Name
Enhancing the Quality and Accessibility of HIE Data for Research Purposes
Description

Data held by HIEs has much greater value for research purposes than is currently able to be extracted due to regulatory, privacy and cost concerns, and lacks data conformity and suitability for research uses. HEALTHeLINK embarked on a project to refine and enhance their existing data through the use of AI tools, natural language processing and code normalization, and use a new HIPAA-compliant technology platform for preserving the privacy of that data while sharing it.

Presentation Learning Objectives
1) How the HIPAA safe harbor de-identification provision fails to protect patient data. Data can fairly easily be re-identified, particularly with hacker’s access to browser history or credit card information.
2) How enabling outside access to full-fidelity medical records behind the HIE firewall retains HIE control over the data and is far safer than shipping de-identified data. Many textual documents can’t ever be de-identified, but using privacy protecting tools behind the firewall enable use of these documents in research
3) Normalizing, standardizing and coding unstructured patient data enables far more research use cases. Finding signs and symptoms in text and tagging them with codes (SNOMED, ICD, RxNORM, LOINC, etc.) turns documents into data.
Speaker Name
Jennifer Lane
Speaker Credentials
PMP, CSM
Speaker Title
VP, Technology
Speaker Organization
HEALTHeLINK
Speaker 2 Name
Glenn Keet
Speaker 2 Credentials
BS, BA
Speaker 2 Title
Co-Founder and General Manager, HIE
Speaker 2 Organization
Selfii