LLM logomark

Healthcare

AI & LLM Development Services for
Healthcare

We help healthcare teams improve patient care, reduce admin burden, and support faster clinical decisions with secure AI.

Specialists

75+

Specialists

Delivery

HIPAA-Ready

Delivery

Uptime Targets

99.9%

Uptime Targets

Projects Delivered

10+

Projects Delivered

AI in healthcare challenges

Common healthcare AI roadblocks we help you solve with clarity, safety, and speed
  • 01Fragmented Patient Data
  • 02Manual Documentation Overload
  • 03Legacy EHR Systems
  • 04PHI Security Risks
  • 05Regulatory Compliance Pressure
  • 06Inconsistent Data Quality
  • 07Limited AI Expertise
  • 08Change Management Resistance
01
Fragmented Patient Data

Patient history, labs, imaging, and notes often live in separate systems, so clinicians hunt for context. We see teams spending precious minutes switching tabs, exporting reports, or calling other departments. That fragmentation slows care and increases risk of missed details. Our goal is to unify data access so decisions happen faster and with more confidence at the point of care.

When data stays siloed, AI cannot learn the full story, and predictions become noisy. We help map sources, standardize identifiers, and build retrieval layers that pull the right records safely. Our integrations respect role-based access and PHI boundaries, while keeping latency low for busy teams. The result is cleaner inputs and more reliable AI outputs across workflows every day.

Healthcare Solutions We Deliver

Production-ready healthcare AI solutions that improve outcomes, efficiency, and compliance across care teams
Clinical Decision Support

We build decision support that summarizes patient context, flags gaps, and suggests next steps, grounded in records and guidelines, with audit logs and human approval.

Predictive Risk Analytics

We develop risk models that predict readmissions, deterioration, or missed follow-ups using your historical signals, then trigger alerts and workflows with thresholds you can tune.

Medical Image Analysis

We deliver imaging AI that assists with detection, triage, and prioritization for radiology and clinical teams, plus quality checks, explainability, and monitoring for drift.

Virtual Health Assistants

We create assistants that help staff and patients navigate scheduling, instructions, and FAQs, integrated with your systems and designed to protect PHI through safe access controls.

Patient Engagement Chatbots

We build chatbots that handle intake, reminders, and common questions, improving response speed while escalating complex cases to humans with full conversation context and routing.

Revenue Cycle Optimization

We automate documentation checks, coding support, and claim workflows, reducing denials and rework by extracting structured data and validating it against payer and policy rules.

Workflow Automation Engines

We connect tasks across EHR, ticketing, and internal tools to remove manual handoffs, using event-driven automation, approvals, and logs so operations stay predictable.

Remote Patient Monitoring

We build monitoring that analyzes device and symptom streams, detects anomalies early, and routes alerts to care teams with configurable thresholds and clear, auditable context.

LLM in healthcare - Usecases

Practical LLM use cases that reduce workload, improve accuracy, and speed up care decisions
AI medical scribes (doctor voice → EHR text)

We convert clinician voice into structured EHR notes, capturing key fields, codes, and context with review-first safeguards.

Automated Chart Summaries

We generate concise chart summaries from labs, notes, and history, helping clinicians scan context faster and avoid omissions.

Prior Authorization Triage

We triage prior auth requests by extracting requirements, checking documentation gaps, and routing approvals faster with traceable reasoning.

Appointment No-Show Prediction

We predict no-show risk using scheduling signals, then trigger reminders and rescheduling workflows to protect revenue and continuity.

Clinical Trial Matching

We match patients to trials by extracting eligibility criteria and comparing records, then generating evidence-backed recommendations for review.

Healthcare AI use cases - doctor analyzing medical data
Discharge Risk Scoring

We score discharge risk using clinical and social signals, then recommend follow-ups and flags for care coordination teams.

Population Health Stratification

We segment populations by risk and needs, enabling targeted outreach programs, better resource planning, and measurable intervention impact.

Claims Fraud Detection

We detect suspicious billing patterns using anomaly signals and explainable flags, helping teams investigate faster and reduce losses.

Patient Self-Service Portals

We add LLM assistance to portals for FAQs, instructions, and status checks, reducing call volume with safe escalation.

Our Numbers

Real delivery metrics that show our healthcare AI expertise and long-term reliability

Engineers

75+

Engineers

Projects Deployed

400+

Projects Deployed

Industries Worked In

27+

Industries Worked In

Development Facilities

2

Development Facilities

Years of Experience

10+

Years of Experience

Happy Customers

350+

Happy Customers

Support Availability

24/7

Support Availability

Client Retention

95%

Client Retention

Why Choose Us for Healthcare AI Development?

We deliver secure, measurable healthcare AI with clear ownership, fast iterations, and long-term support
  • Healthcare-First Focus

    Healthcare-First Focus

    We design around clinical realities, not generic templates. Our solutions respect workflows, approvals, and patient safety, so teams adopt faster and rely on outputs during real care delivery.

  • LLM-Driven Expertise

    LLM-Driven Expertise

    We build LLM features that stay grounded, accurate, and predictable in production. Our team designs prompts, retrieval, tools, and evaluations so assistants support decisions instead of creating noise.

  • HIPAA-Ready Architecture

    HIPAA-Ready Architecture

    We engineer privacy-first systems with role-based access, encryption, and audit logs. Our approach supports HIPAA-ready delivery while keeping integrations practical, monitored, and safe for regulated environments.

  • Secure Data Pipelines

    Secure Data Pipelines

    We build secure pipelines that clean, validate, and route data with least-privilege controls. Our logging and governance reduce risk while improving data quality for reliable model performance.

  • EHR Integration Experience

    EHR Integration Experience

    We integrate AI into EHR-adjacent workflows using APIs, middleware, and phased rollouts. Our approach avoids disruption, keeps the EHR as the system of record, and stays auditable.

  • Measurable Outcome Metrics

    Measurable Outcome Metrics

    We define KPIs early—time saved, error reduction, response speed, and adoption—then instrument dashboards to track impact. Our optimization work improves results quarter over quarter.

  • Transparent Engagement Models

    Transparent Engagement Models

    We keep delivery predictable with clear scope, milestones, and weekly demos. You see progress, risks, and decisions in real time, with documentation that supports handoff and governance.

  • Long-Term AI Partnership

    Long-Term AI Partnership

    We stay accountable after launch with monitoring, tuning, and support. As policies, data, and workflows change, we keep your AI reliable, cost-aware, and continuously improving.

Industries We Support with AI Application Development Services

We support founders, fast-growing startups, and enterprise teams
Swivu logo
Hexaware logo
Call Analysis logo
Blockchain logo
Change Curve logo
Landwise NWA logo
EZ Living Trust logo
Azure logo
Convert AI logo
AWS logo
Google Cloud logo

Our Recent Healthcare Projects

Experience How We’ve Built & Deployed LLMs That Transformed Businesses
Estate Planning Modernized with AI Automation
Estate Planning / Legal ServicesEstate Planning Modernized with AI Automation

EZ Living Trust set out to modernize estate planning by moving away from manual, paper-based workflows. Built for aging adults and working families, the platform guides users through legal processes with clarity and automation. The original system involved offline appointments, human dependency, and disconnected document handling. With growing demand, the model became hard to manage and scale. Our solution: a digitized platform that systemizes case tracking, streamlines notary assignment, and delivers real-time user visibility—cutting support costs and operational bottlenecks.

2 HrsTime Saved Daily
30%Fewer Errors
25%Overhead Drop
Modern Construction Needs Modern Coordination - Swivu (Beta)
Construction ManagementModern Construction Needs Modern Coordination - Swivu (Beta)

Managing multi-site construction projects with Excel, emails, and verbal updates had become inefficient and error-prone. Swivu Engineering needed a smarter system to track project status, assign tasks across departments, and monitor execution across all locations—without overcomplicating the daily operations for site workers. We designed a real-time project management platform that connects HQ and field teams through a browser-based control panel and a lightweight mobile app. The tool enables role-based collaboration, dynamic scheduling, async updates, and seamless sync across departments. Every task, timeline, and team is now connected with fewer bottlenecks and a lower margin for error.

100+Regions
40%Cost Reduction
95%Client Retention
Intent-Based HR Chatbot for Enterprises
Enterprise Services / HR OperationsIntent-Based HR Chatbot for Enterprises

Our client’s HR team faced rising volumes of internal queries on policies, benefits, and compliance—all requiring manual lookup and response. Employees lacked a direct way to get reliable answers without digging through PDFs or intranet links. We developed a custom HR chatbot powered by GPT-4o and Elasticsearch with vectorized semantic search. It understands employee intent, fetches relevant clauses, and auto-deflects repetitive queries. For complex cases, it triggers a live-agent handoff and logs the full transcript for review. Role-based access ensures responses are scoped and secure.

300+Projects
40%Interaction Drop
95%Client Retention
Lean, Scalable, Always-On IT Support
AI-Powered ITSM Chatbot DevelopmentLean, Scalable, Always-On IT Support

We developed an enterprise-grade AI assistant that detects urgency, resolves L1/L2 tickets, and fully integrates with ServiceNow and Ivanti.

50%Time Saved
40%Interaction Cut
95%Answer Accuracy

Healthcare AI development process

A clear, compliant delivery process that moves from strategy to safe production outcomes
Requirements Analysis

We start by understanding your clinical workflows, stakeholders, and constraints. Our team documents use cases, success metrics, data sources, and PHI boundaries, then defines responsibilities and approvals. This creates a clear scope that prevents surprises and reduces rework.

AI Strategy & Roadmap

We translate priorities into a phased roadmap with measurable KPIs, timelines, and risk controls. Our plan covers model choices, retrieval needs, integrations, and rollout steps. You get a practical sequence that leadership can approve and teams can execute.

Model Design & Development

We design the right approach—LLM, ML, or hybrid—then build prompts, tools, and pipelines. We create evaluation datasets, define pass/fail thresholds, and iterate with weekly demos. Our goal is reliable behavior across real clinical and operational scenarios.

Integration With Existing Systems

We integrate with EHR-adjacent systems, CRMs, ticketing, and data platforms through secure APIs and middleware. We add RBAC, audit logs, rate limits, and fallbacks. Integrations are staged and reversible, protecting production workflows during rollout.

Testing & Compliance Checks

We test functional accuracy, edge cases, privacy controls, and workflow safety before launch. Our checks include auditability, access rules, and documentation for review. We validate performance under load and confirm outputs stay grounded and clinically appropriate.

Deployment

We deploy through CI/CD with monitoring, alerts, and rollout controls. Our team validates latency, cost, and reliability targets, then releases in phases to reduce risk. You get visibility into usage, success rates, and failures from day one.

Ongoing Support

After launch, we monitor accuracy, drift, cost, and adoption, then tune prompts, retrieval, and policies. We ship improvements on a steady cadence and keep documentation current. This ensures your AI stays reliable as care workflows evolve.

AI Tech Stack for Modern Software Development

Proven tools and frameworks for reliable artificial intelligence software development
OpenAIOpenAI
ClaudeClaude
GeminiGemini
Llama 3Llama 3
MistralMistral
FalconFalcon

Engagement Models for AI Projects & Teams

Flexible ways to work with Kodertal across strategy, delivery, and support
AI Consulting & Strategy

We shape roadmaps in 2–4 weeks, prioritize use cases, and align teams, data, and infrastructure together.

Use-case roadmap
Priority alignment
Stakeholder buy-in
KPI definition
Dedicated AI Development Team

Our embedded squad scales with you, delivering weekly demos and supporting 10x growth safely, end-to-end.

Cross-functional squad
Embedded delivery
Flexible capacity
Product scaling
End-to-End Product Development

We own delivery from discovery to launch in 8–16 weeks, integrating UX, backend, data, and APIs.

Full ownership
Discovery & UX
Seamless integrations
Launch planning
Maintenance & Support

We monitor and optimize continuously, targeting 99.9% uptime, lower latency, and predictable costs after launch.

Performance monitoring
Cost optimization
Security updates
SLA support

Testimonials for Our AI Development Services

What founders and tech leaders say about working with Kodertal
Andrei JohnsonAndrei Johnson

Business Owner

Kodertal and the team did an amazing and professional job on my project! they did exactly what I needed and more so anyone that is looking to have a project done the right way, adequately and professionally, Kodertal is the brand to go to!!! Thank you again and I will definitely be working with you guys again.

Alexander GrantAlexander Grant

Marketing Lead

Amazing work! SERP rankings have already started to improve since the changes were made. the Kodertal team's keyword research abilities are truly valuable. Highly recommended!

AhmedAhmed

Product Owner

I am Ahamed from (WLS Group Australia) Kodertal team is extremely professional, deliver the work on time, help us to build the cloud computing, its so much easier to work with our team now. good job. Kodertal is highly recommended!

Jahari AbdallahJahari Abdallah

Product Owner

Working with Kodertal was a great experience. He was always available for discussions and urgent tasks, and his genuine enthusiasm for the project set him apart. What impressed me the most was his proactive approach-actively contributing and implementing valuable ideas that enriched the project.

Pamela HernandezPamela Hernandez

Founder

I just completed my second project with Kodertal and the team. Each experience further cements my respect and admiration for them. Their exceptional professionalism shines through in every interaction. They've showcased unwavering dedication throughout both projects, consistently hard-working, diligent, and committed to the tasks....

Victoria ClarkeVictoria Clarke

Project Sponsor

Great to work with Kodertal team. they were quick to respond and deliver excellent results with our project by going beyond our expectations. I hope to work with them again in near future.

FAQs

Quick answers to common healthcare AI questions before you start your build

We design privacy-first systems with encryption, role-based access, audit logs, and least-privilege permissions. We separate environments, control data retention, and document data flows. When third-party models are involved, we apply strict routing rules and safe fallbacks to reduce exposure risk.

Yes, we integrate through available APIs, middleware, and phased rollouts that protect uptime. We keep the EHR as the system of record and build AI services around it. We add logging, rate limits, approvals, and reversibility so workflows stay stable.

We typically start with a 2–4 week kickoff to define use cases, KPIs, data readiness, and an implementation plan. Early pilots can show measurable time savings quickly, then we expand scope based on adoption and performance metrics. Weekly demos keep momentum.

Yes, we stay accountable after launch with monitoring, tuning, and ongoing support. We track accuracy, latency, cost, and drift, then improve prompts, retrieval, and workflows. You get a clear optimization backlog, regular updates, and reliability practices aligned to your needs.

Ready to Build with Kodertal’s AI Experts?

Talk to our team and turn your next AI idea into a production-ready product