Leveraging Real-World and Passive Data to Significantly Improve Site Satisfaction and Reduce Trial Costs
In the rapidly evolving landscape of clinical trials, data collection remains one of the most time-consuming and cost-intensive processes. For decades, the manual abstraction of clinical data into electronic case report forms (eCRFs) has been the predominant method for gathering information from trial participants. This paradigm, largely unchanged since the 1990s, remains resource- intensive and[…]
› READ THE BLOGPOSTERS
Addressing Gaps in Real-World Data Sources through Automated Extraction of Psychiatric Comorbidities and Medication Side Effects from Clinical Notes
MAY 9, 2024
At ISPOR Annual 2024, Jessica Probst, MPH presented in the AI in HEOR poster tour on Addressing Gaps in Real-World Data Sources through Automated Extraction of Psychiatric Comorbidities and Medication Side Effects from Clinical Notes. This poster was also a Top 5% Finalist for the ISPOR 2024 Research Presentation Awards. View the full poster >>
Real-World Characterization and Management of Alopecia Areata Patients in the U.S.
MAY 16, 2023
View our poster on Real-World Characterization and Management of Alopecia Areata Patients in the U.S. Click to view!
EBOOKS
2024 Data Insights
DEC 18, 2024
In 2024, AI revolutionized drug development in the broader pharmaceutical landscape. Companies increasingly integrated AI to accelerate research, optimize clinical trials, and personalize patient care. This trend underscores the growing importance of AI-driven solutions in enhancing patient treatment efficiencies and outcomes. OM1 is at the forefront of this transformation – our award-winning, patented AI-powered digital phenotyping[…]
Real-World Analytics: A Complimentary Suite of Analytic Reports
JUL 15, 2024
A complimentary suite of analytic reports for understanding the reasons behind medication discontinuation, patient outcomes, and prescribing behaviors. Introduction to Real-World Analytics Reasons for Discontinuation Report Comparative Outcomes Report Prescriber Trends Report Meet our Experts View the ebook >>
VIDEOS
PhenOM: AI Solutions
JUL 16, 2024
PhenOM® is an artificial intelligence (AI)-powered digital phenotyping platform trained using OM1’s repository of linked EMR, claims and other data covering more than 300 million patients. The richness of the source data lets these phenotypes capture many complex facets of the target patients’ journeys. View the video on YouTube >>
OM1 Aspen: Integrated Evidence Generation
JUL 16, 2024
OM1 Aspen leverages our proprietary data sourcing, processing and enrichment technologies, including electronic medical records harmonization, image management, advanced medical text processing and linkage, to deliver a more efficient, cost-effective and scalable approach to research. Tap into our networks or build new ones for automated evidence generation. Harness scientifically robust data from large and diverse[…]
NEWS & ARTICLES
OM1 to Present Groundbreaking Research on GLP-1 Agonists and Suicidal Ideation at ISPOR 2025
MAY 8, 2025
Read the full media alert >> BOSTON–(BUSINESS WIRE)–OM1: What: OM1, the leader in real-world data and AI-driven insights in mental health for life sciences, announced an upcoming poster presentation hosted by Jessica Probst, OM1’s Principal, Real World Evidence. The poster focuses on the linkage between Glucagon-like Peptide 1 Receptor Agonists (GLP-1s) and Suicidal Ideation (SI).[…]
OM1 Adds 1 Million Patients to Its Mental Health Network, Significantly Expanding Specialty Coverage and Driving New Possibilities for Real-World Research and Personalized Care
APR 22, 2025
Apr 22, 2025 9:01 AM Eastern Daylight Time BOSTON–(BUSINESS WIRE)–OM1, the leader in real-world data and AI-driven insights for mental health, today announced a significant expansion of its specialty mental health network, adding over one million patients, making it the largest, most clinically rich network of its kind. This milestone deepens OM1’s ability to power[…]
WHITE PAPERS
Standardized Library of Asthma Outcome Measures
APR 10, 2025
April 2019 Significant variation exists in both the types and definitions of outcome measures used in patient registries, even within the same clinical area. This variation reduces the utility of registries, making it difficult to compare, link, and aggregate data across the spectrum of clinical care and reporting. To address these limitations, the Agency for[…]
Standardized Library of Atrial Fibrillation Outcome Measures
APR 10, 2025
November 2018 Significant variation exists in both the types and definitions of outcome measures used in patient registries, even within the same clinical area. This variation reduces the utility of registries, making it difficult to compare, link, and aggregate data across the spectrum of clinical care and reporting. To address these limitations, the Agency for[…]
WEBINARS
Hard to Define, Harder to Find: The Latest in AI Applied to Real-World Data to Understand & Predict Treatment Resistant Depression
MAY 7, 2025
Register >> June 26, 2025 2:30pm ET Mental health conditions can take a staggering toll on an individual physically, socially, and financially. Many patients languish without effective treatment even though new options are constantly entering the market. There has to be a better, more precise way to identify patients with and at risk for treatment-resistant depression[…]
Rethinking Evidence: Leveraging Real-World Data to Accelerate Drug Development
APR 14, 2025
Register >> Thursday, May 8, 2025 | 12:00-1:00PM EST As drug development becomes more complex and personalized, traditional randomized controlled trials (RCTs) are no longer sufficient to answer every research question—particularly in rare diseases, and situations lacking head-to-head comparisons. Regulators, payers and other stakeholders are increasingly turning to real-world evidence (RWE) to address the gaps,[…]