allows safe introduction of
customizations at any point in the project
• A GalenETL customization:
• Does not affect functionality of any other plugin
• Drops in without reinstallation or reconfiguration
of GalenETL
• Does not require regression testing

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Managing Customizations
Original Scope
Convert TIF documents
to PDF and load into
MyEHR
Changes
Week 3 Add support for
HTML files.
Week 5 Add support for
overlaying page
numbers and patient
demographics on top of
PDFs.
MyEHR Patient
Matcher
TIF to PDF Converter
MyEHR Document
Loader
MyEHR Patient
Matcher
TIF and HTML to PDF
Converter
MyEHR Document
Loader
Initial Tests Add HTML
Support
MyEHR Patient
Matcher
TIF and HTML to PDF
Converter
MyEHR Document
Loader
Overlay Patient
Info and Page
Number
PDF Overlay Renderer
Time
Plugin A Plugin A Plugin A
Plugin B 2.0
Plugin D
Plugin C
Plugin B 2.0Plugin B
Plugin C Plugin C

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Auditing with GalenETL
• Every action taken is recorded and stored in the
database
• Helps answer common testing and post-live
questions
• What data was loaded/exported for “this” patient?
• How long will the data take to load/export for all patients?
• Why was data loaded in “this” manner?
• Quickly identify errors during load/export of data
• Easily provide report to project team for error resolution
Audit Trail

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Validation Script Generator
Automated Validation Scripts
• Plugin creates Microsoft Excel workbooks to assist with validation
• 1 workbook per patient containing information about each
clinical item
• Item name
• Clinical date
• Ancillary info
• Allows users to easily test migrated data
• Efficient pass/fail methodology
• Easily translate issues to Data Migration Issue Tracker

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GalenETL Demo

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Conclusion

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OUR PHILOSOPHY

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Thank you for joining us today. To access the slides from today’s
presentation, please visit:
http://wiki.galenhealthcare.com/Category:Webcasts
For additional assistance or to request information about our many
services and products, please contact us through our website:
www.galenhealthcare.com

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I.T.
GALENHEALTHCARE.COM