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United StatesHealthcare and life sciences2026 – ongoing

LifeMD

AI agents for patient support, physician assistance and call auditing

LifeMD cut support wait times to 12 seconds with AI agents built on StackAI

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Problem

LifeMD's physicians lost time pulling patient data from several systems and working through manual steps. Support staff also had to check patient records by hand, and callers waited minutes.

Approach

LifeMD built three agents on StackAI's no-code platform. A support agent reads patient history from the EHR and drafts replies, a physician assistant gathers history, labs, notes and prescriptions, and a call audit agent summarizes calls and flags possible compliance gaps. LifeMD chose the platform to meet HIPAA and PII requirements. The next planned agent will handle patient support on its website.

Results

more than 475,000 hoursphysician hours saved, per StackAIVendor case study[1]
12 secondsaverage support wait time, down from minutes, per StackAIVendor case study[1]
more than 2.5 millionAI agent tasks executed, per StackAIVendor case study[1]
more than 100,000 per weekuses of the physician assistant, per StackAIVendor case study[1]

Takeaway

LifeMD used one no-code platform for support, clinical and compliance work. The hours-saved figure is StackAI's and the page does not say how it was calculated.

Categories

Innovation type
Process innovation
Evidence
Vendor case study

Sources

  1. How LifeMD Saved 475,000+ Hours With AI Agents
    StackAI30 Oct 2026Vendor publication

Source summaries

[1]StackAI30 Oct 2026

StackAI describes three agents LifeMD runs on its platform: patient support, a physician assistant and a call audit agent. It reports more than 475,000 physician hours saved, a 12-second average support wait and more than 2.5 million tasks. It also gives weekly usage counts for each agent.

Full details are in the original sources.

Added 3 Nov 2026 · Updated 3 Nov 2026
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