Phelix
Phelix is a no-code AI virtual assistant platform tailored for healthcare providers to automate patient engagement, scheduling, communication, and payment workflows.
View Case Study →Whether you are launching a new healthcare product, extending an existing platform, or addressing a specific technology gap, our services can support individual requirements or work together as part of a broader initiative.
Apply AI to practical healthcare workflows with the integrations, controls, and human review needed for real-world use.
• Clinical AI and GenAI applications
• Ambient voice AI and medical scribing
• Healthcare chatbots and virtual assistants
• Imaging, risk prediction, and triage models
Connect clinical, claims, scheduling, and device data to create reliable foundations for reporting, analytics, and AI.
• Clinical data pipelines
• Healthcare data integration
• Reporting and insights systems
• AI-ready data environments
Build custom healthcare applications around the workflows of patients, providers, payers, and healthcare operations teams.
• Custom healthcare software
• EHR-connected applications
• Patient and provider applications
• Healthcare API and integration development
Make architecture, interoperability, security, AI, and technology decisions before development begins.
• Healthcare IT consulting
• Healthcare AI consulting
• HIPAA-ready application development
• Healthcare software QA and testing
Improve existing healthcare technology through workflow automation, application modernization, cloud migration, and ongoing engineering.
• Clinical workflow automation
• EHR workflow automation
• Legacy application modernization
• Cloud migration and operations
Review workflows, existing systems, integrations, data, and technical constraints to define the right starting point.
Establish the architecture, integration approach, security requirements, delivery roadmap, and project scope.
Develop applications, AI capabilities, data pipelines, integrations, and automation in focused development cycles.
Refactor or re-platform existing applications, migrate data, reduce technical debt, and improve manual workflows while current systems continue operating.
Continue with application maintenance, integrations, cloud and DevOps operations, monitoring, and feature development as requirements evolve.
Phelix is a no-code AI virtual assistant platform tailored for healthcare providers to automate patient engagement, scheduling, communication, and payment workflows.
View Case Study →
AI clinical workflow automation platform that leverages modular AI agents to streamline administrative and documentation tasks across healthcare operations.
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Healthcare applications can involve sensitive clinical, financial, and personal information. Security and compliance requirements depend on the data involved, users, integrations, and operating environment.
We review workflows, user roles, integrations, and technical constraints before development starts. This gives stakeholders a clearer scope and reduces avoidable rework.
Product and clinical stakeholders can work directly with the engineers involved in the project, with regular updates and sprint demos throughout development.
Where the engagement allows, development can take place in your GitHub repositories, cloud accounts, and infrastructure so your organization maintains control of the environment.
Source code and intellectual property are transferred according to the engagement terms, with documentation to support future maintenance and development.
Healthcare software costs vary based on the scope, integrations, data complexity, compliance requirements, and development effort involved. A focused integration or workflow improvement will cost less than a platform spanning multiple systems and user groups. Want an estimate for your project? Share your requirements, and we'll assess the scope and provide a cost estimate.
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Read Article →Citrusbug provides healthcare services across AI and GenAI, data engineering, application development, advisory and compliance, and digital transformation. These capabilities can be used independently or combined for larger healthcare technology projects.
Yes. Citrusbug develops custom healthcare applications, clinical tools, patient and provider applications, telehealth platforms, and healthcare workflow software based on specific business and user requirements.
Yes. Healthcare applications can be integrated with EHRs and other healthcare systems using APIs, HL7, FHIR, and available vendor integration methods based on the systems and data involved.
Yes. Healthcare integrations can use HL7 and FHIR to exchange data between applications, EHRs, labs, pharmacies, payers, devices, and other connected systems.
Yes. We assess the existing application and determine whether refactoring, re-platforming, rebuilding, or phased modernization is the right approach. New and existing components can be transitioned in stages.
Yes. Healthcare AI development can include clinical AI applications, GenAI workflows, ambient documentation, healthcare chatbots, imaging use cases, risk prediction, and triage models.
Yes. Healthcare IT consulting can cover technology assessments, architecture, build-versus-buy decisions, AI adoption planning, interoperability, and delivery roadmaps.
Yes. Ongoing support can include application maintenance, integrations, cloud and DevOps operations, monitoring, technical improvements, and continued feature development.
Project timelines depend on the scope and complexity. Focused integrations or pilots can be delivered faster than full healthcare platforms involving multiple integrations, data workflows, and application modules. Projects can be delivered in phases with working releases along the way.