SHARES Research

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

Sensitive Medications

Ingredient-based Medication Code Sets

Electronic Consents

FHIR Executable Consents

Data Sharing Segmentation

Physicians Mental Models for Categorizing Data

Our mission

Improve SUD Care Through Data Sharing

The SHARES study aims to improve care for individuals with SUD by enhancing the sharing of medical records between patients and providers. It seeks to balance patient privacy and data access needs through automated data segmentation methods, interdisciplinary research, and stakeholder engagement.

Improving Data Segmentation Accuracy Through Clinician-Informed Contextual Reasoning

Mengyi Wei, PhD; Anita Murcko, MD; Patricia Bayless, MD; Preston Lee, PhD; Maria Adela Grando, PhD

SHIFT Paper Diagram

Assessing the effectiveness and scalability of FHIR-based granular data segmentation technology

Preston Lee, PhD; Abhishek Singh Dhadwal, MS; Martha Kaiser, MS; Soroush Dianaty, MD; Eric Lott, MD; Gagandeep Singh, MD; Darwyn Chern, MD; Jason Walonoski, MS; Maria Adela Grando, PhD

SHIFT Paper Diagram

Reid A. Cooper, BS; Mengyi Wei, PhD; Martha Kaiser, MS; K. Caine; D. J. Chavez; Jeff Coughlin, MS; K. Davison, Hannah K. Galvin, MD; S. Lane, A. Laws, C. U. Lehmann, P. Lossy, Maria Moen, BPS; S. T. Rosenbloom, J. Seitz, M. Sharko, Julia Skapik, MD; R. Uy, L. Weaver, Maria Adela Grando, PhD 

SHIFT Paper Diagram

Rahma Rizky Alifia, BS; Malihe Sadeghi, PHD; Maheswari Eluru, BDS; Mohammad Jafari, PhD; Maria Adela Grando, PhD

SHIFT Paper Diagram

Patient-Driven Sharing of Health Information: A National Effort to Advance Equitable Interoperability

Hannah K. Galvin, MD; Jeff Coughlin, MS; Marianne Sharko, MD; Maria Adela Grando, PhD; Mohammad Jafari, PhD; Serena Mack; Abigail English, JD; Carolyn Petersen, MS

SHIFT Paper Diagram

FHIR Granular Sensitive Data Segmentation

Preston Lee, PhD; Daniel Mendoza, MS; Martha Kaiser, MS; Eric Lott, MD; Gagandeep Singh, MD; Maria Adela Grando, PhD

Balancing Privacy, Trust, and Equity: Patient Perspectives on Substance Use Disorder Data Sharing

Mengyi Wei, PhD; Michael Todd, PhD; Aimee Campbell, PhD; Darwyn Chern, MD; Eric Lott, MD; Mary Jo Whitfield, MSW; Nick Stavros, MBA; Elise Greenberg, BSW; Maria Adela Grando, PhD

Advancing Health Equity Through Substance Use Medical Record Data Sharing: Insights from Healthcare Providers

Mengyi Wei, PhD; Anita Murcko, MD; Sai Prathyusha Nookala, BS; Dharma Teja Bhattu, MS; Sai Jahnavi Vemula, BS; Darwyn Chern, MD; Eric Lott, MD; Mary Jo Whitfield, MSW; Nick Stavros, MBA; Deborah Ariosto, PhD; Maria Adela Grando, PhD

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

Maheswari Eluru, BDS; Daniel Mendoza, BS; Audrey Wong, BS; Mohammad Jafari, PhD; Patricia Bayless, MD; Darwyn Chern, MD; Christina Eldredge, MD, PhD; Rodrigo Fonseca, MD; Pedro Franco Fuquen, MD; Juan Esteban Garcia-Robledo, MD; Benjamin Grant Gifford, DO; Rhea Hans, MD; Eider F Moreno-Cortes, MD; Ajay Perumbeti, MD; Fabio Samir Vargas-Cely, MD; Lin Zhao, MD; Maria Adela Grando, PhD

Anton Voronov, BS; Mohammad Jafari, PhD; Lin Zhao, MD; Qixuan Hong, BS; John Pope, MD, MPH; Darwyn Chern, MD; Megan Lipman, BS; Adela Grando, PhD 

Understanding the Impact of Contextual EHR Data on Physicians’ Perspectives on Sensitive Health Data

Hannah Kaufman, BS; Ipsha Banerjee, MS; Shafaq Siddiqui, BS; Adela Grando, PhD, FAMIA

A scoping review of healthcare effectiveness data and information set (HEDIS) substance use disorder measures

Oliver Ethan Goal, PharmD, MS; Isca Amanda, MS; Cameron Adams, MS; Adela Grando, PhD, FAMIA

Newsletter Updates

Enter your email address below to subscribe to our newsletter.

Oh hi there 👋
It’s nice to meet you.

Sign up to receive occasional email updates.

We don’t spam! Read our privacy policy for more info.