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Integration AI with our Company's Heath Support Website

  • Posted:
  • Proposals: 39
  • Remote
  • #4496553
  • Open for Proposals
Safeer H.24H DevelopersOsama Bin S.CYTNHIA W.Sapna D. + 34 others have already sent a proposal.
  • 1

Description

Experience Level: Expert
We seek an experienced developer to integrate advanced AI capabilities into our company’s Health Support website. The project entails implementing secure, HIPAA-conscious conversational agents, symptom triage and personalized guidance modules, seamless backend integration with existing EHR APIs, data anonymization, and analytics dashboards for usage insights. Deliverables include robust documentation, testing suites, and deployment support ensuring scalability, privacy compliance, and an intuitive user experience.

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Clarification Board Ask a Question

  • Eight Veer Ltd

    Could you confirm whether the symptom-guidance rules, privacy requirements and EHR API documentation are already defined and available, or whether those need to be created as part of the build?

  • Mahmood U.

    What level of “real responsibility” do you want the AI to carry here, just guiding users through symptoms and routing them, or actually influencing clinical decision pathways inside your existing EHR flow?

  • CYTNHIA W.

    * Which EHR platforms or healthcare APIs are already in use today, and are there any existing interoperability standards we need to follow (FHIR, HL7, SMART on FHIR, etc.)?

    * How do you want escalation handled when the AI detects high-risk symptoms or uncertain responses : direct human handoff, emergency guidance, appointment booking, or clinician review workflows?

    * Should the conversational AI maintain long-term patient context/history across sessions, or operate with minimal retained data for stricter privacy control?

    * Are there specific HIPAA/compliance requirements already defined internally (audit trails, encryption standards, data residency, access logging, BAAs, etc.)?

    * Will the symptom triage system follow your own clinical decision trees/protocols, or are you expecting the AI layer to generate recommendations more dynamically?

    * What level of personalization is expected — general health guidance, patient-specific recommendations based on EHR history, or adaptive care journeys over time?

    * Do you expect the AI to support multilingual conversations and accessibility requirements from the beginning?

    * For analytics and dashboards, what are the key business/clinical insights you want visibility into : engagement, symptom trends, escalation rates, appointment conversions, response quality, or operational efficiency?

    * Is the goal to launch a tightly controlled MVP first, or architect the system immediately for large-scale patient traffic and multi-provider support?