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WEB APPS·United States

Daisy.ai - Voice-Enabled Intelligent Clinical EMR

HIPAA-compliant intelligent EMR system with voice-to-text clinical documentation, AI diagnosis assistance, and automated patient follow-up pipelines.

3 Months

were needed to design, engineer & launch the full platform

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Daisy.ai - Voice-Enabled Intelligent Clinical EMR

IndustryHealthTech & Clinical AI

RegionUnited States

PlatformWeb Application & Tablet Assistant

Delivery3 Months

Estimated Budget$80,000 – $150,000 USD

ServicesAI Model Fine-Tuning, Healthcare App Development, UI/UX Design

Quality & Value5.0 / 5.0 ★★★★★

Client overview

01 / 06

Daisy.ai transforms clinical documentation by embedding voice-driven AI directly into medical charting. Clinicians speak naturally during patient consults while the AI automatically generates structured SOAP notes, billable ICD-10 codes, and follow-up instructions.

#Next.js#FastAPI#Python#OpenAI#FHIR#AI#Healthcare

Challenge

02 / 06

Physicians spend nearly half their working hours typing notes into legacy EMRs, driving widespread clinical burnout and reducing face-to-face patient time.

“Daisy.ai gives doctors their time back. Instead of staying after hours typing charts, notes are drafted automatically before the patient leaves the room.”

Founding Physician · Daisy.ai Clinical Partner

Solution we delivered

03 / 06

Woltrio created an ambient voice-enabled clinical assistant using custom speech models and OpenAI LLM pipelines to generate medical notes in real time, ready for one-click physician sign-off.

Technologies

04 / 06

The technology stack was selected for rapid development velocity, high reliability, robust security, and seamless horizontal scalability.

Frontend

Next.js & React 19

Streamlined clinician tablet interface

AI & Speech

Whisper & GPT-4o

Ambient audio capture & medical note drafting

Backend

FastAPI & Python

Low-latency streaming audio pipeline

Data & Security

PostgreSQL & AES-256

Encrypted HIPAA-compliant storage

Team

05 / 06

A dedicated, cross-functional agile engineering pod worked in lockstep with the client through weekly sprints, daily asynchronous check-ins, and continuous delivery.

AI Product Lead

Medical prompt engineering & clinical UX

NLP / ML Engineer

Speech diarization & medical terminology tuning

Full-Stack Engineer

Next.js UI & FastAPI audio processing backend

QA Engineer

Speech transcription accuracy & HIPAA testing

Agile Delivery Framework: Bi-weekly sprint planning, continuous automated testing, and direct collaborative alignment ensured zero blockers throughout the 3 Months cycle.

Results

Project duration: 3 Months

2 Hours

Saved Daily Per Doctor

Eliminated after-hours pajama time charting

98.4%

Clinical Note Accuracy

Validated against physician review standards

3 Months

Delivery Timeline

From proof-of-concept to clinical beta

Woltrio successfully delivered Daisy.ai - Voice-Enabled Intelligent Clinical EMR on schedule within the agreed 3 Months timeline and strictly within budget.

The deployed platform achieved exceptional operational performance, mission-critical reliability, and seamless user adoption across all target workflows.

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Capabilities & Services

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Native iOS & Android and React Native applications built for performance.

Custom Web Development

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MVP Development for Startups

Rapid concept-to-launch agile delivery in 6 to 8 weeks.

AI & Workflow Automation

Custom machine learning models, LLM pipelines, and automated intelligence.

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