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.
Dr. Preston Lee (second from left) on the HIMSS 2024 Thought Leadership stage with HL7 leaders on “What’s Now and Next for FHIR”.
HIMSS 2024
Dr. Lee (right) and Dr. Jafari (left) at HL7 Connectathon and WGM in Atlanta, September, 2024.
HL7 FHIR Connectathon
September 2024 – Atlanta, GA
Dr. Lee before his panel guest presentation at HIMSS 2024
HL7 Thought Leadership
March, 2024 – Orlandoa, FL
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
September 2024 – Phoenix, AZ
Maheswari presents at HL7 WGM
Community Based Care and Privacy
Latest from Blog
See our what our team has been up to recently!
SHARES Advisory Board February 2026
Thank you for a productive meeting! We discussed progress done in the SHARES granular data segmentation deployment and the…
SHARES Received an Award
Excited to share that our SHARES technology for granular data segmentation received an award from the Massachusetts eHealth Institute! We were selected…
November 2025 SHARES Advisory Board Meeting
Many thanks to Coppersmith Brockelman PLC for hosting today’s SHARES Advisory Board meeting and Melissa Soliz for her expertise…