temporal exploration of ehrs using the i2b2 open source platform
DESCRIPTION
Temporal Exploration of EHRs Using the i2b2 Open Source Platform. Vivian Gainer Partners Healthcare. In the Beginning …. Returning Data to Investigators. Identified data is gathered from RPDR and other Partners sources. Output files placed in special directory. - PowerPoint PPT PresentationTRANSCRIPT
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Temporal Exploration of EHRs Using the i2b2 Open Source
Platform
Vivian Gainer Partners Healthcare
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In the Beginning …
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Returning Data to Investigators
Output files placed in special directory
Files include a Microsoft Access Database
Identified data is gathered from RPDR and other Partners sources
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Researchers’ Wish List
• To view many patients at a time
• To have a complete view of a patient’s data
• To view a patient over time
• To view patient text notes in the application
• To add power to the notes via NLP
• To annotate the data
• To save and reuse work
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Our Wish List
• An open source framework that is:
• Easy to use for a variety of users
• Scalable
• Extensible
• Robust
• Interoperable
• Platform-independent
• HIPAA-compliant
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Tools and Architecture
i2b2 HIVE:
• Service-Oriented Architecture
• XML messages
• Cells
• Eclipse (plug-ins)
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Process
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i2b2 Workbench
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User Interactions
Diagnosis Asthma DiabetesTest Glucose PFTDemographics Age Sex
Browse Concepts
Diabetes Asthma
Patient Set Query
AgeSex
Patient Data Query
Patient Set
Patient Data
Patient 1:63 year Male
Patient 2:48 year Female
Patient 3:24 year Male
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Browse concepts
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Create a Query
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Create a model for the Timeline
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Timeline
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View a text report
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Parse the text report
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HELP
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Add another plug-in: TableView http://ccgb.umn.edu/software/java/apps/TableView/
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The workbench and timeline allow users to:
• survey the data to see what is available
• check data integrity for obvious anomalies
• compare data coming from different sources
• display data concisely on single patients
• drill down in term hierarchies
• perform time-oriented queries
• Show time-oriented averages (trends) within the data using sentinel events to synchronize the starting points.
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What are we going to do with it?
• Extend phenotypic data collection• Add anonymous specimen repository• Add a Bayesian inference engine• Predictive modeling• Perform clinical trials in-silico• Discovering correlations within data (relationship networks)• Pharmacovigilance• Genomic studies• Geograpic Information Systems (GIS) studies
…
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Thanks!HCIL
i2b2
Shawn MurphyMike MendisLori PhillipsRaj KuttanWensong PanJanice Donahoe