ENO8 Case Studies Revolutionizing ER Experience with AI: A TeleMedCo Case Study

	Revolutionizing ER Experience with AI: A TeleMedCo Case Study ENO8

Revolutionizing ER Experience with AI: A TeleMedCo Case Study

ENO8

Technology Category	Analytics & Modeling - Machine Learning Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries	Cement Healthcare & Hospitals
Applicable Functions	Product Research & Development
Use Cases	Construction Management Speech Recognition
Services	System Integration
Challenge	TeleMedCo, a startup formed by a team of doctors and business professionals, identified a significant inefficiency in the healthcare industry. The emergency room (ER) experience was found to be massively expensive and often inefficient, with 50-80% of ER visitors being in non-critical condition. This led to doctors having to prioritize treatment, running tests, and evaluating medical histories, which could result in slow or incorrect diagnoses. The challenge was to modernize, streamline, and expedite the ER experience for both doctors and patients. However, to secure buy-in from hospitals and doctor groups, TeleMedCo needed a proof-of-concept that caregivers could interact with and use. The team lacked software, hardware, or artificial intelligence expertise, and thus required a technology partner to develop a diagnosis solution and integrate it into a working prototype for demonstration purposes. Read More
About Customer	TeleMedCo is a startup formed by a team of doctors and business professionals. They identified a significant inefficiency in the healthcare industry, particularly in the emergency room (ER) experience. The team recognized that the ER process was not only expensive but also inefficient, with a large percentage of ER visitors being in non-critical condition. This led to a need for doctors to prioritize treatment, often resulting in slow or incorrect diagnoses. TeleMedCo sought to apply cutting-edge technological systems and processes to modernize, streamline, and expedite the ER experience for both doctors and patients. However, they lacked the necessary technical expertise to develop a solution and required a technology partner to help them. Read More
Customer Name	TeleMedCo Read More
Solution	In their quest for seed capital, TeleMedCo partnered with ENO8 to develop a working prototype capable of automating the entire ER 'chest pain protocol'. This prototype served as a proof-of-concept to secure backing. The solution began with a voice user interface between an iPad app and the patient. ENO8 integrated the app with IBM’s Watson and trained the AI to analyze and recognize specific conditions within chest x-rays and/or EKGs. This allowed the iPad app to move the patient either to a non-critical care protocol or automatically video conference in a physician if Watson identified an irregularity within the x-ray or EKG. The solution utilized capabilities such as native iPad app, SWIFT, Python, IBM Watson artificial intelligence integration, real-time image recognition, voice user interface, and video conferencing. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Platform as a Service (PaaS) - Application Development Platforms

Applicable Industries

Cement

Healthcare & Hospitals

Applicable Functions

Product Research & Development

Use Cases

Construction Management

Speech Recognition

Services

System Integration

Challenge

TeleMedCo, a startup formed by a team of doctors and business professionals, identified a significant inefficiency in the healthcare industry. The emergency room (ER) experience was found to be massively expensive and often inefficient, with 50-80% of ER visitors being in non-critical condition. This led to doctors having to prioritize treatment, running tests, and evaluating medical histories, which could result in slow or incorrect diagnoses. The challenge was to modernize, streamline, and expedite the ER experience for both doctors and patients. However, to secure buy-in from hospitals and doctor groups, TeleMedCo needed a proof-of-concept that caregivers could interact with and use. The team lacked software, hardware, or artificial intelligence expertise, and thus required a technology partner to develop a diagnosis solution and integrate it into a working prototype for demonstration purposes.

About Customer

TeleMedCo is a startup formed by a team of doctors and business professionals. They identified a significant inefficiency in the healthcare industry, particularly in the emergency room (ER) experience. The team recognized that the ER process was not only expensive but also inefficient, with a large percentage of ER visitors being in non-critical condition. This led to a need for doctors to prioritize treatment, often resulting in slow or incorrect diagnoses. TeleMedCo sought to apply cutting-edge technological systems and processes to modernize, streamline, and expedite the ER experience for both doctors and patients. However, they lacked the necessary technical expertise to develop a solution and required a technology partner to help them.

Customer Name

TeleMedCo

Solution

In their quest for seed capital, TeleMedCo partnered with ENO8 to develop a working prototype capable of automating the entire ER 'chest pain protocol'. This prototype served as a proof-of-concept to secure backing. The solution began with a voice user interface between an iPad app and the patient. ENO8 integrated the app with IBM’s Watson and trained the AI to analyze and recognize specific conditions within chest x-rays and/or EKGs. This allowed the iPad app to move the patient either to a non-critical care protocol or automatically video conference in a physician if Watson identified an irregularity within the x-ray or EKG. The solution utilized capabilities such as native iPad app, SWIFT, Python, IBM Watson artificial intelligence integration, real-time image recognition, voice user interface, and video conferencing.

Impact #1	With ENO8’s unique and battle-tested development process, a superior, customized solution was developed for TeleMedCo's platform despite a tight schedule. The business, which relies exclusively on its digital technology infrastructure, had its infrastructure effectively eliminated overnight. ENO8 was not only able to rebuild it but also significantly improve that infrastructure to enhance operations, oversight, forecasting, and reporting into the future. More importantly, TeleMedCo now owns and controls the IP behind the solutions built together. They can now white-label the technology solution designed for them and sell it to other businesses requiring similar solutions. This allows them to recoup its development investment and turn its technology platform into another, distinct revenue stream.

Impact #1

With ENO8’s unique and battle-tested development process, a superior, customized solution was developed for TeleMedCo's platform despite a tight schedule. The business, which relies exclusively on its digital technology infrastructure, had its infrastructure effectively eliminated overnight. ENO8 was not only able to rebuild it but also significantly improve that infrastructure to enhance operations, oversight, forecasting, and reporting into the future. More importantly, TeleMedCo now owns and controls the IP behind the solutions built together. They can now white-label the technology solution designed for them and sell it to other businesses requiring similar solutions. This allows them to recoup its development investment and turn its technology platform into another, distinct revenue stream.

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Overview

Revolutionizing ER Experience with AI: A TeleMedCo Case Study

Operational Impact