Showing 81-85 of 142 clinical outcomes management & analytics:
Finding hard-to-find patients: Integrating real-world data and AI

BioPharma Dive Published Online: July 18, 2022 Read the Full Article>> Identifying patients ‘outside the clinic’ can provide significant benefits for researchers and population health managers. Better understanding of patient cohorts can shed light on patient journeys, help optimize decisions around treatment choice and timing and inform the development of new therapies and intervention programs.[…]

Validation of a machine learning approach to estimate expanded disability status scale scores for multiple sclerosis

Sage Journals Published June 22, 2022 Read the Full Manuscript>>  Abstract Background Disability assessment using the Expanded Disability Status Scale (EDSS) is important to inform treatment decisions and monitor the progression of multiple sclerosis. Yet, EDSS scores are documented infrequently in electronic medical records. Objective To validate a machine learning model to estimate EDSS scores[…]

Patient Identification: AI Approaches for Challenging Cases

Tue. June 28, 2022 11:00AM – 12:00PM Register >> Identifying patients in real-world data contexts can be difficult, especially when clinical coding is imprecise or unavailable. This webinar will dive into how artificial intelligence tools and real-world data can provide powerful solutions to these challenges. We will discuss how to approach: Conditions with new, underutilized[…]

Using Real-World Data to amplify disability scores in Multiple Sclerosis patients

THU, JUN 9, 2022 11:00 AM – 12:00 PM EDT Register >> Assessing clinical and functional status in Multiple Sclerosis (MS) using the Expanded Disability Status Scale (EDSS) is critical to inform treatment decisions and monitoring the progression of illness. Yet, EDSS scores are documented infrequently and inconsistently due to the time required to complete[…]

Understanding Heart Failure through the Real-World Data Lens

Thu, Apr 21, 2022 11:00 AM – 12:00 PM EDT Register>> There has been substantial recent progress in new heart failure (HF) treatments, yet there is still a large unmet need in the treatment of HF with preserved, mid-range, and reduced ejection fraction as well those with co-morbidities. Linked real-world data (RWD) can provide a[…]