Healthcare AI Development

AI That Improves Outcomes and Reduces Costs

Stop paying for generic AI tools that don't understand your workflows. We build custom AI, machine learning, and NLP solutions trained on your data—delivering measurable improvements in reimbursement accuracy, clinical efficiency, and patient outcomes.

HealthContext.AI - AI service to document telehealth encounters

Featuring our partnership with Target Robot's HealthContext.AI

Duke Health
Congruity Health
McKesson
CommuniCare
Guardian
Easterseals

What We Build

Healthcare AI, ML & NLP Solutions

Three technologies, one goal: turning your data into better decisions and better outcomes.

AI

Artificial Intelligence

Algorithms that analyze medical data, identify patterns, and support clinical decisions—from risk stratification to resource optimization.

Used in: Clinical Decision Support, Predictive Analytics

ML

Machine Learning

Models that learn from your historical data to predict outcomes, identify at-risk patients, and optimize treatment pathways.

Used in: RAF Scoring, Risk Stratification, Readmission Prediction

NLP

Natural Language Processing

Extract meaning from clinical notes, transcribe encounters, and automate documentation—turning unstructured text into actionable data.

Used in: Ambient Scribes, Code Extraction, Chart Review

Applications

Where Healthcare AI Delivers ROI

HIGHEST ROI

RAF/HCC Code Optimization

Ensure accurate risk scores, capture missed conditions, and maximize compliant reimbursement.

FASTEST PAYBACK

Clinical Documentation AI

Reduce documentation time from 45 minutes to 5 minutes per visit with ambient AI scribes.

Predictive Risk Stratification

Identify high-risk patients before adverse events, enabling proactive intervention.

Readmission Prevention

ML models that flag at-risk patients for targeted follow-up and care coordination.

Revenue Cycle Automation

AI agents that handle prior auth, denial management, and claims processing.

MDS/PDPM Optimization

Ensure accurate assessments and maximize appropriate reimbursement in skilled nursing.

Clinical Impact

Integrating AI and ML into healthcare workflows.

Enhanced Diagnostics: AI and ML enhance early disease detection by analyzing medical images and patient data for quicker, more precise identification of conditions.

Personalized Treatment: AI develops individualized treatment plans and evidence-based recommendations tailored to each patient's unique needs.

Patient Monitoring: Continuous monitoring through AI-powered devices provides real-time health data and proactive management of chronic diseases.

Clinical Decision Support: Real-time insights and risk stratification help providers make informed decisions and focus on high-risk patients.

Streamlined Workflows: NLP automates data extraction from EHRs, reducing administrative burden and improving efficiency.

Solution Expertise

How we build healthcare AI.

AI-Driven Data Integration

Automating collection and aggregation of data from EHRs, medical devices, and telehealth platforms with ethical handling for robust AI models.

NLP for Clinical Text

Extracting structured data from unstructured clinical notes, discharge summaries, and pathology reports using custom NLP pipelines.

Explainable ML Models

Building transparent, audit-defensible machine learning models where every recommendation links to source documentation.

Case Study

RAF Score Optimization for Value-Based Care

Built ML models that analyze EHR and claims data to identify missed HCC codes, ensure accurate RAF scores, and capture chronic conditions at the point of care—resulting in compliant revenue recovery.

$2.4M+
Revenue Impact
12 weeks
To Production
View Case Study
RAF Solution Architecture

AI Services & Models

Technologies We Deploy

NLP

NLP

Clinical text analysis, coding, entity recognition

Medical Imaging

Medical Imaging

Image analysis, lesion detection, classification

Predictive Analytics

Predictive Analytics

Risk stratification, outcome prediction

Virtual Assistants

Virtual Assistants

Chatbots, patient engagement AI

What It Takes

Non-negotiable requirements for healthcare AI.

Building AI for healthcare demands more than algorithms. These are the requirements we build into every solution.

Interoperability & Integration

Seamless integration with EHRs, EMRs, and telehealth platforms for efficient data exchange and workflow integration.

Scalability & Performance

Architected to accommodate growing data volumes and user numbers without compromising performance.

Security & HIPAA Compliance

Encryption, access controls, and audit trails built in from day one to protect PHI and ensure regulatory compliance.

Real-Time Processing

Process and analyze patient data in real-time for timely clinical decision support at the point of care.

Evidence-Based Recommendations

Continuously updated clinical guidelines and peer-reviewed methodologies ensuring quality of care.

Clinical Workflow Integration

Embedded into existing workflows so clinicians never leave their primary system. No separate login, no duplicate entry.

Customizable Alerts

Configurable alerts based on individual patient parameters for timely intervention when abnormal trends are detected.

User-Friendly Interface

Intuitive design that fits clinical workflows, maximizing adoption and minimizing training overhead.

Audit-Defensible AI

Every recommendation traced to source data. Transparent reasoning that compliance teams and clinicians can verify.

Our Process

From concept to production in 8 weeks.

Our 4-phase, 10-step methodology — Discover, Experiment, Engineer, Optimize — delivers the complete value chain. Most vendors stop at steps 1–4. We deliver all 10, contractually tied to outcomes.

See our full methodology
1

Discover

Data Foundation + Co-Design with Care Teams

2

Experiment

Responsible AI Build + EHR Integration

3

Engineer

Production Deployment + Clinical Change Management

4

Optimize

Knowledge Transfer + Outcome Guarantee

CommuniCare

"I have worked with many technology teams during my career, and Digital Scientists is one of the best. They take the time to understand the customers' needs, deliver innovative solutions, are always professional, and work with your team as a true partner to achieve success."

Amy Severino

Chief Innovation Officer, CommuniCare Health Services

Technologies

OpenAI Azure AWS LangChain PyTorch HL7 FHIR

Looking for AI development beyond healthcare?

We build custom AI across industries — generative AI, computer vision, AI agents, and more. 11+ years, 14 production AI projects.

All AI Services

Ready to discuss your AI opportunity?

30-minute call. No pitch. Just honest assessment of what's possible for your organization.

Understand your clinical workflows and pain points
Assess opportunity and realistic ROI range
Determine if there's a fit

Or call: 404.654.3855

HIPAA Compliance & PHI Security

Every AI solution we build is designed for healthcare from day one. We understand PHI handling, BAA requirements, and the security controls required for production healthcare systems.

Learn more about our security approach →
HIPAA Compliant