Immunology is complex. Getting valuable insights shouldn't be.

Improve R&D and precision medicine with Real-World Data and AI from OM1

OM1 is a leading technology-enabled health data company reimagining real-world data and evidence in specialized therapeutic areas.

OM1 develops large, electronically connected networks of clinicians in key specialty areas. This ebook explores powerful insights, analyses, and use cases from OM1’s Immunology Network.

Meet the largest Immunology data network in the U.S.

The OM1 Immunology network Includes millions of patient records from specialist and primary care practices. The network collects, processes, and deterministically links RWD from a variety of sources that are continuously updated.

Retrospective

Data from the Immunology network are available to license for in-house use or for custom research and analytics projects in partnership with OM1’s world class biostatisticians, epidemiologists, data scientists, and AI experts.

Prospective

Specialized prospective data capture is also available for hard to obtain patient-reported information or specialized clinical assessments that are not routinely captured in clinical practice for specific conditions.

In Immunology, OM1 offers access to real-world data (RWD) and AI applications, including the ability to:

Analyze patients using deep clinical data

Over a milllion patients with immunologic conditions in the U.S. followed prospectively with deep clinical information via EMR including progress notes, linked medical and pharmacy claims, encounter types, lab results, condition-related outcomes, prescribed medications, relevant treatments, and treatment response.

Quantify relevant condition subtypes

Evaluate unique treatment patterns and patient journeys within Immunologic condition subtypes derived from Patient Reported Outcomes (PROs), Social Determinants of Health (SDoH), Disease Activity Data and Disease Severity Scores.

Track patients with timely data updates

More than 95% of patients are deterministically linked and continuously updated with medical information and pharmacy claims data with a lag of less than 90 days.

Predict outcomes and relevant events

Using AI modeling, data science, and technology, longitudinal records provide outcomes from relevant medical history such as weight measurements, comorbidities, and treatment interruptions, in addition to signs, symptoms, and adverse events in representative patient cohorts.

What are the primary ways your department currently uses immunology real-world data?

Clinical Trial Design
Comparative Effectiveness Research
Natural History of Disease
Regulatory
Safety Requirements
Market Access / Value Demonstration
Market Intelligence
Clinical Decision Support
Health Equity
Other
Not using