News | October 07, 2013

Philips, Accenture Create First Proof of Concept for Delivering Patient Data via Google Glass

Information technology Patient monitoring ecg EMR Philips accenture google glass

October 7, 2013 — Royal Philips and Accenture announced the creation of a proof-of-concept (POC) demonstration that uses a Google Glass head-mounted display for researching ways to improve the effectiveness and efficiency of performing surgical procedures. The demonstration connects Google Glass to Philips IntelliVue Solutions and proves the concept of seamless transfer of patient vital signs into Google Glass, potentially providing physicians with hands-free access to critical clinical information.

The new concept demonstration depicts how a doctor wearing the display could simultaneously monitor a patient’s vital signs and react to surgical procedural developments without having to turn away from the patient or procedure. A physician could also monitor a patient’s vital signs remotely or enlist assistance from doctors in other locations.

“We live in a world where being nimble is key and industry-altering ideas need to be converted to practical solutions that people can use,” said Michael Mancuso, CEO, patient care and clinical informatics at Philips Healthcare. “This research explores how doctors can achieve better access to the right information at the right time so they can focus on more efficient and effective patient care. It’s a first step in researching how existing technologies can be applied to improve the quality of life of patients.”

Researchers from Philips’ newly created Digital Accelerator Lab, a cross-sector innovation platform with labs based in the Netherlands and India, collaborated with researchers from Accenture Technology Labs to explore the potential use of Google Glass in clinical settings. The goal was to create the first proof of concept for Google Glass and Philips IntelliVue Solutions and then to begin exploring additional opportunities to integrate Google Glass seamlessly with Philips healthcare solutions.

“Accenture’s work with Philips showcases a powerful use of wearable devices in the healthcare industry, helping physicians perform their jobs more effectively and enhancing care for patients,” said Paul Daugherty, chief technology officer, Accenture. “This exciting work highlights the potential of digital technologies to transform the way we work and live, and we’re pleased to have collaborated with Philips to help bring this vision to life.”

Aside from the possibility of operating in a hands-free environment, the Google Glass IntelliVue Solution research effort was developed to explore how to enhance a clinician’s mobility by allowing the seamless transfer of patient information while on the go. Further research may indicate how to possibly enable clinicians to keep their focus on the patient while simultaneously obtaining a live view of critical patient monitoring data.

Additional topics for research may include:

• Accessing a near real-time feed of vital signs in Google Glass

 Calling up images and other patient data by clinicians from anywhere in the hospital

• Accessing a pre-surgery safety checklist

• Giving clinicians the ability to view the patient in the recovery room after surgery

• Conducting live, first-person point-of-view videoconferences with other surgeons or medical personnel

• Recording surgeries from a first-person point-of-view for training purposes

 

For more information: www.philips.com, www.accenture.com

Related Content

M*Modal and Community Health Network Partner on AI-powered Clinical Documentation
News | PACS Accessories | June 13, 2019
M*Modal announced that the company and Community Health Network (CHNw) are collaborating to transform the patient-...
A static image drawn from a stack of brain MR images may illustrate the results of a study. But a GIF (or MP4 movie), created by the Cinebot plug-in, can scroll through that stack, providing teaching moments for residents and fellows at Georgetown University

A static image drawn from a stack of brain MR images may illustrate the results of a study. But a GIF (or MP4 movie), created by the Cinebot plug-in, can scroll through that stack, providing teaching moments for residents and fellows at Georgetown University. Image courtesy of MedStar Georgetown University Hospital

Feature | Information Technology | June 13, 2019 | By Greg Freiherr
Editor’s note: This article is the third in a content series by Greg Freiherr covering the Society for Imaging In
Studycast PACS Adds Two-factor Authentication to Improve Data Privacy and Security
News | Cybersecurity | June 12, 2019
Core Sound Imaging announced the addition of two-factor authentication (2FA) to the security measures available for the...
The Current Direction of Healthcare Reform Explained by CMS Administrator Seema Verma
News | Radiology Business | June 11, 2019
June 11, 2019 — Centers for Medicare and Medicaid Services (CMS) Administrator Seema Verma addressed the American Med
Medivis SurgicalAR Gets FDA Clearance
Technology | Virtual and Augmented Reality | June 10, 2019
Medivis announced that its augmented reality (AR) technology platform for surgical applications, SurgicalAR, has...
Glassbeam Announces New Clinsights Application Suite for Healthcare Provider Market
Technology | Analytics Software | June 10, 2019
Glassbeam launched Clinsights, a new revitalized application suite powered by artificial intelligence/machine learning...
The DeepAAA algorithm, developed at the MGH & BWH Center for Clinical Data Science, accurately detected and measured an abdominal aortic aneurysm (AAA) in a CT image even though appearance of the AAA was complicated by a blood clot

The DeepAAA algorithm, developed at the MGH & BWH Center for Clinical Data Science, accurately detected and measured an abdominal aortic aneurysm (AAA) in a CT image even though appearance of the AAA was complicated by a blood clot. (The algorithm drew a green circle around the aneurysm.) Image courtesy of Varun Buch, MGH & BWH Center for Clinical Data Science

Feature | Artificial Intelligence | June 10, 2019 | By Greg Freiherr
Editor’s note: This article is the second in a content series by Greg Freiherr covering the ...
Client Outlook's eUnity Smartviewer Selected by Duke University Health System
News | Remote Viewing Systems | June 04, 2019
Client Outlook Inc. announced that Duke University Health System has implemented eUnity for enterprise viewing...
Sponsored Content | Whitepapers | Vendor Neutral Archive (VNA) | June 04, 2019
The evolution from standalone PACS to extensive Enterprise Imagining Solutions created the need to archive informatio
SIIM and ACR Host Machine Learning Challenge for Pneumothorax Detection and Localization
News | Artificial Intelligence | June 03, 2019
The Society for Imaging Informatics in Medicine (SIIM) and the American College of Radiology (ACR) are collaborating...