Supportiv partners with health plan and employer clients to fast-track members to precise care, services, and resources, using just their everyday communication, with its Natural Language Navigation® (NLN) service.
The process of finding medical care, information or mental health support can be cumbersome, impersonal, and exhausting. Why not try describing what’s going on in your life, in your own words, free from the clinical and medical jargon, and get exactly the kind of support you need back, instantly?
What if you could bypass spending hours sifting through random articles on the internet, or filling in long, impersonal questionnaires to decipher the right advice or support that you need for your everyday struggle?
Instantly route your people to the most relevant service or resource by offering them the ability to type what they’re seeking in their own everyday words, free from clinical terminology. Using patented machine learning capabilities and a proprietary corpus of over 176 million support and care-specific data points, Supportiv navigates each user to the precisely relevant and most helpful care or support in seconds.
Leverage Supportiv’s cutting-edge machine learning models within your platform, portal, site or app to enable instant routing to the most relevant and effective resources and services based on free-text responses.
Supportiv crawls the list, directory, or pages of benefits, services, and/or resources available to members for pre-tagging and pre-processing.
Supportiv leverages its proprietary language corpus to extrapolate all the myriad ways people might articulate their needs for each one of these possible services or resources, in their own regular, everyday, non-clinical language.
Supportiv identifies a single question that will be used by the partner population as a prompt for the free text description of what they need help with. As examples, it could be “What’s your struggle?®”, “How can we support you?”, or “Tell us, what’s going on?”
Supportiv leverages its patented capability to match a user’s unstructured text response to this question with the most relevant resource, in mere seconds, including presenting a user with the exact links or landing page for the right benefit, service, or resource.