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← All Case StudiesTelemedicine

Teleconsultation platform scales to 150+ daily video consults

How an Indian telehealth provider scaled 3.5× in daily consultations without adding a single receptionist — in just 6 weeks.

Pan-IndiaTelehealth provider6-week deployment
150+
Daily Video Consultations
Up from 40/day pre-deployment
3.5×
Consultation Volume Growth
At 60 days post go-live
<2 min
Average Patient Wait Time
Queue-managed entry flow
97%
Call Completion Rate
vs. 68% on previous tool
The Challenge

What the hospital was dealing with

Veda Network was using an off-the-shelf video conferencing tool that was not built for clinical use. Call drops during consultations occurred 32% of the time on 4G connections in tier-2 cities. There was no integrated prescription workflow — doctors would write prescriptions in a text email and send it to a receptionist, who then manually typed it into a WhatsApp message and sent it to the patient. This added 20–40 minutes to every consultation cycle and created a compliance and audit risk.

The platform had no queue management. Patients joined calls at random times, and doctors routinely had overlapping sessions or idle gaps. There was no digital audit trail for prescriptions, which is required under Indian Telemedicine Guidelines 2020.

The Solution

How Goolk AI approached it

Goolk AI engineered a purpose-built WebRTC teleconsultation platform with TURN server fallback architecture — designed to maintain call quality on Indian mobile networks from 2G to 5G.

Smart Queue System: Patients receive a queue token on booking. The system notifies them via WhatsApp when their doctor is 3 minutes away, so they join exactly on time.

Integrated Prescription Canvas: Doctors write prescriptions directly inside the video call interface. The canvas includes drug-drug interaction warnings, pre-loaded drug databases, and digital signature integration.

Automated Delivery: Within 60 seconds of the call ending, the prescription PDF is auto-generated, digitally signed, and pushed to the patient via WhatsApp and email simultaneously.

Compliance Architecture: All consultations are logged with timestamps, doctor credentials, and prescription metadata — fully compliant with Indian Telemedicine Guidelines 2020 for audit purposes.

The Outcomes

Measured results at 90 days

Within 60 days, daily consultation capacity grew from 40 to 150+ sessions without adding a single additional receptionist. Call completion rates rose from 68% to 97%, directly attributable to the TURN server fallback architecture.

Patient wait times dropped to under 2 minutes via the queue management system. The platform is now compliant with Indian Telemedicine Guidelines for all digital prescription audits. Veda Network expanded their registered doctor panel by 40% within 3 months — confident the infrastructure could handle the load.

Engagement Details

Client
Veda Telehealth Network
Location
Bangalore HQ (Pan-India service)
Facility
Telehealth — 85 registered doctors
Timeline
6 weeks
Team size
3 engineers + 1 compliance consultant
Compliance
Indian Telemedicine Guidelines 2020 · Digital signature compliant · DPDP Act-compatible
Project scope
WebRTC teleconsultation engine + Digital prescriptions + WhatsApp delivery
Return on Investment
Investment range
₹12–16L
Recovered in
2.5 months
Annual value
₹38L+ annually (3.5× revenue from capacity expansion)

ROI driven by 3.5× consultation capacity growth without proportional headcount increase.

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Before vs. After

Measured operational changes

Area
Before Goolk AI
After Deployment
Daily consultation capacity
40 sessions/day (call drop bottleneck)
150+ sessions/day (WebRTC native)
Prescription delivery
Doctor emails text → receptionist WhatsApps manually
Auto-generated PDF → WhatsApp within 60 seconds
Call completion rate
68% (drop-outs from poor quality)
97% (TURN server fallback architecture)
Prescription compliance audit
No digital signature or audit trail
Fully signed & timestamped per telemedicine guidelines
Patient wait time
Unmanaged — avg. 14 minutes
Queue-managed — under 2 minutes
Technology Stack

What we built it with

WE
WebRTC + Mediasoup
Low-latency video call engine
TU
TURN/STUN servers
Network fallback for poor connectivity
NO
Node.js
Real-time signalling server & queue manager
RE
React.js
Doctor & patient call interface
WH
WhatsApp Business API
Prescription + queue notifications
PK
PKI Digital Signatures
Telemedicine guidelines compliance
Deployment Timeline

How we delivered it

01
Weeks 1–2

WebRTC pipeline architecture

Designed the media server topology with TURN/STUN fallback. Load-tested on simulated 3G, 4G, and 5G network conditions across 10 Indian cities.

02
Weeks 3–4

Prescription canvas & drug DB integration

Built the digital prescription interface with ICD-10 coding, drug interaction warnings, and PKI digital signature flow.

03
Weeks 5–6

Queue engine, WhatsApp & compliance review

Built the smart queue notification system. Integrated WhatsApp PDF delivery. Compliance audit with a telemedicine legal consultant.

"
Our daily consultation volume scaled 3.5x within two months. The compliance-first architecture saved us months of audit preparation. We now have a platform we can actually trust for regulated teleconsultation.
Chief Technology OfficerVeda Telehealth Network

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