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AI and Predictive Medicine

Leveraging AI to make healthcare more measured, pre-emptive, and precise.

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OM1 uses AI and big clinical data to dramatically improve research efficiency and clinical decision-making through high performance predictive models.

 

OM1 Patient Finder
Rare Disease
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OM1 Medical Burden Index

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News & Articles

Weight gain and comorbidities associated with oral second-generation antipsychotics: analysis of real-world data for patients with schizophrenia or bipolar I disorder

Published: February 14, 2022 BMC Psychiatry Read the Full Article >> Background: Many second-generation antipsychotics (SGAs) are associated with weight gain and cardiometabolic effects. Antipsychotic-associated weight gain is linked to treatment interruptions, potentially increasing risk of relapse and hospitalization. This retrospective study assessed clinically significant weight gain (CSWG), treatment interruptions, and development of cardiometabolic conditions[…]

Real-world evidence analysis of the impact of steroid-eluting implants on healthcare resource use among chronic rhinosinusitis patients undergoing sinus surgery

Published: January 20, 2022 Taylor & Francis Online Read the Full Article >> Objective: To compare healthcare resource use (HCRU) in patients undergoing sinus surgery with or without steroid-eluting sinus implants Methods: A retrospective, observational cohort study using real-world evidence data (OM1, Inc, Boston, MA, USA) was conducted on adult patients with chronic rhinosinusitis (CRS)[…]

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Webinars

Advancing Personalized Medicine for Health Plans: How AI and RWE can improve outcomes, reduce costs, and improve member engageme

Tue, Oct 18, 2022 11:00 AM – 12:00 PM EDT Presenter: Joseph Zabinski, Senior Director, AI & Precision Medicine, OM1 Register >> As population health moves towards personalized, precision medicine, optimizing treatment options and reducing ineffective care will be critical to plans’ success and differentiation in highly competitive environments. Real-world evidence drawn from deep datasets[…]

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[…]

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