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