Case Study

AI-powered remote patient monitoring for the operating room

Guardian enables clinicians to monitor multiple patients' vital signs from a single smartphone screen during surgery.

AI Healthcare IoT Mobile
AI-powered remote patient monitoring for the operating room
Overview

Mobile app enables clinicians to monitor patient vital signs from their smartphone — multiple patients, one screen. Founded in 2014 by Dr. Justin Scott, a practicing MD Anesthesiologist with 20+ years of experience, Guardian's mission is safer care of patients undergoing surgery and improving the practice of anesthesia.

Guardian Vitals logo

Industries

Digital Health, IoT, AI

Services

Product strategy, UX research & design, Mobile app development, Custom software development, Strategic business advisory, Competitive market analysis, Capability differentiation, Distribution strategy, Product & market thought leadership, Product roadmapping

Founder

Dr. Justin Scott, M.D., FASA

The Challenge

The challenge

Anesthesiologists generally provide care for several patients at once, making it difficult to continually monitor multiple patients in different operating rooms. Vigilant Medical Solutions designed a remote monitoring app — the first of its kind — that allows anesthesiologists to monitor the vital signs of multiple patients simultaneously.

Vigilant approached us to refine the user interface and improve the app's performance. To display vital signs accurately from multiple monitors, Vigilant needed an advanced machine learning model that could extract and transcribe clinically meaningful data into accurate metrics from multiple operating rooms — all onto a single smartphone screen.

See All Your Cases in One Place

Quickly add operating rooms to see patient vitals in real-time. View vitals from multiple OR monitors on one screen, giving anesthesiologists unprecedented situational awareness across their entire caseload.

When Every Second Counts, Be the First to Know

Intelligent monitoring when vitals go beyond pre-set parameters. Easily customize alerts and receive proactive SMS & email notifications. Configure vital ranges for each individual case based on patient needs.

What We Did

The solution

Our developers used advanced machine learning to capture, define, and structure images from patient monitors in the OR, translating patient vitals — with 99.9% accuracy — directly to a caregiver's handheld mobile device screen.

With custom alerts and real-time data, the medical staff are alerted when their patient's vitals go beyond pre-set parameters or individualized alerts.

Guardian mobile app showing real-time patient vitals

Remote monitoring in hospitals

Justin Scott, M.D., a board-certified anesthesiologist, envisioned a mobile healthcare app that could enable anesthesia teams to monitor multiple surgical patients simultaneously. As an anesthesiologist within a large hospital network, Dr. Scott understood the challenges associated with overseeing vital signs of multiple patients at once.

To improve operating room surveillance and accelerate clinician intervention, we needed to build and apply a machine learning model that could accurately transcribe data from various types of operating room monitors to a physician's mobile device in real time.

Guardian remote monitoring dashboard
Guardian machine learning model for operating room monitoring
AI & Machine Learning

Machine learning in healthcare

Analyzing over a million images on a variety of operating room monitors, we were able to create an intelligent and precise model that can quickly analyze and translate complex data from monitors into metrics on a mobile app, with 99.9% accuracy.

The monitor-agnostic system gets smarter over time, works with a wide range of hospital technologies, and can be used beyond the operating room, such as in a patient's home.

1M+

Images analyzed

99.9%

Accuracy rate

Any

Monitor type

Built With

Technology stack

Backend & Infrastructure

Ruby on Rails Node.js Express.js Golang Python Tesseract Terraform Redis PostgreSQL

Cloud, IoT & Services

AWS Greengrass EC2 CloudFront S3 Raspberry Pi Twilio / SendGrid Shell Script
Design

UI & branding refresh

During the initial first phase of our engagement with Guardian, we performed a UI and branding redesign for Guardian's website. In the redesign, we focused on inclusive design for diversity & accessibility and SEO.

Before & After

Guardian website before redesign
Guardian website after redesign
Trust & Safety

Security & compliance

Our developers are trained in privacy practices and HIPAA compliance. We focus on data security in every product we build. The Guardian app meets cybersecurity standards for medical device integration and uses the following security measures:

Encrypted Databases
Encrypted HTTP Access
Encrypted API Access
Secure Network Config
Secure Cloud Resources
Secure Dev Environments
Secrets Management
DDoS Mitigation
Results

Results

99.9%

Vital sign transcription accuracy from OR monitors to mobile device

Through advanced machine learning models, we transformed the Guardian app prototype into a fully developed remote monitoring app that can transmit patient vital signs in real time with 99.9% accuracy.

The Guardian app — the first of its kind — is now available to hospitals and anesthesia teams throughout the nation. The app allows clinicians to continuously track vital signs of multiple patients simultaneously, accelerates clinician intervention, decreases liability exposure, and improves patient outcomes.

Justin Scott, M.D., FASA

"By applying a robust machine learning model to our app, DS helped us create a scalable and accurate solution to improve the operating room experience for the anesthesia team and the patient. They are true collaborators."

JUSTIN SCOTT, M.D., FASA

Chief Executive Officer

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