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GenAI on 🔥 (FHIR)

We developed an advanced healthcare interoperability application using GenAI and FHIR
Case Studies

GenAI on 🔥 (FHIR)

We developed an advanced healthcare interoperability application using GenAI and FHIR

We developed an advanced healthcare interoperability application using GenAI and FHIR

Blanc Labs has spent the last five years working with healthcare companies like Reliq Health Technologies and Shannex as well as partners like Smile Digital Health and AWS, on building healthcare interoperability platforms and technologies on the latest standards such as FHIR and HL7.

Given the excitement around Generative AI and Large Language Models (LLMs) and their potential to transform entire swaths of how we build and interact with technology, our healthcare team wanted to experiment with combining Gen AI tools with an FHIR standard to see if we could leverage it for a practical healthcare scenario.

As a result, our team developed a proof of concept that is meant to showcase the power of conversational AI tools to query an interoperable database of medical information.

For this PoC, we used OpenAI to query Health Samurai‘s FHIR platform, Aidbox.

 

 

Blanc Labs has spent the last five years working with healthcare companies like Reliq Health Technologies and Shannex as well as partners like Smile Digital Health and AWS, on building healthcare interoperability platforms and technologies on the latest standards such as FHIR and HL7.

Given the excitement around Generative AI and Large Language Models (LLMs) and their potential to transform entire swaths of how we build and interact with technology, our healthcare team wanted to experiment with combining Gen AI tools with an FHIR standard to see if we could leverage it for a practical healthcare scenario.

As a result, our team developed a proof of concept that is meant to showcase the power of conversational AI tools to query an interoperable database of medical information.

For this PoC, we used OpenAI to query Health Samurai‘s FHIR platform, Aidbox.

 

 

Why we did it

In our opinion, providing a conversational UI/UX to the end user will dramatically enhance the healthcare practitioner’s ability to access and act upon patient data on-demand instead of being limited by traditional web UI/UX.

The goal of building this prototype is to evaluate the strengths and weakness of Generative AI technologies to convert natural language instructions to corresponding FHIR API calls.

Digital health adoption
How Blanc Labs transformed for Reliq Health Technologies
82%
of clinicians say that they do not always have a summary of the care their patients received outside of their practice settingÂą
40 mins
is the additional time spent by clinicians per day searching for patient information from settings other than their clinical practice²

Source 1 and 2: Canada Health Infoway – Pan Canadian Interoperability Roadmap

Solution Approach Overview

We built a prototype that allows healthcare practitioners to access any arbitrary patient data simply by asking questions in natural language.

To develop this prototype, we leveraged OpenAI’s GPT3.5 APIs as the foundational LLM to convert natural language to a FHIR query that would be run on Health Samurai’s Aidbox FHIR platform. We fine-tuned the standard GPT3.5 LLM model using prompt-engineering techniques to better understand healthcare-based user instructions and matched it with corresponding standard FHIR APIs to retrieve the required data. The model was also fine-tuned to output the data in a non-technical, natural language format.

While it is built on Health Samurai’s Aidbox with OpenAI APIs, this application can be customized for other FHIR providers and other Gen AI APIs without making major changes to the fundamentals to the application.

Examples of questions we can ask the AI–Powered Knowledge Assistant

What is the number of patients in the system?

  1. Give me information about patient number XX*.
  2. What’s the name of patient number XXZ?
  3. Tell me about the last medical record of patient number YYT.
  4. I want to know about the conditions that patient number XYZ is presenting.

*In a real-life scenario, XX would be replaced with the patient ID

Denis Zavylov Health Samurai
Denis Zavylov Health Samurai
Denis Zavyalov
Product Manager, Health Samurai

Blanc Labs has developed an innovative Proof of Concept that leverages Generative AI and our FHIR platform, Aidbox, to enable natural language access to patient data through FHIR APIs. We believe this could have
mainstream application around healthcare data accessibility leading to enhanced patient care.

Gen AI on 🔥 Techstack

What’s next?

Our intention is to enhance the demo to support more complex queries involving more than one FHIR API call as well as supporting richer output formats like charts & tables.

We’d also like to hear from the FHIR community on their thoughts about how to take this to the next level. Please participate in the brief questionnaire below to provide you input and feedback.

What did you think of this initiative? Give us your feedback in the form below.

 

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