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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

u003ch2u003eWe developed an advanced healthcare interoperability application using GenAI and FHIRu003c/h2u003ernBlanc Labs has spent the last five years working with healthcare companies like u003ca href=u0022https://www.reliqhealth.com/u0022 target=u0022_blanku0022 rel=u0022noopeneru0022u003eReliq Health Technologiesu003c/au003e and u003ca href=u0022https://shannex.com/u0022 target=u0022_blanku0022 rel=u0022noopeneru0022u003eShannexu003c/au003e as well as partners like u003ca href=u0022https://www.smiledigitalhealth.com/u0022 target=u0022_blanku0022 rel=u0022noopeneru0022u003eSmile Digital Healthu003c/au003e and AWS, on building healthcare interoperability platforms and technologies on the latest standards such as FHIR and HL7.rnrnGiven 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.rnrnAs 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.rnrnFor this PoC, we used OpenAI to query u003ca href=u0022https://www.health-samurai.io/u0022 target=u0022_blanku0022 rel=u0022noopeneru0022u003eHealth Samuraiu003c/au003e’s FHIR platform, Aidbox.rnrnu0026nbsp;rnrnu0026nbsp;

Blanc Labs has spent the last five years working with healthcare companies like u003ca href=u0022https://www.reliqhealth.com/u0022 target=u0022_blanku0022 rel=u0022noopeneru0022u003eReliq Health Technologiesu003c/au003e and u003ca href=u0022https://shannex.com/u0022 target=u0022_blanku0022 rel=u0022noopeneru0022u003eShannexu003c/au003e as well as partners like u003ca href=u0022https://www.smiledigitalhealth.com/u0022 target=u0022_blanku0022 rel=u0022noopeneru0022u003eSmile Digital Healthu003c/au003e and AWS, on building healthcare interoperability platforms and technologies on the latest standards such as FHIR and HL7.rnrnGiven 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.rnrnAs 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.rnrnFor this PoC, we used OpenAI to query u003ca href=u0022https://www.health-samurai.io/u0022 target=u0022_blanku0022 rel=u0022noopeneru0022u003eHealth Samuraiu003c/au003e’s FHIR platform, Aidbox.rnrnu0026nbsp;rnrnu0026nbsp;

u003cdiv class=u0022row-fluid-wrapper row-depth-1 row-number-11 dnd-rowu0022u003ernu003cdiv class=u0022row-fluid u0022u003ernu003cdiv class=u0022span12 widget-span widget-type-custom_widget module_1695071365669-margin dnd-moduleu0022 data-widget-type=u0022custom_widgetu0022 data-x=u00220u0022 data-w=u002212u0022u003ernu003cdiv id=u0022hs_cos_wrapper_module_1695071365669u0022 class=u0022hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_textu0022 data-hs-cos-general-type=u0022widgetu0022 data-hs-cos-type=u0022moduleu0022u003ernu003ch2u003eu003c/h2u003ernu003ch2u003eu003ciframe src=u0022//www.youtube.com/embed/Dc9G40qx72cu0022 width=u00221000u0022 height=u0022561u0022 allowfullscreen=u0022allowfullscreenu0022u003eu003c/iframeu003eu003c/h2u003ernu003ch2u003eWhy we did itu003c/h2u003ernu003c/divu003ernu003c/divu003ernu003c/divu003ernu003c/divu003ernu003cdiv class=u0022row-fluid-wrapper row-depth-1 row-number-12 dnd-rowu0022u003ernu003cdiv class=u0022row-fluid u0022u003ernu003cdiv class=u0022span12 widget-span widget-type-custom_widget dnd-moduleu0022 data-widget-type=u0022custom_widgetu0022 data-x=u00220u0022 data-w=u002212u0022u003ernu003cdiv id=u0022hs_cos_wrapper_module_1695071385599u0022 class=u0022hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_textu0022 data-hs-cos-general-type=u0022widgetu0022 data-hs-cos-type=u0022moduleu0022u003ernrnIn 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.rnrnThe 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.rnrnu003c/divu003ernu003c/divu003ernu003c/divu003ernu003c/divu003e

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 setting¹
40 mins
is the additional time spent by clinicians per day searching for patient information from settings other than their clinical practice²

u003cspan style=u0022font-size: 8pt;u0022u003eSource 1 and 2: Canada Health Infoway – u003ca href=u0022https://www.infoway-inforoute.ca/en/component/edocman/6444-connecting-you-to-modern-health-care-shared-pan-canadian-interoperability-roadmap/view-document?Itemid=101u0022u003ePan Canadian Interoperability Roadmapu003c/au003eu003c/spanu003ernu003ch2u003eSolution Approach Overviewu003c/h2u003ernWe built a prototype that allows healthcare practitioners to access any arbitrary patient data simply by asking questions in natural language.rnrnTo 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.rnrnWhile 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.rnu003ch2u003eExamples of questions we can ask the AI–Powered Knowledge Assistantu003c/h2u003ernWhat is the number of patients in the system?rnu003colu003ern tu003cliu003eGive me information about patient number XX*.u003c/liu003ern tu003cliu003eWhat’s the name of patient number XXZ?u003c/liu003ern tu003cliu003eTell me about the last medical record of patient number YYT.u003c/liu003ern tu003cliu003eI want to know about the conditions that patient number XYZ is presenting.u003c/liu003ernu003c/olu003ernu003cspan style=u0022font-size: 8pt;u0022u003e*In a real-life scenario, XX would be replaced with the patient IDu003c/spanu003e

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

u003ch2u003eWhat’s next?u003c/h2u003ernOur 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 u0026amp; tables.rnrnWe’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.rnu003ch4u003eu003cemu003eWhat did you think of this initiative? Give us your feedback in the form below.u003c/emu003eu003c/h4u003ernu0026nbsp;

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Start your Digital Transformation

As customer expectations grow, smaller banks and lenders must stay competitive and responsive. Consumer-facing examples—like the listings on https://nccdrc.org/online-casino-20-min-deposit-guide-australia/, which organize relevant digital services for Australian users—show how clear guidance can influence customer choices in crowded markets.