Digital Health Startup Reduces Triage Time by 65% With AI Automation

Automation-first approach to simplify patient onboarding and accelerate clinical workflows.

65%

Faster triage

40%

Higher patient retention

2x

Clinician efficiency

Client overview

Our client, a rapidly growing digital health startup, connects patients with clinicians through virtual consultations across the U.S., Southeast Asia, and India. With over 20 global clients and a 150+ member engineering team, the company focuses on delivering seamless, data-driven healthcare experiences.

Its goal is to simplify access to medical care while ensuring interoperability with major EHR systems. The platform empowers patients and clinicians with faster, smarter, and more connected virtual healthcare experiences.

Challenges

Slow patient onboarding and triage

Manual screening created long wait times before consultations, leading to patient drop-offs and dissatisfaction.

Overloaded call centers and inefficient workflows

Support teams were burdened with repetitive queries, slowing down overall operations.

Limited EHR interoperability

Data had to be entered manually into EHR systems, delaying clinical updates and creating duplicate records.

Solution

We implemented an AI-driven automation framework to enhance onboarding speed, streamline workflows, and enable intelligent triage.

Deployed AI-powered virtual assistant

Automated symptom-based triage to identify patient priorities faster and reduce clinician load.

Built smart forms and decision trees

Captured key health data upfront to reduce manual entry and enable smoother onboarding.

Integrated FHIR-based interoperability

Enabled automatic data synchronization with EHR systems post-triage for seamless care continuity.

Developed mobile and web platforms

Delivered a unified digital experience for patients to access consultations anytime, anywhere.

Business impact

The engagement transformed the digital health platform into a faster, more efficient, and intelligent system for patient onboarding and triage.

Accelerated patient onboarding

Reduced triage time by 65%, helping patients connect with clinicians faster.

Improved patient retention

Automation simplified the onboarding process, increasing patient retention by 40%.

Enhanced clinical efficiency

AI-based triage filtered low-risk users, enabling clinicians to focus on critical cases and double their productivity.

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