Automate Patient Workflows With Intelligent Healthcare Chatbots

We build HIPAA-compliant healthcare chatbots that automate scheduling, reminders, intake, and patient queries, integrating directly with your EMR/EHR systems via FHIR and HL7 APIs, so your staff can focus on higher-value care.

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    Our Benefits

    All our solutions are built to meet clinical expectations, protect patient data, and remove the operational friction that usually slows digital transformation. 

    Compliance Built In From Day One

    Every solution is engineered on a foundation of HIPAA, GDPR, and healthcare-grade security. Encryption, access controls, and PHI-safe pathways protect patient information, including clinical notes and patient monitoring data.

    Smooth Integrations With Clinical Systems

    Structured HL7 and FHIR standards guide how the chatbot connects to systems such as Epic, Cerner, Allscripts, telemedicine platforms, and custom solutions. Bi-directional updates keep everything in clinical notes aligned without manual inputs.

    Clinically Accurate Conversational Intelligence

    We use NLU models trained on clinical datasets to interpret symptoms, generate SOAP notes, and integrate patient monitoring for safe, reliable guidance.

    Automated Support Across Patient Journeys

    Scheduling, reminders, refills, telemedicine triage, FAQs, and intake steps are handled through automated flows that lighten your staff's workload and shorten response times. Patients get instant support around the clock.

    Key Results

    Our healthcare chatbots have helped real teams engage patients faster, reduce repetitive work, and earn trust while keeping daily operations running smoothly.

    40%

    Increase in Patient Engagement

    Our chatbots have enabled patients to complete scheduling, intake forms, and prescription refills faster with 24/7 access, reducing no-shows and improving overall interaction rates.

    60%

    Reduction in Routine Administrative Workload

    By automating FAQs, reminders, and appointment scheduling, clinical teams have been able to focus on higher-value tasks, streamlining operations and reducing repetitive administrative effort.

    85%

    High Patient Satisfaction and Trust

    Secure, HIPAA-compliant interactions with clear escalation options have led to measurable improvements in patient satisfaction, reflecting trust and confidence in automated healthcare support.

    Our Healthcare Chatbot Development Process

    Every build follows a clinically aligned, security-first framework that ensures the chatbot is safe, accurate, interoperable, and ready for real patient use. 

    HIPAA Compliance and Data Protection

    We map PHI flows, access controls, and encryption from day one to ensure the chatbot meets HIPAA and GDPR requirements and aligns with your internal compliance rules.

    Data Models and Conversational Intelligence

    We define intent models, medical taxonomies, triage logic, and escalation rules. NLU design standards and clinical safety validation shape every conversational pathway.

    EHR/EMR and Core System Integrations

    We use HL7/FHIR APIs to connect with Epic, Cerner, Meditech, telemedicine platforms, and custom systems for bi-directional access to schedules, histories, notes, and appointments.

    Clinical Workflows and Patient Experience

    The chatbot aligns with real clinical workflows, including intake, triage, refills, reminders, FAQs, and multimodal patient journeys. It also supports remote patient monitoring (RPM) for vitals tracking, chronic care follow-ups, and long-term condition management.

    Development and Medical-Grade QA

    We build using Python, Django, React, Azure Speech-to-Text, HL7/FHIR APIs, and AWS HealthLake. The solution undergoes multi-layer testing, NLU scoring, safety simulations, and SME review.

    Deployment, Monitoring, and Continuous Optimization

    We deploy the solution on a HIPAA-compliant cloud and monitor NLU accuracy, patient safety, latency, and satisfaction. Continuous updates improve triage logic, RPM pathways, EHR/EMR sync speed, and compliance reliability.

    Industries We Serve

    We strive to deliver domain-specific solutions that align with the operational realities of each industry. The focus remains on precision that actually reduces workload and gets results.

    Real Estate

    From property inquiries to lead qualification, virtual viewing scheduling, and tenant support requests, our chatbots help real estate teams handle high volumes of queries quickly and professionally while keeping data organized across CRM systems.

    EdTech

    We build chatbots that assist with course navigation, student inquiries, admissions support, learning assistance, and attendance or assignment reminders. These solutions improve engagement and reduce manual administrative tasks for institutions.

    FinTech

    Our bots streamline customer support, onboarding, KYC assistance, transaction queries, and fraud notifications. Secure authentication, audit trails, and financial-grade data protection are built into every workflow.

    HealthCare

    We develop patient-facing and operational chatbots that support triage flows, appointment handling, clinical queries, and PHI-safe communication. Integrations with HL7 and FHIR ensure alignment with EMR systems and regulatory frameworks.

    Logistics

    We create automation-focused bots that help users track deliveries, manage dispatch inquiries, check fleet updates, and resolve operational questions instantly. Integrations with internal systems ensure real-time visibility across routes and orders.

    We Deliver Services

    We deliver diverse healthcare technologies that drive secure, compliant, and efficient clinical operations.

    Compliance (HIPAA / GDPR)

    We engineer HIPAA/GDPR-aligned infrastructure with PHI encryption, granular access control, audit trails, consent lifecycle mapping, and identity governance. HIPAA-compliant cloud deployment ensures legal and security readiness for enterprise-scale healthcare operations.

    Patient Apps

    We build patient-facing applications for scheduling, symptom reporting, RPM device syncing, medication adherence, and secure messaging. React, Azure Speech-to-Text, and HIPAA-compliant architectures ensure accessibility, clinical accuracy, and safe data pathways across every interaction.

    EHR / EMR Systems

    We develop and modernize EHR/EMR systems using HL7 and FHIR to automate charting, medication records, and longitudinal care histories. AWS HealthLake supports population-scale insights, cross-department visibility, and interoperability across diverse clinical systems.

    Clinical Workflows

    We digitize end-to-end clinical workflows, including triage decisions, referral routing, escalation logic, documentation triggers, and care plan automation. Python/Django and medical logic engines eliminate delays while protecting the clinical intent behind every task.

    Databases

    Delivers secure storage for user data, conversation history, and sessions, enabling context-aware responses and reliable backend support for your AI chatbot.

    Integrations

    We implement real-time API bridges connecting telehealth platforms, labs, pharmacies, wearables, billing systems, and EHR/EMR backbones. Data synchronization removes duplicate entries and supports uninterrupted coordination across clinicians, patients, and administrative teams.

    Our Clients

    Our reputation is built on creating great outcomes for clients.

    Case Studies

    Transforming workflows through applied AI

    We built an AI-driven chatbot that delivers personalized meal plans, calorie insights, and diet suggestions. It improved user engagement by 40% and reduced nutritionists’ manual workload by 90%, helping the platform scale personalized guidance without additional operational effort.

    DEVtrust developed a secure, automated system that simplifies medication schedules for chronic-care patients. With guided reminders, structured medication flows, and protected data handling, Precina achieved a 98% cut in manual effort and strengthened patient trust by 95%.

    What Our Clients say

    Our reputation is built on creating great outcomes for clients.

    Bob_mayo

    Working with DEVtrust was a game changer for us. Their expertise in developing a modern rate management system not only streamlined our operations but also enhanced our competitive edge in the freight industry.

    Bob Mayo

    Founder & CEO – Draydex, LLC

    mordy

    DEVtrust’s Ezeryeshiva app has transformed our appointment management process. The tailored user roles & efficient scheduling system have significantly reduced our workload & improved our service efficiency.

    Mordy Stern

    Project Lead – Ezeryeshiva

    DEVtrust has totally transformed our Real Estate Management Process. Their solutions are intuitive & have significantly reduced our manual workload, allowing us to focus more on our clients.

    Josiah Hyatt

    Founder | Lic. R. E. Associate Broker

    Upgrade to Automated, Error-Free Patient Communication

    Automate high-volume tasks, reduce response times, and seamlessly connect patient interactions to your EMR/EHR workflows—while improving engagement, minimizing errors, and keeping data secure across all systems.

    Frequently Asked Questions

    Can the healthcare chatbot handle sensitive patient information?

    Healthcare chatbots are built to operate in accordance with privacy and security standards, ensuring interactions follow data protection protocols while managing patient schedules, sending reminders, and handling general queries safely and confidentially.

    Implementation timelines vary depending on workflows, integrations, and complexity. Development includes discovery, model training, integration, testing, and optimization, generally taking several weeks to months.

    Chatbots can assist with appointment scheduling, patient triage, reminders, FAQs, medication guidance, follow-ups, and basic administrative workflows while maintaining structured, clinically-informed conversational logic.

    Healthcare chatbots are designed using medically-informed datasets and reviewed by clinical experts. They interpret patient inputs and provide responses based on structured logic, in alignment with healthcare protocols.