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OM1 Patient Finder

by OM1 · Based in United States → — Predict What's Next. Improve Outcomes. Healthcare decisions demand better evidence.

Dermatology Gastroenterology Rheumatology

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Regulatory Status Disclosed

Overview

OM1 Patient Finder is an AI-powered tool designed to accelerate clinical research and enhance patient care by identifying individuals most likely to be affected by specific target conditions. It utilizes OM1’s extensive real-world data (RWD) platform, which includes de-identified patient data from various sources, to provide a comprehensive view of patient populations.

For physicians and researchers, this tool streamlines the process of finding suitable patients for clinical trials, observational studies, and specialized care programs. By applying advanced AI algorithms to a vast dataset, OM1 Patient Finder can pinpoint patients with specific diagnoses, comorbidities, treatment histories, and demographic profiles that match complex inclusion/exclusion criteria.

The platform aims to improve research productivity by reducing the time and resources typically spent on patient recruitment. It also supports clinical decision-making by helping healthcare providers identify patients who might benefit from specific interventions or who are at higher risk for certain conditions, enabling more proactive and personalized care strategies.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

AI-powered patient identification
Access to extensive real-world data (RWD)
Customizable patient cohorts
Disease prevalence and incidence analysis
Treatment pathway insights
De-identified patient data
Cohort analytics and visualization

Use Cases

Clinical trial recruitment
Observational study cohort identification
Rare disease patient finding
Identifying patients for specialized care programs
Market access and commercialization strategies
Real-world evidence generation

What Physicians Need to Know

Evidence Base

OM1 Patient Finder leverages real-world data (RWD) and real-world evidence (RWE) from a vast network of de-identified patient data, including electronic health records, claims, and other sources. This data is used to identify patients matching specific clinical criteria.

Clinical Workflow Integration

Designed to integrate into existing clinical workflows, OM1 Patient Finder helps identify eligible patients for clinical trials, specific treatments, or interventions. It streamlines the process of finding patients who meet complex inclusion/exclusion criteria.

Decision Audit Trail

The platform provides transparency in how patient cohorts are identified, allowing for an audit trail of the criteria used and the patient populations generated. This supports understanding the basis of patient identification.

Physician Tip

Physicians can utilize OM1 Patient Finder to quickly identify patients who meet specific criteria for clinical trials, specialized treatments, or disease management programs. This tool is particularly useful for rare diseases or complex patient cohorts where manual identification is time-consuming and challenging. It can enhance patient recruitment efficiency and ensure patients receive timely access to appropriate care pathways.

OM1 Patient Finder is designed to integrate with various healthcare data systems, including EHRs and claims databases, to access and analyze real-world patient data. Its primary integration is with data sources to build comprehensive patient profiles for identification purposes.

At a glance

Deployment Cloud Based

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Details

Category	Clinical Decision Support & Reference, Drug Discovery & Research, Population Health Analytics
Pricing	Unknown OM1 does not publicly disclose pricing information for its Patient Finder or other platform solutions Pricing is likely customized based on client needs and scope of services
Deployment	Cloud-based
Mobile App	None
API Available	Unknown
Data Export	Unknown
Languages	English
Training	Unknown
Compliance
BAA Available	Yes AI-estimated
HIPAA Compliant	Yes AI-estimated
FDA Status	Not applicable AI-estimated OM1's PhenOM AI model has been used in studies with successful regulatory submissions for new label indications, but there is no indication of direct FDA clearance for the Patient Finder product itself.
Integrations
EHR	Not specified
Specialties	Dermatology, Gastroenterology, Rheumatology

Social Proof

Customers	unknown
Notable	unknown

Support & Reliability

Training Provided

Unknown

What the Web Says

OM1 Patient Finder leverages AI and a vast Real-World Data Cloud to identify patients most likely to have specific conditions, aiming to improve research efficiency and clinical decision-making. It integrates diverse data types, including electronic medical records, claims, and social determinants of health, with a median of 10 years of longitudinal follow-up data. The platform is designed to provide rapid, accurate, and cost-effective access to research-grade insights for various healthcare stakeholders.

Overall: Positive

Strengths

Utilizes proprietary, cutting-edge AI technology for patient identification and predictive modeling.
Integrates a wide range of data sources, including EMRs, claims, and social determinants of health, for comprehensive patient insights.
Offers extensive longitudinal patient data (median 10 years) for understanding long-term patient journeys.
Aims to improve research efficiency and clinical decision-making.
Provides rapid, accurate, and cost-effective access to research-grade insights.
Supports various healthcare stakeholders, including life sciences, providers, payers, and researchers.

Limitations

No specific cons found in the provided search results regarding OM1 Patient Finder.
General challenges for OM1 as a company include reliance on data access agreements and potential delays in studies due to budget tightening from Big Pharma customers.
Competition from other real-world evidence providers like IQVIA, Flatiron Health, and EHR vendors.

Based on reviews from: SourceForge, Google Medical Imaging Suite vs. OM1 Comparison, OM1 Official Website, Simplify (OM1 Employment Reviews), Ortho Spine News

Last updated: 2026-10-04

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Press & Coverage

Dermatology Times

Navigating Rare Dermatologic Diseases Using Artificial Intelligence

An article discussing how OM1's Patient Finder, built with digital phenotyping AI technology (PhenOM), helps identify patients with rare dermatologic diseases by understanding patterns in their data histories. It also addresses how clinicians can trust AI tools in medicine.

2024-02

Dermatology Times

Rare Disease Detection With AI: What Tools to Trust

This article highlights OM1's Patient Finder as an exciting AI tool that uses digital phenotyping to identify and diagnose rare diseases by analyzing patient data patterns. It emphasizes the tool's ability to detect early warning signals and improve data collection for undiagnosed conditions.

2024-02

Clinical Kidney Journal

Artificial intelligence: a new field of knowledge for nephrologists? | Clinical Kidney Journal

This peer-reviewed article mentions OM1 Patient Finderu2122 as an AI tool used in nephrology for diagnosis and prediction, specifically in identifying patients with ADPKD. It also discusses the broader implications of AI in nephrology and the need for training healthcare professionals.

2023-12

PMC (Orphanet Journal of Rare Diseases)

A new approach to identifying patients with elevated risk for Fabry disease using a machine learning algorithm - PMC

This article describes an AI tool, OM1 Patient Finderu2122, used to identify patients with Fabry disease by analyzing health history data. The study assessed its statistical performance and its use of different features in healthcare records.

unknown

PMC (Journal of Clinical Medicine)

Supporting the Diagnosis of Fabry Disease Using a Natural Language Processing-Based Approach - PMC

This peer-reviewed article references OM1 Patient Finderu2122 as an effective AI tool for identifying patients at high risk for Fabry disease, noting its AUC of 0.82. It highlights the potential of AI and NLP methods in leveraging large-scale EHR databases for diagnosis.

2023-05

OM1

Patient Identification in Rare Diseases - OM1

This case study from OM1 describes their proprietary Patient Finder tool, which uses AI to identify key patterns in medical histories signaling undiagnosed rare diseases. It highlights strong predictive performance and the ability to clarify diffuse symptoms.

unknown

SourceForge

OM1 vs. Ontosight.ai Comparison - SourceForge

This comparison page mentions OM1 Patient Finder as utilizing proprietary, cutting-edge AI technology integrated with the OM1 Real-World Data Cloud to identify patients with the highest likelihood of having a target condition.

unknown

Slashdot

Compare OM1 vs. Veradigm Real-World Evidence in 2026 - Slashdot

This comparison highlights OM1 Patient Finder's use of advanced AI technology integrated with the OM1 Real-World Data Cloud to identify patients and provide research-grade insights into effectiveness, value, and safety.

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Videos

Product demos, reviews, and walkthroughs for OM1 Patient Finder.

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Frequently Asked Questions

How does OM1 Patient Finder integrate into my existing clinical workflow and EMR system?

OM1 Patient Finder is designed to integrate with various EMR systems, often through secure, HIPAA-compliant data exchange protocols. The specific integration method can vary, but the goal is to minimize disruption to your current workflow by providing patient insights directly within or alongside your existing clinical decision support tools.

What kind of data does OM1 Patient Finder use to identify patients, and how is patient privacy ensured?

OM1 Patient Finder leverages real-world data, including de-identified electronic health records, claims data, and other relevant datasets, to identify patients who meet specific clinical criteria. Patient privacy is paramount, and the platform utilizes advanced de-identification techniques and operates under strict HIPAA compliance to ensure that no protected health information is directly accessible or used in the identification process.

Can OM1 Patient Finder help me identify patients for specific clinical trials or specialized treatment programs?

Yes, OM1 Patient Finder is particularly useful for identifying patients who meet precise inclusion and exclusion criteria for clinical trials, registries, or specialized treatment programs. You can define specific clinical parameters, biomarkers, treatment histories, and other relevant factors to pinpoint eligible patients within your patient population or a broader dataset.

What are the potential limitations of OM1 Patient Finder, and how might data quality affect its accuracy?

While powerful, OM1 Patient Finder's accuracy is inherently dependent on the quality and completeness of the underlying real-world data. Limitations can include biases present in the source data, missing information, or variations in coding practices across different healthcare systems. OM1 employs data curation and validation processes to mitigate these issues, but it's important to consider the potential impact of data quality on the identified patient cohorts.

Are there alternatives to OM1 Patient Finder, and what differentiates OM1's solution?

Several solutions exist for patient identification and cohort building, ranging from internal EMR querying tools to other real-world data platforms. OM1 Patient Finder differentiates itself through its focus on high-quality, deeply phenotyped real-world data, advanced analytical capabilities, and expertise in specific therapeutic areas, allowing for more precise and nuanced patient identification beyond basic demographic or diagnostic codes.

How does OM1 Patient Finder ensure compliance with regulatory requirements like HIPAA and GDPR?

OM1 Patient Finder is built with robust compliance frameworks to adhere to stringent regulatory requirements such as HIPAA in the United States and GDPR in Europe. This includes comprehensive data de-identification processes, secure data handling protocols, regular security audits, and strict access controls to protect patient privacy and ensure data governance.

What is the typical pricing model for OM1 Patient Finder, and how is it structured for different practice sizes or research needs?

The pricing model for OM1 Patient Finder can vary depending on the scope of use, the size of the practice or research institution, and the specific features and data access required. Typically, pricing might be structured as a subscription model, per-query basis, or a customized package. It's best to consult directly with OM1 for a detailed quote tailored to your specific needs.

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