Getting Outcomes Measures to Sing in Harmony Not an Easy Task
by Joyce Frieden, News Editor, MedPage Today, April 28, 2017 WASHINGTON — Measuring outcomes for heart disease treatment in the general population won’t do much good if researchers can’t agree on a single definition of a particular disease or on which outcomes are worth measuring. That’s why a group of interested organizations is developing a common[…]
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Use of a Natural Language Processing-Based Approach to Extract Suicide Ideation and Behavior from Clinical Notes to Support Depression Research
MAY 27, 2021
View our poster on Use of a Natural Language Processing-Based Approach to Extract Suicide Ideation and Behavior from Clinical Notes to Support Depression Research. Click to view more!
Patient Characteristics And Management Of Juvenile Idiopathic Arthritis (JIA) In a Large, Representative Real-World Cohort
MAY 20, 2021
View our poster on Patient Characteristics And Management Of Juvenile Idiopathic Arthritis (JIA) In a Large, Representative Real-World Cohort. Click to view more!
NEWS & ARTICLES
Finding hard-to-find patients: Integrating real-world data and AI
JUL 18, 2022
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
JUL 12, 2022
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[…]
WHITE PAPERS
From Big Data to Measurable Outcomes: OBC
JUL 6, 2017
A heightened focus on value is driving efforts across health care to improve outcomes and reduce costs. For pharmaceutical companies, this focus translates into a shift away from traditional payment models to more outcomes-based, risk sharing agreements. In many ways, these agreements present the opportunity to better align interests across health care’s stakeholders. However, they[…]
Improving Performance under Bundled Care
NOV 5, 2016
The field of medicine is changing rapidly due to two major disruptions – the application of artificial intelligence, such as machine and deep learning and the shift from fee-for-service to value-based payment models. These innovations, which are occurring simultaneously, are fundamentally altering how data are used and how care is provided. To survive in this[…]
WEBINARS
Using Real-World Data to Unlock Better Outcomes in IBD & NASH Patients
JUL 19, 2022
Gastrointestinal and metabolic disorders are highly prevalent and result in reduced quality of life for many patients. Treatments are aimed at reducing symptoms and preventing complications and progression. More research is needed to better understand natural history and progression, treatment effectiveness, and outcomes. Register here Linked real-world data (RWD) and machine learning (ML) applications provide[…]
Using Real-World Data to Explore and Demonstrate Comparative Effectiveness
JUN 21, 2022
July 19, 2022 11:00 AM EDT Register>> Real-world data (RWD) can provide valuable insights into treatment effectiveness and be used to generate evidence for decision making. Understanding which data, when and how to use it, and special considerations when leveraging for regulatory and other stakeholders are all critical to success for RWD comparative effectiveness research[…]