data modeling and mapping: harmonizing data interchange ... · data modeling and mapping:...
TRANSCRIPT
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Data Modeling and Mapping: Harmonizing data interchange and extraction of key elements from unstructured data.
• Nessim Abu-Saif, M.D. MPH
• Carolina Health Informatics Program
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Agenda
Introduction Training Tools MappingTriplestore Phenotype
EMERSE Conclusion
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Mission
DATA MODELING AND MAPPING
FACILITATE DATA EXCHANGE
EXTRACTING KEY ELEMENTS FROM
UNSTRUCTURED DATA
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North Carolina Translational and Clinical Research Institute (NC TraCS)
ACCESS TO DATA AND DATA ANALYSIS
FUNDING PARTNERSHIPS HELP RECRUITING RESEARCH
PARTICIPANTS
RESEARCH SPACE
CONDUCT RESEARCH
RESOURCES TRANSLATIONAL RESEARCH
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Agenda
Introduction Training
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Training
Citi Training HIPAA IRBTuberculosis
Awareness for Healthcare Personnel
HCS Incident Reporting, Hazard
Communication and Safety
Getting Started as a Learner in LMS
HCS Infection Prevention for
Healthcare Personnel HCS Fire Safety
HCS Emergency Preparedness
HCS Confidentiality, Privacy and
Information Security
NC Health Information Exchange
Authority and NC HealthConnex
NASH & WAYNE : Clinical
HCS Compliance and Code of Conduct
HCS Bloodborne Pathogens Training
for Healthcare Personnel
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Agenda
Introduction Training Tools
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Tools
i2b2 EMERSE
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i2b2
Inclusion/exclusion criteria
Use aggregated countRetrieve patient data through CDW
analyst (IRB approval required)
Query de-identified patient data from Carolina Data Warehouse for Health (CDW)
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Can you identify the query ?
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EMERSE
Requirements
Paid employees of UNC-Chapel Hill or UNC Health Care
Meet necessary regulations Training
Retrieve unstructured data from electronic health records (EHRs)
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Note Types
Order Narrative
• Attached to order
• Diagnostics report attached to order for the test
Non-order Narrative
• All notes not attached to orders
• Progress note
• Telephone encounters
• Consult
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Agenda
Introduction Training Tools Mapping
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MAPPING
UNC CDW – PCORnet
PCORnet – FHIR
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UNC-CDW – PCORnet
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Specimen Source
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https://pcornet.org/download/pcornet-common-data-model-v4-1-specification-15-may-2018/?wpdmdl=1225&refresh=5ce6e5f631e001558636022
https://www.hl7.org/fhir/encounter.html
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PCORnet Table FHIR Resource Base Element Element Value/Attributes
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Agenda
Introduction Training Tools MappingTriplestore Phenotype
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Opoid Research Data Hub: Triplestore Phenotype
• Triplestore Phenotype
• Index Date
• Opioid use within 30 days within index date
• No opioids >30 days prior to index date
• Opioid use 90-180 days after index date
• No new procedures 180 days after index date
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Patient Chart Review: Findings
Mappings validated
Invalid CPT codes Error in EHR data entry
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Agenda
Introduction Training Tools MappingTriplestore Phenotype
EMERSE
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EMERSE: OBJECTIVE
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EMERSE: CATEGORIZATION PROCESS
Categorization
Order Narrative: 55
types
Search Terms: 1500+
Non-Order Narrative: 138
types
Interviews
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Search Terms
Disease
Symptoms
Diagnostics
MedicationAnatomy
Procedure
Location of Care
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Non-Order
Narrative
Encounter/Progress
Speciality Service
Note-Attachment
Educational
Outpatient
Diagnostics
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Interview Summary
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Agenda
Introduction Training Tools MappingTriplestore Phenotype
EMERSE Conclusion
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Conclusion
Challenges• CDM structures• Mapping methods• Guidelines
Lesson Learned• What mapping means ! • Regulations • Data Integrity
Future Projects• Continue Mappings• Implement Categories • Utilize Triplestore Phenotypes
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Thank You
UNC-CHIP
• Javed Mostafa
• Leah Townsend
• Mariell Ruiz
• March Kelly
NC TraCS
• Emily Pfaff
• Kellie Walters
• Buck Bohac
• James Champion