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Aidoc Staff

Nine Essential Considerations When Choosing a Clinical AI Vendor 

aiOS, C-Suite, Data Management, Patient Management, Workflow

Oftentimes clinical teams drive AI adoption, and while they are a crucial stakeholder, a facility cannot overlook the financial and operational considerations necessary for successful implementation. This includes considerations for how effectively the solution can be scaled and ongoing maintenance. 

When it comes to clinical AI, you aren’t simply selecting an algorithm, you are choosing a partner — and not all AI vendors are created equal. In fact, many do not offer the breadth of pathologies and modalities required to support an enterprise-wide solution. 

In a crowded AI marketplace, it is difficult to determine if a company can do what it claims. The topics below offer a high-level decision making framework to help find established potential partners for your facility.

Must have considerations for any clinical AI vendor

  • Market Traction: Ensure the company has a proven track record in live clinical environments. The actual deployment should be developed on an established use case basis to reassure of capability and depth of modality.
  • Clinical Validation: It is critical that any AI vendor demonstrates data accuracy from the outset and has plans in place to address data drift.
  • Regulatory Clearance: Regulatory clearances are mandatory for any clinical usage and testify to the quality of the solution alongside the technical maturity of the vendor. 
  • A Comprehensive Roadmap: An established clinical AI vendor should have a clearly defined roadmap of future modalities. The key is relevance to your workflow today and how they plan to evolve alongside your evolving needs in an ever-changing healthcare market.
  • Culture of Innovation: An AI partner should have a comprehensive portfolio while simultaneously investing in and validating new algorithms and solutions.
  • Seamless System Integration: The value of AI can only be realized when it is deployed at scale and adopted by end-users. This is possible with an enterprise-wide platform that connects multiple service lines and systems into a seamless user-experience.
  • Always On: AI tools need to be fully automated with 24/7 monitoring and analysis that works in real-time.
  • A Straightforward Deployment Model:  Your deployment must adhere to industry standards, be scalable and not require any ‘tricks’ to get it working. This not only alleviates pressure but minimizes downtime, IT lift and reduces risk. 
  • Ongoing Support: People and processes are what enable change – not simply the technology. Any AI vendor should be as prepared to stay and support as they were to sell.

Ready for the next step? If you’re not familiar with an AI platform versus point solution, brush up on the benefits of an AI operating system before contacting potential partners. During the first conversation, these 11 questions for IT to ask any AI vendor can help guide the discussion and determine how closely the company adheres to the must have considerations above. 

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