health_and_safety Healthcare AI Use Cases

Transforming Healthcare with
Applied Generative AI.

We don't build generic AI. We implement specialized Google Cloud solutions that directly solve healthcare's biggest challenges: provider burnout, siloed patient data, and operational inefficiencies.

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Built securely on Google Cloud's Medical Infrastructure

database Healthcare API
neurology Vertex AI Medical
health_metrics MedLM Models
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Common Healthcare AI Use Cases

See exactly how Evonence helps clinical organizations turn complex challenges into secure, automated, and compliant solutions.

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Ambient Clinical Notes

The Problem Providers spend up to two hours on EHR documentation for every hour of patient care, leading to severe burnout and delayed chart closures.
What We Do We leverage Google's MedLM to process ambient audio from patient visits, automatically generating structured, accurate clinical notes directly into Epic or Cerner via FHIR.
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Automated Patient Triage

The Problem Call centers and basic chatbots struggle to interpret complex patient symptoms, leading to misrouted appointments and frustrated patients.
What We Do We implement conversational symptom checkers grounded in clinical ontology. The AI safely interprets natural language symptoms and routes the patient to the correct specialist's scheduling calendar.
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Predictive Patient Insights

The Problem Hospitals face massive penalties for high 30-day readmission rates, but care teams lack the tools to identify high-risk patients before discharge.
What We Do We build predictive machine learning models in BigQuery that analyze historical EHR data, lab trends, and social determinants of health to accurately flag at-risk patients for targeted follow-up care.
radiology

Medical Imaging Analytics

The Problem Radiologists are overwhelmed by massive backlogs of routine scans, increasing the risk of missing subtle anomalies due to fatigue.
What We Do We implement the Cloud Healthcare API to securely store PACS/DICOM imagery, deploying specialized AI models to run preliminary anomaly detection and prioritize urgent scans for radiologist review.
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Revenue Cycle AI

The Problem Manual medical coding errors and delayed prior authorizations lead to high insurance claim denial rates and stalled hospital cash flow.
What We Do We architect data pipelines that use Natural Language Processing (NLP) to read clinical notes, extract the correct ICD-10 codes, and auto-generate prior authorization request packages before submission.
biotech

Genomic Data Processing

The Problem Life science researchers wait days for on-premise servers to process massive genomic datasets, drastically slowing down drug discovery.
What We Do We migrate complex sequencing workloads to Google Cloud's scalable High-Performance Computing (HPC) environments, reducing processing times from days to hours while lowering compute costs.
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Hello. I am your virtual care assistant. Can you briefly describe your symptoms today?
I've had a mild fever and a dry cough for the last 3 days, and my chest feels a bit tight.
medical_services
Based on those symptoms, I recommend a consultation with a General Practitioner or Pulmonologist.
calendar_add_on Schedule Telehealth Visit

Stop Frustrating Patients with Clunky Portals

Legacy patient portals are difficult to navigate and often delay care. We implement Vertex AI Search for Healthcare to provide a secure, conversational interface that understands medical terminology and connects patients to the right care instantly.

  • forum

    Conversational Symptom Checking

    Patients can describe how they feel in plain English, and the AI securely maps their symptoms to appropriate care pathways.

  • clinical_notes

    Medical Ontology Built-In

    Unlike standard chatbots, Google's Healthcare AI inherently understands complex medical phrasing, medications, and clinical concepts.

The Unified Clinical Data Engine

AI cannot function if your patient records are trapped in siloed EMRs, lab systems, and legacy servers. Evonence bridges the gap, unifying your clinical data on Google Cloud using modern FHIR and HL7v2 standards.

  • FHIR

    Native Interoperability

    Seamlessly exchange data between Epic, Cerner, and third-party applications using the Cloud Healthcare API.

  • HIPAA

    Compliant By Design

    Google Cloud provides BAA-covered infrastructure, ensuring patient PHI is encrypted at rest and in transit.

Healthcare Data Lakehouse
local_hospital EMR/EHR Systems
vital_signs IoT & Wearables
biotech Lab Results (HL7)
shield_locked Cloud Healthcare API (FHIR Store)
neurology Clinical AI Models
query_stats Provider Dashboards

Measurable Clinical Impact.

We only architect solutions with a clear, direct path to improving patient care metrics and reducing operational overhead.

30%
Less Admin Time

By automating clinical documentation, providers spend less time on screens and more time with patients.

5x
Faster Data Queries

Moving complex genomic and clinical trial datasets to BigQuery allows researchers to run analyses in seconds.

15%
Lower Readmissions

Predictive AI models help care teams identify high-risk patients before discharge, ensuring better follow-up care.

Ready to implement AI in your clinical workflows?

Schedule a secure consultation with an Evonence clinical AI expert to discuss which use case will deliver the highest ROI for your organization.

Recognized Expertise

Google Cloud Premier Partner
● Healthcare API
● Clinical Machine Learning
● FHIR Integration