AI for Healthcare

AI for Healthcare
That Clinicians Trust

Healthcare AI must be accurate, explainable, and HIPAA-compliant - not just impressive in a demo. We build clinical AI systems that clinicians actually trust and use: EHR intelligence, medical imaging AI, patient risk models, and clinical NLP - all built with the compliance and governance healthcare demands.

HIPAA-compliantClinically validatedEHR-integrated
93%+
Clinical F1 Scores
98%
Client Satisfaction
3
Hospital Networks Served
Healthcare AI Capabilities
Enterprise-grade
Clinical NLP & EHR Extraction95%
Medical Image Analysis (DICOM)92%
Patient Risk & Readmission Prediction90%
Clinical Decision Support AI88%
Clinical
Imaging
Risk
Compliance
Medical AI
CanadaHVACfoot-logorakta-logobekn-logologo_modicumArcelorMittalHindustan_Unilever_Logo.svgMotorola LogoUnlistedkart logoArvest Bank LogoSaudi Irrigation OrganizationAurobindo PharmaWHO (2)L&T (2)FinoFarewayChromaBosch (2)
CanadaHVACfoot-logorakta-logobekn-logologo_modicumArcelorMittalHindustan_Unilever_Logo.svgMotorola LogoUnlistedkart logoArvest Bank LogoSaudi Irrigation OrganizationAurobindo PharmaWHO (2)L&T (2)FinoFarewayChromaBosch (2)
What's Included

Healthcare AI Capabilities, End to End

End-to-end capability - from strategy and build to integration, monitoring, and ongoing support.

Clinical NLP & EHR Intelligence

NLP pipelines that extract diagnoses, medications, procedures, and clinical entities from unstructured EHR notes - HIPAA-compliant, 93%+ entity-level F1 accuracy.

Medical Image Analysis

CNN and Vision Transformer models for radiology, pathology, and ophthalmology - detecting anomalies in X-rays, CT scans, MRIs, and histopathology slides.

Patient Risk Prediction

ML models predicting patient deterioration, readmission risk, sepsis onset, and length of stay - enabling proactive clinical intervention and resource planning.

Clinical Decision Support

AI systems that surface relevant clinical guidelines, drug interactions, and differential diagnoses at the point of care - embedded in EHR workflows.

Prior Auth & Claims Automation

AI automation for prior authorisation and medical coding - extracting clinical criteria, cross-checking payer rules, and auto-approving eligible requests.

Patient Communication AI

HIPAA-compliant AI chatbots for appointment booking, symptom triage, medication reminders, and patient education - reducing front-desk burden by 40%.

How We Work

Our Engagement Process

A disciplined, outcome-focused approach from first call to go-live.

  1. 1

    Compliance Architecture

    Design the HIPAA-compliant AI architecture - data handling, de-identification, access controls, and audit logging from day one.

  2. 2

    Clinical Data Preparation

    Work with your clinical data team to access, clean, and de-identify training data under BAA and data use agreements.

  3. 3

    Model Development & Validation

    Train and validate models with clinical domain experts - with performance metrics aligned to clinical, not just statistical, standards.

  4. 4

    EHR & Workflow Integration

    Integrate AI outputs into your EHR system (Epic, Cerner, Athena) and clinical workflows - minimising clinician cognitive burden.

  5. 5

    Post-deployment Monitoring

    Monitor model performance, data drift, and clinical outcomes - with automated retraining and regulatory change management.

Technology Stack

Tools & Frameworks We Master

A production-tested, vendor-agnostic stack built for enterprise security and compliance requirements.

Clinical AI Models

BERT ClinicalBioBERTClinicalBERTMed-PaLMGPT-4oscispaCy

Medical Imaging

PyTorchMONAIOpenCVDICOM ToolsSimpleITKAlbumentations

EHR & Interoperability

HL7 FHIREpic SMART on FHIRCerner APIsAzure Health DataAWS HealthLake

Compliance & Security

HIPAA ControlsPHI De-identificationAWS GovCloudAzure HIPAA BAAAudit Logging
Real-World Impact

Use Cases by Industry

Production AI systems we have built across regulated, data-heavy industries.

Hospital Network

EHR Intelligence Platform

Clinical NLP pipeline processing 2M+ unstructured notes - extracts diagnoses, medications, and procedures with 93.7% F1. Deployed across 3 hospital networks.

ClinicalBERTFHIRHIPAA
Radiology

Chest X-ray Anomaly Detection

CNN detecting 14 thoracic diseases from chest X-rays - 94.1% AUC, integrated with PACS, radiologist review workflow, FDA-cleared evaluation.

CNNMONAIRadiology
Health Plan

Prior Auth Automation

AI automation for prior authorisation - extracts clinical criteria, validates payer rules, auto-approves 65% of requests with full audit trail.

IDPComplianceHealth Plan
Hospital

Sepsis Early Warning System

ML model predicting sepsis onset 6 hours before clinical recognition - 87% sensitivity, integrated with Epic EHR alerting system.

MLEpicICU
Ophthalmology

Diabetic Retinopathy Screening

CNN screening diabetic retinopathy from fundus images - 94.2% AUC, reducing specialist referrals by 40% for non-referable cases.

CNNVisionOphthalmology
Pharmacy

Drug Interaction Safety AI

LLM-powered drug interaction checking system - processes 10,000+ prescriptions daily, flags 99.2% of documented interactions.

LLMPharmacySafety
Client Voices

What Teams Say After Shipping with Us

Real results from teams who needed AI to work in production, not just in a demo.

“
AndolaSoft has been a valued partner providing excellent customer service. Issues with clients or troubleshooting are handled in a timely manner and positive resolution is always the outcome.
JK
Jim Kaplan
Founder, AuditNet
“
I got a recommendation on AndolaSoft. They are more than half the cost, they have a can-do attitude, and they are responsive, timely, and easy to work with.
CV
Caroline Van Sickle
Pretty in my Pocket, Atlanta GA
“
Andolasoft team is very hardworking, dedicated and professional that follows through with their goals. The technical leadership is also a superior value to any other developers.
ZN
Zeid Nasser
Editor-in-Chief, theCollegeDriver.com
FAQ

Frequently Asked Questions

Yes. All healthcare AI systems we build are designed HIPAA-compliant from the ground up - BAA agreements, PHI de-identification, encryption at rest and in transit, role-based access, full audit trails, and self-hosted or HIPAA-eligible cloud deployment options.

Ready to Build HIPAA-Compliant Healthcare AI?

Tell us your clinical use case and data environment. We will design a compliant, production-grade healthcare AI system your clinical team will trust.