IMO Clinical AI’s secret ingredient: Human intelligence

While the technology is certainly impressive, it’s the diverse and specialized human intelligence behind IMO Clinical AI that makes all the difference.
NLP in healthcare

It’s not uncommon to read stories and listen to podcasts where commentators speculate about artificial intelligence (AI) replacing human functions. While it’s possible that these predictions may come to pass, a look behind the curtain of seemingly magical AI-powered systems will often reveal human beings –highly skilled and intelligent human beings. 

This third blog post in our series on IMO Clinical AI (IMO Health’s AI platform) focuses on the people behind the technology. IMO Clinical AI combines various techniques ranging from supervised machine learning (ML) to the use of generative AI – specifically large language models (LLMs) – to address various clinical use cases. IMO Health is also a repository of highly curated and well-organized content relating to clinical concepts that have been harmonized to standard medical vocabularies. These curated datasets have been organized as vector databases and knowledge graphs which serve as critical force multipliers for AI-based systems.

Fueling LLMs, machine learning, and NLP in healthcare

To build and deploy a complex platform like IMO Clinical AI – which involves the use of technologies ranging from optical character recognition (OCR), natural language processing (NLP) pipelines that leverage supervised ML models, LLMs, vector databases, and knowledge graphs – requires a team with a wide array of skill sets. The difference between success and failure in deploying AI based systems boils down to the quality and expertise of the people behind those seemingly magical algorithms.

The following is a glimpse at the roles that converge and collaborate to make IMO Clinical AI a state-of-the-art healthcare NLP platform:

Roles Responsibilities
AI scientists
  • Develop, train, and continuously evaluate ML models for efficacy and bias prevention
  • Prompt engineering
  • Develop retrieval augmented generation or RAG-based approaches
AI architects
  • Provide strategic guidance on AI system architecture, scalability, and technology innovation
Semantic web engineers
  • Organize IMO Health’s highly curated and standardized clinical content into knowledge graphs that can be used in conjunction with LLMs to deliver high-quality results
Software engineers
  • Create APIs, containerize applications, create vector databases, and a lot more
Site reliability engineers
  • Provide the expertise to build, configure, and monitor the computational infrastructure need to operationalize IMO Clinical AI
Information security
  • Develop and implement policies to ensure that the use of GenAI adheres to healthcare regulations
  • Monitor and audit GenAI applications to safeguard patient data, ensuring it is securely stored, transmitted, and processed
Clinicians
  • Lead annotation guideline development
  • Provide subject matter expertise during model development
  • Validate results generated by OCR algorithms and NLP pipelines
Clinical annotators
  • Prepare annotation guidelines
  • Annotate clinical data to train ML models
Clinical terminologists
  • Understand and maintain the source data that populates vector databases and knowledge graphs
  • Verify the accuracy and completeness of codes assigned to information extracted from free-text clinical narratives
Product managers
  • Design the product roadmap and define success criteria in collaboration with clinicians, business stakeholders, and engineers
  • Identify healthcare industry gaps that are clinically significant, business meaningful, and technologically addressable
Project managers
  • Understand the technology and organize product deployment by leveraging specialized skills and project management methodologies

The listing of roles and responsibilities above is but a glimpse of what it takes to create and deliver IMO Clinical AI. To state the obvious, ultimately, it’s human intelligence that is driving advanced artificial intelligence at IMO Health.

Check out blog 1 and blog 2 in this series or click here for more details on IMO Clinical AI.

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