Data Modeling and Mapping: Harmonizing data interchange ... · Data Modeling and Mapping:...
Transcript of Data Modeling and Mapping: Harmonizing data interchange ... · Data Modeling and Mapping:...
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
Agenda
Introduction Training Tools MappingTriplestore Phenotype
EMERSE Conclusion
Mission
DATA MODELING AND MAPPING
FACILITATE DATA EXCHANGE
EXTRACTING KEY ELEMENTS FROM
UNSTRUCTURED DATA
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
Agenda
Introduction Training
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
Agenda
Introduction Training Tools
Tools
i2b2 EMERSE
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)
Can you identify the query ?
EMERSE
Requirements
Paid employees of UNC-Chapel Hill or UNC Health Care
Meet necessary regulations Training
Retrieve unstructured data from electronic health records (EHRs)
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
Agenda
Introduction Training Tools Mapping
MAPPING
UNC CDW – PCORnet
PCORnet – FHIR
UNC-CDW – PCORnet
Specimen Source
FHIR PCORnethttps://www.hl7.org/fhir/resourcelist.html
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
PCORnet Table FHIR Resource Base Element Element Value/Attributes
Agenda
Introduction Training Tools MappingTriplestore Phenotype
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
Patient Chart Review: Findings
Mappings validated
Invalid CPT codes Error in EHR data entry
Agenda
Introduction Training Tools MappingTriplestore Phenotype
EMERSE
EMERSE: OBJECTIVE
EMERSE: CATEGORIZATION PROCESS
Categorization
Order Narrative: 55
types
Search Terms: 1500+
Non-Order Narrative: 138
types
Interviews
Search Terms
Disease
Symptoms
Diagnostics
MedicationAnatomy
Procedure
Location of Care
Non-Order
Narrative
Encounter/Progress
Speciality Service
Note-Attachment
Educational
Outpatient
Diagnostics
Interview Summary
Agenda
Introduction Training Tools MappingTriplestore Phenotype
EMERSE Conclusion
Conclusion
Challenges• CDM structures• Mapping methods• Guidelines
Lesson Learned• What mapping means ! • Regulations • Data Integrity
Future Projects• Continue Mappings• Implement Categories • Utilize Triplestore Phenotypes
Thank You
UNC-CHIP
• Javed Mostafa
• Leah Townsend
• Mariell Ruiz
• March Kelly
NC TraCS
• Emily Pfaff
• Kellie Walters
• Buck Bohac
• James Champion