Custom AI Development for Healthcare
Sometimes off-the-shelf solutions don't fit. Your practice has specific challenges, unique workflows, or opportunities that require something purpose-built. That's where custom development comes in.
When Does Custom Development Make Sense?
Custom development isn't always the answer—it's more expensive and takes longer than implementing existing solutions. But sometimes it's the right choice:
Your Problem Is Unique
If no existing solution addresses your specific challenge, custom development fills the gap. This is common in specialized practices with workflows that don't match generic software assumptions.
Integration Is Critical
When you need AI that works seamlessly with your existing systems—your EHR, practice management, or other tools—custom development ensures proper fit.
Competitive Advantage
Sometimes the goal is differentiation. Custom solutions can enable capabilities your competitors don't have—better patient experience, more efficient operations, or new service offerings.
Off-the-Shelf Doesn't Fit
You've looked at existing solutions and none of them work—wrong features, wrong assumptions, wrong scale. Custom development builds exactly what you need.
What We Build
Custom AI development can take many forms. Here are examples of what's possible:
Intelligent Document Processing
AI that reads, categorizes, and extracts information from incoming documents—referrals, lab results, insurance forms—tailored to your specific document types and workflows.
Specialty-Specific Assistants
AI assistants trained on your specialty's knowledge base, protocols, and terminology—going far beyond generic chatbots to provide genuinely useful guidance.
Workflow Automation Systems
Complex automation that orchestrates multiple systems, handles exceptions intelligently, and adapts to your specific processes.
Analytics and Insights
AI-powered analysis of your practice data to identify patterns, predict trends, and surface actionable insights that generic reports miss.
Staff Support Tools
Internal tools that help your staff work more efficiently—knowledge bases that actually answer questions, documentation assistants, decision support tools.
Integration Solutions
Custom integrations that connect your systems in ways vendors don't support out of the box—bridging gaps between EHR, PM, and other tools.
Our Development Process
Discovery and Scoping
We start by deeply understanding your problem. What are you trying to accomplish? What have you tried? What constraints exist? This phase determines whether custom development is the right approach and defines what success looks like.
Solution Design
We design the solution architecture: how it will work, how it will integrate with your systems, what technologies we'll use, and how we'll ensure HIPAA compliance. You review and approve before development begins.
Iterative Development
We build in iterations—working software that you can test and provide feedback on. This isn't "disappear for six months and show up with something." You're involved throughout, and we adjust as we learn.
Testing and Validation
Thorough testing before deployment: functionality, security, performance, edge cases. For healthcare AI, this includes validation that outputs are accurate and appropriate.
Deployment and Training
We deploy carefully, often in phases. Staff training ensures people know how to use the new system. Documentation ensures knowledge doesn't walk out the door.
Ongoing Support
Custom solutions need ongoing care: monitoring, updates, improvements, and support when issues arise. We don't build and disappear—we maintain relationships with our clients.
Why Healthcare Expertise Matters
Any development shop can write code. Building AI for healthcare requires understanding the environment:
- HIPAA isn't an afterthought.
Compliance is designed in from the start, not bolted on at the end.
- We understand clinical workflows.
30+ years of healthcare IT means we know how practices actually operate.
- We know healthcare data.
HL7, FHIR, CCDs, claims data—we speak the language of healthcare information exchange.
- We're realistic about limitations.
We won't promise things that aren't possible with current technology or your systems.
Investment Considerations
Custom development is an investment. Understanding the factors that affect cost and timeline helps set realistic expectations.
What Affects Cost
- • Complexity: Simple automation vs. sophisticated AI
- • Integration requirements: How many systems, how deep
- • Data complexity: Clean data vs. messy data
- • Compliance requirements: Standard HIPAA vs. additional regulations
- • Change management: How much training and support needed
Typical Timelines
- • Simple automation: 4-8 weeks
- • AI chatbot (custom trained): 6-12 weeks
- • Complex workflow system: 3-6 months
- • Full custom application: 6-12+ months
Timelines depend heavily on scope, integration complexity, and your team's availability for testing and feedback.
Our Approach to Pricing
We provide detailed estimates after discovery, with clear scope definition. We prefer fixed-price projects where scope is well-defined, with change order processes for scope additions. No surprises.
Example: NephroAssist
NephroAssist is an AI assistant we developed specifically for nephrology practices. It demonstrates what's possible with custom healthcare AI development:
- • Trained on nephrology-specific knowledge and protocols
- • Understands CKD staging, dialysis modalities, and kidney care terminology
- • Provides support for staff and patient education
- • Built from the ground up for HIPAA compliance
This is the kind of specialty-specific solution that generic AI tools can't match—and an example of what custom development makes possible.
Learn About Our Nephrology Services →Have a Custom Project in Mind?
Let's talk about your specific challenges and whether custom development is the right approach. We'll give you an honest assessment—including when off-the-shelf solutions might serve you better.