Better care is delivered when patients and providers can confidently communicate and share health information. SHARES introduces novel, standard-based, institution-independent, EHR-agnostic and scalable sensitive health data segmentation methods and technology to improve data sharing, interoperability, service delivery, and patient outcomes for those with SUD.

SHARES Research

Improve the sharing of medical records

Enhance both the quality of SUD care delivery and patient outcomes by leveraging novel, automated data segmentation methods for more effective, patient-centered data sharing.

Sensitive Data Categories

Physicians’ Perspectives on Sensitive Data Categories

Electronic Consents

FHIR Executable Consents

Sensitive Medications

Ingredient-based Medication Code Sets

Data Sharing Segmentation 

Physicians Mental Models for Categorizing Data 

Featured Research

Our Mission

Aim 1: Explore patient and provider views on SUD data sharing and health care.

Aim 2: Demonstrate the feasibility and accuracy of automated SUD data segmentation

Aim 3: Evaluate the clinical accuracy and impact of automated SUD data segmentation.

Maheswari presents at HL7 WGM

Community Based Care and Privacy

Dr. Lee and Daniel at HL7 WGM

HL7 FHIR

Dr. Jafari and Maheswari

HL7 WGM

Sensitive Data

Physicians’ Perspectives on HL7 Information Policy Sensitive Value Set: A Validation Study through Health Concept Categorization

Dr. Jafari and Daniel working on the Consent and DS4P track

HL7 FHIR Connectathon

Substance use HeAlth REcord Sharing

SHARES

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