HIPAA
SOC 2 Type II
ISO 27001
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Certifications and Accreditations
Deployment context changes what the assistant needs to do and how strict the compliance boundary has to be.
Bring your EHR stack and current workflow. We'll map what a build looks like against it.
Talk to an Engineer
Patient history lives across three or four systems that were never built to talk to each other, so the assistant either integrates properly or works with stale data.
Every conversation touching protected health information needs an audit trail, and that requirement doesn’t pause for a pilot.
An assistant tuned to escalate everything just moves the bottleneck from the phone queue to the nursing station.
A technically correct assistant that clinicians route around isn’t solving anything.
Compliance for an AI assistant isn't a checkbox on top of the build, it's a decision made inside the architecture. A HIPAA-ready application has to account for where PHI lives at every stage, including inside model logs and retrieval layers, not just the database.
See Compliance DetailsEvery build starts from the same four capability layers, then gets tuned to the specialty and the systems it has to talk to.
Structured conversation flows built on current clinical guidelines flag urgency and route patients to home care, a virtual visit, or the ER, with every decision logged for review.
Natural language booking that checks provider calendars and insurance eligibility in the same exchange, then sends reminders timed to cut no-show rates.
The assistant reads relevant patient context through FHIR-based access instead of asking patients to repeat their history at every touchpoint.
Anything outside a defined confidence threshold, emotional distress, or a red-flag symptom hands off to a live staff member automatically.
A virtual assistant that can’t read or write to the patient record creates more work for staff than it removes. Every build maps to your actual patient engagement platforms and EHR stack before a single conversation flow gets designed.
Epic: Integration through FHIR R4 and Interconnect for scheduling, patient summaries, and messaging.
Oracle Health (Cerner): HL7 v2.x feeds for real-time patient status and lab result delivery.
Athenahealth and MEDITECH: API-level sync for appointment data and billing eligibility checks.
Wearables and RPM devices: Ingesting vitals data for chronic care check-ins without a separate portal.
Practice management systems: Two-way sync so scheduling changes made by the assistant reflect immediately for staff.
We map clinical workflows, identify which conversations touch PHI, and determine early whether any capability triggers SaMD classification review.
We design the NLP conversation flows and pick the integration pattern for your EHR before any model gets fine-tuned or deployed.
We build the assistant against your actual systems using FHIR and HL7, not a sandbox that gets rebuilt at go-live.
We run the assistant against real clinical scenarios and penetration-test the PHI handling path before anyone outside the team touches it.
We launch with audit logging active from day one and monitor escalation accuracy through the first weeks of real patient traffic.
Most builds fall between $15,000 for a single-department pilot and $90,000 or more for a full EHR-integrated deployment. Tell us your scope and we'll give you a real number.
Get a technical walkthrough of what integrating with your EHR would actually take.
We're not a staffing agency renting out human virtual assistants, and we're not selling a licensed product you'd have to adapt to. We build the assistant your team owns.
Full source code and model configuration handoff at delivery, under NDA by default, so nothing you paid for stays locked to us.
Real interoperability with Epic, Oracle Health, and athenahealth, engineered by developers who've worked inside those systems before, not a chat widget bolted onto a website.
Our development methodology embeds security review into every sprint instead of running it as a final gate before launch.
L1, L2, and L3 support options mean a production issue at 2 am has a defined response path, not a ticket queue.
Their agile way of working, competence, and friendliness are impressive.December 7, 2024
Citrusbug Technolabs handles a data extraction project for an education company. They're also responsible for managing an AI generation project for the client.
Citrusbug Technolabs has laid out and followed a clear project outline and consistently met deadlines. The team communicates well and demonstrates a strong understanding of the client's vision and goals. Their agile approach, high level of competence, and personable approach stand out.
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Their communication and ability to capture exactly what I was asking for were impressive.November 14, 2024
Citrusbug Technolabs built an automated system for a veteran medical company. The system needed to collect and store user data, generate customized letters based on surveys, and use AI to summarize reviews.
Citrusbug Technolabs delivered a functional automated system that successfully organized the client's records and auto-generated statements. The team was quick to respond, addressed all roadblocks, and communicated effectively. Overall, their ability to understand the client's needs stood out.
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They were very calm and talented, and they did bring some of their own ideas.January 28, 2025
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Citrusbug Technolabs has successfully developed an effective MVP. The team has delivered the project on time and almost within budget. Moreover, their responses have been timely. Overall, the team has been calm, talented, and innovative. This has led to the client's satisfaction.
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What stood out most about them was their personalized approach and sense of ownership in every aspect of the project."February 27, 2024
Citrusbug Technolabs built a Flutter cross-platform mobile app for an education company. They also developed two web apps and an admin panel and provided DevOps support for the client's infrastructure.
Citrusbug Technolabs' support successfully boosted the client's user engagement by 8x, resulting in an 85% retention rate. The reliable team demonstrated a dedication to delivering on time and promptly responding to concerns and adjustments. Their personalized, client-centric approach stood out.
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They didn't like the phrase "impossible to do", which made them very solution-oriented.February 19, 2024
A healthcare company hired Citrusbug Technolabs to design and develop a user-friendly application. The team provided tailored assistance to meet the client's requirements.
Citrusbug Technolabs successfully delivered an application that was ready for market. The team was highly professional and well-organized; they stayed focused throughout the engagement and were receptive to changes. Overall, they stood out for their trustworthiness and commitment to excellence.
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They're 100% on time and transparent throughout each stage of the project.February 24, 2024
A financial technology company has hired Citrusbug Technolabs to build a custom web application. The team handles the development and design of the app.
The project is ongoing, but the client has been satisfied with Citrusbug Technolabs' services. The team is very professional — they always respect timelines and provide regular updates to ensure everyone's on the same page. Also, their transparent approach makes them a trustworthy partner.
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"I do believe they are exceptional at where they stand."
Citrusbug Technolabs took on a mobile app development project for a Singapore-based development house. They were provided with UX designs to execute. Currently, they're finalizing and fine-tuning the product.
Citrusbug Technolabs contributed to the successful launch of the product, which has garnered over 10,000 users in just three months. The product has also received support from investors. They consistently followed-up with their progress and delivered at a speedy rate. The team is truly stellar.
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A single-department pilot typically runs 6 to 8 weeks. A full build with EHR integration and clinical validation runs 3 to 5 months, depending on scope.
Yes. Full source code and model configuration are handed over at delivery under an NDA, with no licensing dependency on Citrusbug afterward.
Yes. Integration runs through FHIR R4 and HL7 v2.x, covering Epic, Oracle Health, athenahealth, and MEDITECH depending on your stack.
Citrusbug signs the BAA directly with your organization, and it extends to every subprocessor in the pipeline, including the underlying LLM provider.
It escalates to a live staff member automatically once confidence drops below a defined threshold or a red-flag symptom is detected.
Only if it makes clinical recommendations rather than routing or scheduling. We review this during discovery, before any classification-triggering feature gets built.
We architect around retrieval rather than fine-tuning on PHI wherever possible, and enforce log retention limits so patient data doesn't persist in training pipelines.
Launch includes monitoring and a stabilization window. Ongoing L1/L2/L3 support is a separate, optional engagement based on your internal team's capacity.
