# Intelligent Medical Objects

Intelligent Medical Objects is an Asset Manager based in Rosemont, United States.

## Overview

- **Organization type:** Asset Manager
- **Headquarters:** Rosemont, United States
- **Region:** North America
- **Address:** 9600 West Bryn Mawr Avenue, Suite 100, Rosemont, IL 60018, United States
- **Assets under management:** Undisclosed
- **Website:** imohealth.com
- **LinkedIn:** https://www.linkedin.com/company/intelligent-medical-objects

## Regulatory record

- **Reports private funds:** No

## About

IMO Health is an AI-native clinical data intelligence company. Its clinician-built ontology and intelligent knowledge graph enable accurate, interoperable, AI-ready data at scale. It transforms fragmented clinical documentation into structured, contextualized data that fuels AI models, accelerates workflows, and delivers measurable outcomes across health systems, life sciences, and health tech. Its proprietary terminology has been built, curated, and clinically validated over 30 years.

## Sectors

- Digital Health
- Healthcare Services
- AI/ML

## Offices

- 30 West Monroe Street, 18th floor, Chicago, IL 60603

## People

- Michael Klozotsky — Contact

## Questions

### Who leads IMO Health?

The firm's public-facing website does not name a CEO or CIO, listing only Michael Klozotsky as a contact for general inquiries. Operational leadership is not publicly disclosed on its corporate pages.

### How does IMO Health's clinical ontology work as a structural asset?

Physicians and terminologists have built and curated a proprietary dictionary over 30 years that maps clinical terms to billing, procedure, lab, and medication codes. This ontology acts as a translation layer, converting unstructured clinical documentation into standardized, machine-readable data. Because it integrates into existing EHRs, NLP tools, and analytics pipelines, the terminology itself becomes a dependency across a health system’s software stack, embedding IMO into multiple workflows rather than one discrete function.

### What specific problems do IMO Health's products solve?

IMO Precision Normalize addresses real-world data quality issues by standardizing and enriching structured and unstructured data for analytics and AI model development. IMO Core products aim to improve point-of-care documentation accuracy, reduce denials by capturing details like laterality, and reduce manual coding intervention. The firm also markets solutions for clinical trial matching, risk adjustment coding, and speeding up systematic literature reviews.

### Which health systems or partners does IMO Health work with?

Public case studies feature MetroHealth, where IMO tools boosted reimbursement and reduced denials, and Nationwide Children's, which strengthened data infrastructure and interoperability. The firm lists a partnership with Redox aimed at enhancing clinical data quality nationally. It also publishes joint research, including JAMIA studies on generative AI for literature reviews.

### Is IMO Health an AI company or a terminology company?

Its current branding explicitly frames it as an AI-native clinical data intelligence company. The underlying asset is the clinician-built ontology, but IMO Health now markets its knowledge graph as the foundation for AI models, machine learning, and advanced analytics. Its products feed denials management, risk adjustment, and clinical trial use cases that employ AI-driven categorization.

### Does IMO Health sell into the life sciences sector?

Yes. The firm targets life sciences alongside health systems and health tech, promoting its ability to prepare real-world data for clinical trials and systematic literature reviews. Its website includes customer quotes about accelerating raw data into usable formats for life sciences organizations.

### Where are IMO Health's offices located?

The firm's primary address is in Rosemont, Illinois, with an additional office on West Monroe Street in Chicago. Contact details list a support phone line and a UK-resident number for European inquiries.

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Last updated: 2026-08-11T15:07:05.535Z

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