IMO Health

Helps clinicians document diagnoses accurately, manage problem lists, surface risk insights, and support coding and reimbursement in clinical workflows.

Strengthens surgical revenue integrity and supports scheduling and OR efficiency with standardized procedure terminology and code mappings.

Reduces terminology maintenance and gives clinical systems consistent data for reliable downstream workflows.

Makes fragmented clinical data more specific, reliable, and usable for workflows, analytics, interoperability, and research.

Turns fragmented clinical data into standardized, usable information for stronger insights, analytics, and interoperability.

Creates and maintains accurate value sets for patient cohorts, clearer insights, and compliant reporting.

Grounds healthcare data and AI in clinical context to support consistent interpretation, applications, and insights.

Helps healthcare organizations extract clinical insights and develop dependable AI applications grounded in clinical terminology.

Delivers clinically grounded, explainable answers while balancing accuracy and cost for healthcare tasks.

Develop and deploy clinical NLP solutions with tools for annotation, model training, pipeline building, review, and integration.

Provides one secure cloud platform to access and manage clinical terminology, reference data, and data-quality tools.

Identifies trial-eligible patients earlier and supports feasibility, site activation, and enrollment in EHR workflows.

Catches coding and documentation issues before claim submission to help reduce denials and revenue loss.

Supports specific diagnoses and accurate risk adjustment to help reduce coding-related denials and protect reimbursement.

Helps care teams capture complete, specific diagnoses for risk scoring, reimbursement, and audit readiness.

Accelerates evidence generation while preserving researcher oversight, transparency, and scientific rigor.

Keeps clinical coding aligned with evolving regulations to support compliance, interoperability, audit readiness, and reimbursement.

IMO Core

IMO Core is a point-of-care clinical terminology and documentation solution that supports specific diagnosis documentation, problem list management, coding validation, and risk adjustment. Mapped terminology, patient-record context, and workflow integrations support higher-quality patient data and more accurate coding. Capabilities vary by EHR channel and integration.

• Map Clinical Terms To Codes
  Mapped terminology connects varied descriptions of patient problems to billing codes and coding systems. Regular updates support alignment with regulatory standards.
• Capture More Specific Diagnoses
  Search prompts help clinicians record diagnoses with the required specificity during documentation.
• Flag Common Coding Errors
  Timely alerts help users identify coding issues during clinical or coding workflows, supporting accurate documentation and helping reduce denials.
• Clean And Organize Problem Lists
  Categorized problem lists help users locate relevant problems and reduce clutter from duplicate, outdated, or redundant entries.
• Surface Risk Adjustment Insights
  Relevant HCC and care-gap information appears in the problem list to support risk capture and follow-up during clinical workflows.
• Show Relevant Patient Context
  Associating medications, lab results, and other patient data with problems gives clinicians more context in the chart.
• Integrate With EHR Workflows
  Multiple integration options make IMO Core capabilities available through clinical workflows, with availability depending on the EHR channel and integrations.
• Extract Data From Clinical Notes
  IMO Clinical AI can surface relevant information from unstructured notes for use in clinical insights.
• View Insights Across Health Plans
  A consolidated view presents insights from multiple health plans together.

IMO Core Periop

IMO Core Periop provides a terminology and code-mapping layer for surgical workflows. It supports procedure-term governance with CPT and HCPCS mappings, procedure and laterality validation, and a standardized surgical dictionary. Its tools support scheduling, prior authorization, revenue-cycle workflows, case-duration accuracy, OR utilization, preference card alignment, and patient-facing documentation. Capabilities vary by EHR channel and integration.

• Improve Code Accuracy And Protect Revenue
  Accurate procedure-to-code mappings help reduce prior authorization errors and preventable denials, support claims and reimbursement workflows, and reduce the risk of missed revenue.
• Validate Eligibility Before Scheduling
  Checking procedure eligibility before scheduling helps teams identify coverage issues early and avoid costly denials.
• Catch Laterality Errors Before They Cause Denials
  Workflow validation helps teams identify missing or incorrect laterality modifiers before they lead to denials.
• Improve Scheduling And OR Efficiency
  Consistent, detailed procedure information supports accurate scheduling and coordinated perioperative workflows.
• Maintain An Audit-Ready Surgical Dictionary
  Centralized tools help teams maintain accurate mappings, monitor dictionary health, and track review activity.
• Improve Case-Duration Accuracy
  More precise case-duration information supports realistic scheduling and better OR utilization.
• Find Surgical Terms And Codes Quickly
  Searching by procedure name or code and checking existing dictionary terms helps teams review coding details and avoid duplicates.
• Streamline Setup And Supply Planning
  Aligning preference cards with surgical procedures supports efficient room setup, procurement, and supply chain management.
• Make Surgical Information Easier To Understand
  Patient-friendly terms can flow to patient-facing interfaces, making surgical documentation easier to access and understand.

IMO Core Procedure

IMO Core Procedure provides continuously maintained procedure, laboratory, imaging, and organism terminology with expert-curated mappings. It helps organizations reduce custom EHR dictionary maintenance and keep clinical systems aligned with evolving industry standards for downstream clinical and operational workflows.

• Align Terminology With Standards
  Connect clinical terminology to LOINC, CPT, and SNOMED CT through expert-maintained mappings.
• Standardize Clinical Terminology
  Use foundational terminology across procedure, laboratory, imaging, and organism data to establish more consistent clinical information.
• Reduce Dictionary Maintenance
  Spend less time on ongoing EHR dictionary updates.
• Reduce Terminology Inconsistency
  Reduce duplicate, outdated, and inconsistent terms to support a stronger foundation for procedure data.
• Improve Data Interoperability
  Keep systems aligned with standardized terminology and mappings to support data exchange and downstream workflows.
• Support Reliable Ordering
  Use consistent procedure terminology and mappings to support ordering across clinical systems.
• Support Reliable Reporting
  Use consistent clinical data to support reporting across systems.
• Support Clinical Analytics
  Provide consistent clinical data to support analytics across systems.

IMO Health Platform

The IMO Health Platform transforms fragmented clinical data into precise, standardized, structured information for healthcare workflows, analytics, and applications. Its capabilities include terminology-based extraction and normalization, clinical record management, documentation support, interoperability and regulatory support, diagnostic refinement, condition gap identification, patient identification, and evidence generation. Built on IMO Health’s Knowledge Graph, it provides a clinically grounded context layer for AI and data use across systems.

• Ground AI In Clinical Context
  Connected medical terms and clinical concepts provide AI systems with a clinically grounded context layer.
• Normalize Clinical Data
  Convert variable clinical terms and data into standardized information for workflows, analytics, and applications.
• Improve Diagnostic Specificity
  Use EHR context to refine diagnoses and review them for billing accuracy.
• Maintain Cleaner Patient Records
  Map unspecified content to codes and remove duplicative or irrelevant data to help maintain clinically coherent records.
• Refine Codes Using Plain Language
  Let clinicians use plain language to refine codes and document information relevant to risk and reimbursement.
• Support Interoperability Requirements
  Use maintained terminology and mappings to support data standards and interoperability across systems.
• Identify Missing Chronic Problems
  Review patient-record data to identify missing chronic problems and assess risk.
• Define Patient Populations Accurately
  Define patient populations using clinical data and manage code-set updates to keep cohorts current.
• Accelerate Literature Processing
  Process scientific literature faster to support evidence review.

IMO Precision Normalize

IMO Precision Normalize uses natural language processing and clinical terminology to transform unstructured clinical text and structured data into standardized information. It extracts clinical concepts, recognizes context and relationships, and maps diagnosis, procedure, medication, and laboratory data to standard codes. Flexible deployment, API integration, customizable processing pipelines, and mapped-data review support data standardization at scale for analytics, reporting, interoperability, and AI initiatives.

• Extract Concepts From Clinical Text
  Find clinically meaningful concepts in free-text documentation and make them available for standardization and downstream use.
• Map Clinical Data To Standard Codes
  Automate code mapping across clinical domains to support accurate, complete standardized data.
• Cover Multiple Clinical Coding Systems
  Map clinical data across code systems and domains to standardize information from diverse sources.
• Connect Related Clinical Concepts
  Reveals connections between concepts so extracted information retains relationships expressed in the source text.
• Preserve Context In Extracted Data
  Retain assertion, time, and section context associated with clinical concepts to support interpretation of standardized data.
• Process Clinical Terms At Scale
  Handle high volumes of clinical terms, with stated capacity of up to 300,000 terms per minute.
• Deploy Across Flexible Environments
  Choose hosted or self-hosted deployment and API integration to incorporate data extraction and standardization into organizational environments.
• Review And Adjust Mapped Data
  Let users review mapped information and accept or adjust it before downstream use.

IMO Precision Sets

IMO Precision Sets streamlines value set creation and maintenance with prepackaged sets and tools to build precise code groupings, manage updates, collaborate on reviews, and organize sets from a single dashboard. Organizations can use value sets to identify patient populations for quality reporting, reimbursement, and research.

• Build Precise Code Groupings
  Use terminology and code mappings to define clinical concepts and create value sets that describe patient groups.
• Accelerate Data Readiness With Curated Sets
  Start with value sets that can be used as-is or adapted across clinical and administrative libraries.
• Manage Sets From One Dashboard
  Centralize value set activities and record and review changes throughout their lifecycle.
• Review Updates Across Affected Sets
  Identify value sets affected by code releases and choose which updates to apply.
• Share Rules And Review Progress
  Share rules and progress online and contribute to reviews and alignment.
• Transfer Sets Across Systems
  Bring existing value sets into a shared library and export them for use across different systems.
• Identify Overlaps And Differences
  Review two sets side by side to see where their contents overlap or differ.

IMO Health Knowledge Graph

IMO Health’s Knowledge Graph connects clinical language, concepts, and codes in a deterministic context layer built on clinical expertise. It links concepts, relationships, and mappings derived from real-world clinical data and is continuously maintained and reviewed by clinical experts. The graph supports AI development, data normalization, interoperability, analytics, and clinical documentation workflows. Developers can access its context through direct queries and tools for applications or agents.

• Ground AI In Clinical Context
  Give AI systems clinically grounded context to help interpret healthcare information and produce consistent outputs.
• Connect Clinical Concepts And Codes
  Link clinical language, concepts, relationships, and codes so applications can work with aligned clinical meaning.
• Preserve Meaning Across Workflows
  Help applications and AI interpret clinical information beyond surface-level terms and preserve meaning across workflows.
• Keep Clinical Knowledge Current
  Rely on content maintained and reviewed by clinical experts as standards and requirements evolve.
• Retrieve Clinical Context
  Enable applications or agents to retrieve clinical context through direct queries and access tools.

IMO Clinical AI

IMO Clinical AI is a collection of domain-specific AI capabilities built on IMO Health clinical terminology and a semantically structured Knowledge Graph. Its models and NLP tools support clinical information extraction, annotation, model training, pipeline development, and retrieval-augmented generation. Human expertise and clinical content support applications including clinical trials, systematic literature reviews, and ambient documentation.

Category: AI Development Platforms

• Ground AI In Clinical Meaning
  Connect AI models to structured terminology and code mappings to support interpretation of healthcare language.
• Apply Specialized Clinical NLP
  Use specialized algorithms and reusable pipeline modules to recognize, extract, and map clinical information.
• Build And Refine Clinical AI
  Develop and customize clinical AI models and workflows with tools for training, pipeline construction, and prompt engineering.
• Validate And Refine Model Outputs
  Combine expert model development with human review to validate accuracy and correct machine predictions.
• Ground Generative AI In Clinical Data
  Supply language models with proprietary clinical context through retrieval-augmented generation.
• Accelerate Clinical Text Annotation
  Use intelligent suggestions and AI-supported pre-annotation to assist teams annotating clinical text.
• Reduce Manual Clinical Data Entry
  Support ambient technology and structured data generation to reduce manual entry.
• Identify Gaps Across Medical Records
  Find missing documentation across the medical record, including unstructured notes.
• Generate Cohort Definitions
  Generate cohort definitions for clinical and research workflows.
• Automate Dictionary Maintenance
  Automate manual work involved in maintaining and reconciling dictionaries.
• Review Regulatory Content Impacts
  Help users assess major regulatory impacts to content and accept or reject them.
• Summarize Clinical Content
  Support summarization and review of notes and publications for clinical and literature review workflows.
• Reduce Annotation Requirements
  Reduce comprehensive data annotation needs when creating customized pipelines.
• Support Multiple Data Modalities
  Use multiple data modalities in clinical AI workflows.

IMO Health's LLM

IMO Health’s LLM powers solutions with accurate, trustworthy, and explainable answers while balancing cost. It combines foundational language models with supervised machine learning, string similarity, embedded logic, and proprietary clinical content. Its service uses real-time vector stores and Knowledge Graphs derived from IMO Health data, with an orchestrator that routes requests to task-specific agents.

• Balance Accuracy And Cost
  Use different techniques for different query complexity, focusing LLM resources on difficult questions and traditional approaches on simpler ones.
• Ground Answers In Clinical Context
  Connect model responses to proprietary clinical content and structured medical concepts.
• Retrieve Relevant Clinical Knowledge
  Use real-time proprietary data stores to provide models with relevant clinical knowledge and editorial policies.
• Route Requests To Task-Specific Agents
  Direct application requests to an appropriate agent for processing.
• Enhance NLP With Clinical Content
  Combine NLP methods with clinical content, ontologies, and structured knowledge resources.
• Deliver Trustworthy, Explainable Answers
  Provide answers characterized as accurate, trustworthy, and explainable.

IMO Health NLP Development Toolkit

The IMO Health NLP Development Toolkit gives data scientists and NLP developers direct access to IMO Clinical AI technology to develop clinical NLP solutions. It provides tools for annotation, model training, pipeline development, review, and deployment, along with more than 50 domain-specific pipeline modules. Teams can build and customize pipelines using deep learning and rules, connect them to clinical terminology, and deploy through SaaS or on-premise options.

Category: AI Development Platforms

• Improve Clinical Text Annotation
  Use AI-assisted pre-annotation, suggestions, and collaboration to support clinical text annotation.
• Train Clinical NLP Models
  Build and train models in an environment designed for clinical NLP.
• Build Custom NLP Pipelines
  Create and customize clinical NLP pipelines with a drag-and-drop interface.
• Start With Proven NLP Modules
  Use domain-specific modules for common clinical NLP pipeline tasks.
• Validate And Refine Model Outputs
  Review and correct predictions and calculate accuracy metrics.
• Map Concepts To Clinical Terminology
  Map recognized clinical concepts to relevant IMO Health terminology.
• Deploy Pipelines Across Environments
  Choose deployment environments, integrate with supported formats, and containerize pipelines for scalability.
• Meet Stated Compliance Requirements
  Use a toolkit that is HIPAA, SOC 2, and AWS compliant.

IMO Studio

IMO Studio is a cloud-based SaaS platform and single entry point to IMO Health tools and capabilities. Users can access and manage clinical terminology, standardized reference data, code sets, data normalization, and value sets through a unified experience with user-level entitlements and audit logs. It also offers tools to compare, customize, and deploy terminology releases, retrieve coordinated SNOMED CT US reference data, and review data quality assessments.

• Access IMO Health Tools In One Place
  Reach IMO Health solutions and capabilities through a single platform with user-level entitlements and audit logs.
• Manage And Deploy Terminology Releases
  Access and compare releases, customize them, and deploy them with supporting reference data.
• Manage Clinical Data And Value Sets
  Work with terminology, code sets, and reference data, normalize data, and manage value sets.
• Identify Data Quality Opportunities
  Assess clinical documentation and compare organizational data with peers to identify opportunities to improve key metrics.
• Retrieve Coordinated SNOMED CT Data
  Retrieve SNOMED CT US reference data delivered with accompanying IMO terminology.

Clinical Trials

IMO Health’s clinical trials solution activates trial inclusion and exclusion criteria within existing EHR workflows. It uses clinician-authored documentation and normalized clinical terminology to support real-time feasibility, identify eligible patients at the point of care, and advance site activation, enrollment, and study execution. It supports multi-site, multi-EHR trials with versioned criteria and traceable data flow from EHR to EDC.

• Identify Eligible Patients At Documentation
  Identifying potential participants when documentation is recorded helps reduce delays, screen failures, and downstream corrections.
• Apply Consistent Versioned Trial Criteria
  Structured criteria help maintain consistent eligibility logic across sites and EHR systems.
• Activate Trial Workflows In Existing EHRs
  Activate trial logic within existing workflows with minimal configuration and no custom builds.
• Assess Feasibility With Live Patient Counts
  Protocol-aligned counts give teams a view of potential patient availability for feasibility assessment.
• Preserve Clinical Meaning Across Cohorts
  Normalized identifiers and auditable lineage help make feasibility estimates, cohorts, and downstream analyses reproducible.
• Reduce Manual Review And False Positives
  Reported reductions in manual review and false-positive matches help research teams focus effort on more relevant participants.
• Scale Traceable Data Flow Across Trial Sites
  Version-controlled data flow supports coordination across trial sites and EHR systems.
• Accelerate Site Activation
  Minimal setup and immediately available workflow tools help sites begin identifying participants sooner.

Denials prevention

IMO Health’s denials prevention solution uses upstream interventions to catch coding and documentation issues before claims are submitted. It identifies common coding errors, provides clinical guidance, and alerts clinicians to unmet medical necessity in native workflows. Organizations can configure alerts at the point of care or in claims editing as hard stops or passive reminders. Clinical terminology and coding logic support precise, consistent coding.

• Catch Errors Before Claim Submission
  Find and correct coding issues upstream to reduce denied claims and downstream rework.
• Flag Coverage Gaps During Care
  Surface unmet medical necessity during documentation and ordering to help address coverage issues before claim submission.
• Improve Coding Specificity And Consistency
  Use clinical intelligence to support specific and consistent coding across workflows.
• Fit Alerts To Existing Workflows
  Configure alerts to align with clinical and claims-editing workflows.
• Guide Providers Through Coding Decisions
  Help providers identify coding gaps and validate clinical coverage criteria.
• Validate Laterality Modifiers In Real Time
  Identify missing laterality modifiers before they create downstream claims risk.

Inaccurate coding

IMO Health helps organizations capture complete, specific diagnoses at the point of care. Its clinical terminology and knowledge layer connect nuanced terms to billable codes, while expert-managed code set maintenance keeps coding content current. The solution surfaces potential HCCs in EHR workflows and supports coding accuracy, risk adjustment, compliance, and revenue cycle integrity.

• Match Terms To Specific Codes
  Connect clinical language to billable codes to support accurate coding and reimbursement.
• Capture More Specific Diagnoses
  Capture diagnoses at the point of care so documentation reflects patient conditions and supports accurate coding.
• Surface Potential HCCs
  Identify potential missed HCCs and support risk capture during documentation.
• Reduce Coding-Related Denials
  Address coding precision issues to help reduce denied claims and protect revenue.
• Keep Coding Content Current
  Rely on expert-managed code set maintenance as coding requirements change.
• Integrate Guidance Into EHR Workflows
  Provide coding and documentation support within existing clinical workflows.
• Reclaim Coder Time
  Intelligent coding content can help reclaim coder time while reducing provider queries.

Risk adjustment solution

IMO Health’s risk adjustment solution surfaces insights from prior encounters, unstructured clinical notes, and payer data in problem lists and clinical workflows. It helps clinicians identify potentially missing HCCs and chronic conditions, refine diagnoses with guided ICD-10-CM tools, and document patient complexity. Multi-payer insights and response tracking support collaboration and reduce manual follow-up and post-visit rework. The solution supports risk scoring, quality reporting, reimbursement, and audit readiness across multiple risk models.

• Capture More Complete HCC Data
  Give clinicians actionable HCC insights in existing workflows to help identify overlooked conditions and document patient complexity.
• Improve Diagnosis Specificity
  Capture a clearer picture of patient conditions to support risk scores that reflect population complexity.
• Coordinate Care And Payer Insights
  Bring payer care gaps and care team insights into clinical workflows to support collaboration and consistent data.
• Discover Conditions In Clinical Notes
  Find relevant condition details in notes so clinicians can review and capture them.
• Strengthen Audit Readiness
  Identify prior-year documentation gaps and prepare for compliance reviews and RADV audits.
• Support Multiple Risk Models
  Apply risk adjustment insights across multiple models and populations.

IMO Precision Literature Review

IMO Precision Literature Review is an AI-enabled solution for systematic literature reviews. It supports literature screening, structured data extraction, and evidence synthesis using provider-native terminology. Researchers can define or import criteria without coding, search PubMed abstracts and authorized proprietary sources, and generate structured exports for evidence tables, publications, decisions, and health technology assessment submissions. Its configurable, LLM-agnostic platform supports different methodologies and output requirements, with human review to support reproducibility and scientific rigor.

• Find Relevant Literature Faster
  Automated searching and screening helps researchers identify relevant articles while reducing manual review.
• Keep Researchers In Control
  Reviewable outputs let researchers oversee AI-supported decisions and maintain traceability.
• Complete Reviews In Less Time
  Automating review steps can shorten evidence-generation timelines; reported results include faster processing and throughput.
• Tailor Criteria To Your Review
  Set criteria to align screening with the chosen research methodology and therapeutic focus.
• Turn Findings Into Structured Data
  Structured findings support evidence tables and downstream research and reporting.
• Ground Reviews In Clinical Terminology
  Provider-informed terminology supplies clinical context for discovery and interpretation of literature.
• Prepare Evidence For Research And Reporting
  Structured exports help teams use synthesized evidence in decisions, publications, and submissions.
• Adapt Reviews To Your Needs
  Configuration for methods, therapeutic areas, outputs, and team workflows supports tailored review processes.

Regulatory readiness

IMO Health maintains clinical terminology, mappings, and industry code sets to help organizations align with changing regulations, support compliance and audit readiness, and maintain accurate reimbursement. The solution supports readiness for CMS reimbursement policy changes and standardizes terminology for interoperability and quality reporting, including evolving USCDI and CMS-0057-F requirements.

• Keep Clinical Codes Current
  Apply maintained terminology, mappings, and code sets to keep clinical and coding content aligned as standards evolve.
• Support Compliance And Audit Readiness
  Align terminology with evolving regulations and operationalize changes to support compliance and audit readiness.
• Support Accurate Reimbursement
  Maintain alignment between clinical terminology, coding, and changing requirements to support accurate reimbursement.
• Prepare Workflows For CMS Changes
  Prepare workflows for changing CMS policies, including risk adjustment and site-of-care changes.
• Align Data With Evolving Standards
  Standardize terminology and mappings to support data exchange, quality reporting, and changing requirements.