Insights & Research

Identifying Relapsing-Remitting Multiple Sclerosis (RRMS) in United States Integrated Delivery Network Healthcare Claims Data

Identifying Relapsing-Remitting Multiple Sclerosis (RRMS) in United States Integrated Delivery Network Healthcare Electronic Health Record Data

Using algorithms to identify High Disease Activity Relapsing-Remitting Multiple Sclerosis patients using electronic health record data with natural language processing

Using United States Integrated Delivery Network (IDN) Electronic Health Records (EHR)/Natural Language Processing (NLP)-Based Algorithms to Identify Relapses in Relapsing-Remitting Multiple Sclerosis (RRMS) Patients

Developing United States integrated delivery network (IDN) claims-based algorithms to identify relapses in relapsing-remitting multiple sclerosis (RRMS) patients

Identifying Patients with Relapsing-Remitting Multiple Sclerosis Using Algorithms Applied to U.S. Integrated Delivery Network Healthcare Data — Scrip Awards 2018 finalist for "Best Use of Real World Evidence"

Le HV, Truong CT, Kamauu A, Holmén J, Fillmore C, Sabidó-Espin M, Wong S.

Creating a Real-World Data, United States Healthcare Claims-Based Adaptation of Kurtzke Functional Systems Scores for Assessing Multiple Sclerosis Severity and Progression

Truong CT, Le HV, Kamauu A, Holmén J, Fillmore C, Kobayashi M, Wong S.