OM1 partners with clinics, health systems, and medical and patient associations to support population health and patient identification, generate appropriate referrals and revenue for specialized services and provide reference data on potential treatment outcomes for decision-making. For value-based care, PhenOM® stratifies patient populations by association with costly and avoidable events. For quality improvement and research, OM1’s agentic framework lowers the cost of data entry for quality registries and participation in OM1’s research network offers new revenue from research studies.




PhenOM is trained on billions of years of patient history and tuned to highlight clinical phenotypes that may correlate with rare or under-diagnosed diseases, new onset conditions, and future medical events. Combined with OM1’s representative U.S. data, it offers data-driven insights to inform the assessment of individual and population outcomes.
OM1’s Agentic Health Data Framework provides a series of AI agents that identify cases, process and normalize data, automate abstraction from clinical notes and produce regulatory-ready data.

Identify and triage patients based on unrecognized conditions, health risks, gaps in care and opportunities for improvement.
Highlight patient subgroups matching clinical histories to defined phenotypes associated with complex disease patterns and potential clinical trajectories.
Flag patients matching criteria for specialty evaluations or guideline-based care steps, helping to close gaps and support service line opportunities.
Improve value-based care programs by stratifying populations based on historical utilization and clinical complexity associated with high-cost outcomes.
Inform treatment planning with data-driven context during patient consultations
Facilitate patient engagement by reviewing aggregate outcomes of clinically similar patient groups (phenotypes) regarding potential clinical scenarios (e.g., cardiovascular health or fall risk).
Access reference data on treatment pathways and historical outcomes to inform clinical and shared decision making.


OM1 developed a point of care outcomes tool engages patients and improves outcomes in knee osteoarthritis, demonstrated to improve shared decision making and patient results in two randomized clinical trials.

Support clinical and quality registries and research programs
Automate case identification and data abstraction for quality registries. License as a tool or a fully managed service, dramatically reducing cost.
Improve timeliness, reduce backlog, and lower burden for quality programs and other programs.
Enable faster, lower cost data capture for clinical, quality, safety, and outcomes research.

Generate new revenue opportunities with low burden studies and registries that advance medical research.
Receive regular opportunities for real world research programs across many therapeutic areas.
Leverage OM1 AI tools to more easily identify study patients, limit manual effort and burden and maximize benefit.

Built on our award-winning AI platform, OM1 solutions redefine how real-world evidence is generated, shared, and applied.
PhenOM® is OM1’s healthcare foundation model, trained on over 1 billion patient-years. It powers digital phenotyping and medical event prediction that accelerates diagnoses, uncovers subtypes, estimates treatment effects and forecasts outcomes for individuals and populations.
OM1 brings unmatched experience and automation to registries and observational studies, reducing burden for sites and patients while generating regulatory-ready evidence that’s fit for purpose, scalable, and cost-effective.
Access curated datasets and OM1's Real-World Data Cloud, covering 350M+ patients with linked, longitudinal data from EMR, claims, and specialty networks. License cohorts, analyze real-world outcomes, and generate insights that drive decision-making.
Work with OM1’s experts in data science, epidemiology, AI and regulatory strategy to design and execute fit-for-purpose programs, align evidence with requirements, and maximize the value of AI and real-world data.
From research and evidence to predictive insights and beyond.