AI Healthcare Software Development Services

Every AI system we build includes a human-in-the-loop review layer for any output that could affect a clinical decision. Generative outputs like clinical notes and prior auth letters are drafted by the AI and reviewed by the physician before entering any record. We use RAG grounding, which anchors AI outputs to verified clinical data from your EHR rather than model memory alone. Outputs that fall below a confidence threshold are automatically flagged for human review before proceeding.

It depends on scope. A focused module such as a prior auth drafting tool or a conversational intake bot typically takes 8 to 16 weeks from discovery to deployment. A more complex system involving EHR integration, custom model training, and clinical workflow testing runs 16 to 32 weeks. We offer phased delivery so you see working software at each milestone rather than waiting for a full build to complete.

Project costs typically range from $50,000 USD for a focused AI module to $500,000 or more for a full platform build. Time and materials engagements start at $25 USD per hour. The most accurate way to scope a project is a discovery call where we map your workflow requirements, compliance constraints, and integration environment. We offer a free consultation to get that started.

Yes, and this is how most of our projects are structured. We build AI layers that connect to your existing EHR through FHIR APIs and HL7 integrations, pulling data in and writing outputs back without disrupting the system your clinical staff already works in. We have direct integration experience with Epic, Cerner, Allscripts, Oracle Health, athenahealth, and eClinicalWorks.

For a discovery engagement we typically need your EHR API documentation, a sample of de-identified or synthetic clinical data, workflow documentation for the process we are automating, and your compliance requirements including any existing BAA templates. We can work with limited data in early phases and scale data access as the project progresses.

Yes. Most of our healthcare AI projects start with a time-and-materials proof of concept that validates the technical approach and clinical fit before committing to a full build. A POC typically runs 4 to 8 weeks and covers core functionality, EHR connectivity, and a working demonstration with your clinical team. It gives you a clear basis for a build decision without the risk of a full contract upfront.

AI in healthcare software development is harder than AI in most other industries for three reasons. First, compliance: every system must meet HIPAA standards, which shapes how data is stored, accessed, transmitted, and logged throughout the build. Second, integration complexity: healthcare data lives inside EHR systems with proprietary APIs, FHIR endpoints, and HL7 feeds that require specific expertise to work with correctly. Third, the accuracy standard: AI errors in healthcare can affect patient outcomes, which means every output touching a clinical decision requires human oversight, confidence scoring, and audit trails that most AI systems outside healthcare do not need.