Table 4.
Source (health condition) | Purpose | Intervention description |
Gillis et al, 2015 (Disaster relief) |
To provide a hands-free way for doctors to be updated on the status and needed-care levels of critical-care patients | Developed a mesh network that covered a set area to allow communication between users and the hospital |
Users wore GG and could communicate with each other across the lake | ||
Users were then able to use the information they were getting in the field, record it, and relay it back to the hospital | ||
Carenzo et al, 2014 (Disaster relief) |
To aid in nontechnical skills in the management of disasters and mass casualty incidents | Used an app to GG to guide a Simple Triage and Rapid Treatment Triage visually |
Focused heavily on casualty identification, therefore the facial recognition capabilities for GG were used | ||
Visual information was then relayed to a secondary location for others to monitor | ||
Cicero et al, 2014 (Disaster relief) |
To streamline the triage system and then also offer consultations from an expert physician to those onsite | Paramedics used GG to communicate with an offsite physician disaster expert |
They assigned triage levels to victims using the SMART Triage System | ||
Offsite physician had an audio-video interface with paramedics so they could be observed in the offsite location | ||
Newaz and Eide, 2015 (Disaster relief) |
To provide direction to first responders in a new area | One group used GG as a tool for navigation |
The other group used a different device to navigate an unfamiliar neighborhood | ||
The route was preset on GG or the other device | ||
Paxton et al, 2015 (Behavioral sciences) |
To determine how interpersonal dynamics in conversation are affected by the environment | The app PsyGlass was created for GG |
The students wore GG and were presented with a series of red or blue lights as well as audio stimuli | ||
They had a conversation with the experimenter and their head movements were recorded through the GG accelerometer | ||
Pappachan et al, 2014 (Diagnostics) |
To assist community health workers to more efficiently diagnose patients | Uses Rafiki, a GG software that calculates age and gender and other characteristics to diagnose a patient |
Correlates between diseases, symptoms, and patients to determine the problem | ||
Pascale et al, 2015 (Nursing – peripheral detection) |
To help clinicians, such as nurses, pay attention to multiple patients while away from their station | Provided stimuli in the periphery of the nurses |
GG was used to detect and notify the nurses when something was presented in their peripheral vision | ||
Yuan et al, 2015 (Neurology) |
To make a neurological examination as accurate as possible through collaboration | A woman that suffered a right-sided dysphagia and asthenia was in the emergency department with a suspected stroke |
A local physician lacking neurological knowledge used GG to establish a teleconsult with a remote specialist who guided the physician in evaluating the patient | ||
Chaballout et al, 2016 (Student training – health science students) |
To teach health care students to respond to respiratory distress | Students watched a video while wearing GG |
Video showed a patient in respiratory distress | ||
Students then performed a procedure to aid respiratory distress on a manikin in front of them | ||
Drake-Brockman et al, 2016 (Anesthesiology) |
To allow anesthesiologists to monitor vitals of patients during procedures | AnaeVis was developed to run on GG, which provides visualization of patient monitoring data |
Anesthetists wore the device while treating the patient and the signals were shown and recorded | ||
Iversen et al, 2015 (Student training – physiotherapy students) |
To record 1st-person view of procedures demonstrated by instructors to relay to students for training purposes | Faculty member wore GG during the performance of clinical skills |
Video of clinical skill performance was then shown to students for the purpose of teaching | ||
Son et al, 2015 (Student training – otolaryngology residents) |
To improve otolaryngology resident training by capturing 1st-person recordings of clinic encounters for later evaluation | Residents were recorded in an outpatient clinic by patients |
Patients were then given a survey to complete that rated their satisfaction level with their visit | ||
Video information was evaluated by two different parties and a review was given back to residents | ||
Spaedy et al, 2016 (Radiology) |
To improve the efficiency of remote chest X-ray interpretation | Fellows reviewed 12 chest X-rays with 23 major findings by viewing the image on GG, viewing an image taken by GG on a mobile device, and viewing the original X-ray on a desktop computer |
One point was given for each major finding | ||
Russel et al, 2014 (Student training – medical students [radiology]) |
To determine if GG could provide telementoring instruction in bedside ultrasonography | Students wore GG and received real-time telementoring education |
Telementoring was done by an expert at a different location | ||
Students’ goal was to obtain best parasternal long axis cardiac imaging using a portable GE Vscan | ||
Wu et al, 2014 (Student training – medical students and radiology residents) |
To minimize the amount of distraction caused by monitors during ultrasounds | Medical practitioner wore the GG during the ultrasound procedure |
GG screen projected images and video to the wearer | ||
Practitioner’s hand movements and eye movement were recorded to see if there was improvement | ||
Widmer et al, 2014 (Dermatology and Radiology) |
To improve diagnostics in dermatology and cardiology | Participants would wear GG during a consultation |
ParaDISE app was developed to be a medical image retrieval system | ||
GG’s visual and photo taking capabilities were utilized and then the photograph was sent into the interface and could be matched with similar images | ||
Those similar images were then sent to the wearer | ||
Stetler et al, 2015 (Cardiology) |
To capture and facilitate the interpretation of ECGs | ECGs were selected that had important findings |
GG zoom capabilities were used to identify each finding | ||
Every time a participant identified a finding they received one point | ||
ECGs were captured using the video function of GG | ||
Duong et al, 2015 (Cardiology) |
To facilitate the interpretation of coronary angiograms | GG’s video function was used to record angiograms with specific findings |
Students were then told to try to determine each of the findings in the angiograms | ||
Jeroudi et al, 2014 (Cardiology) |
To facilitate the interpretation of ECGs | Physicians wore GG and looked at the ECG image on the screen |
Physicians wore GG and viewed a photograph of the ECG taken using GG and then viewed on a mobile device | ||
Results were then compared to other methods of viewing ECGs | ||
Vallurupalli et al, 2013, (Student training – medical students [cardiology]) |
To improve resident training by streaming the view of residents during simulations to attending physicians for consultation | Residents wore GG while working through four scenarios in cardiovascular practice |
Live video of the scenarios taken by GG was streamed to a mobile phone or personal computer used by the attending physician | ||
Benninger, 2015 (Radiology) |
To facilitate teaching anatomy to medical students | Students familiarized themselves with GG for 10-30 minutes using a program called MiniGames |
Students were then given tutorials in groups of 3-5 while using GG with a finger probe to identify neuromuscular and organ structures and spaces in the limbs and cavities | ||
Students were tested during 7 separate laboratory examinations over 1 year to identify the same structures and practice procedures | ||
Vaughn et al, 2016 (Student training – nursing students) |
To increase the perception of realism in nursing student simulations | Students were allowed 10 minutes to familiarize themselves with GG before the intervention |
Students were then given the patient report and started the simulation in which GG projected a video of an acute asthma exacerbation scenario | ||
1-2 Certified Healthcare Simulation Experts evaluated students’ performance | ||
Zahl et al, 2016 (Student training – dental students) |
To facilitate self- and peer-assessment of standardized patient (SP) interactions for dental students | 3rd-year dental students volunteered to record their SP encounter using GG while a traditional static camera simultaneously recorded |
All GG and static camera videos were later reviewed during Behavioral Patient Management small group discussions | ||
Students rated how effective each type of video was for assessing communication skills | ||
Feng et al, 2015 (Diagnostics – HIV or cancer) |
To improve the efficiency of immunochromatographic diagnostic test analysis | One or more RDTs, either HIV (qualitative) or PSA (quantitative), labeled with QR codes were imaged using GG |
Images were automatically transmitted to a digital server that located all RDTs and produced a quantitative diagnostic result, which was reported to user | ||
Spencer et al, 2014 (Pulmonology – airway assessment for burn victims) |
To facilitate airway assessment of burn patients requiring surgery | GG was worn by physicians during two cases of burn patients requiring airway assessment |
Documentation of procedure by GG was evaluated after the intervention | ||
Tully et al, 2015 (Student training – medical students [hospice]) |
To facilitate medical student self-evaluation after end-of-life SP encounters | 2nd-year medical students participated in end-of-life SP encounters where the SP was wearing GG to record the encounter |
Students then reviewed GG and traditional videos | ||
Albrecht et al, 2014 (Pathology – autopsy and postmortem examinations) |
To evaluate the feasibility of using GG in a forensics setting | Two physicians wore GG during 4 autopsy and postmortem examinations and took images using both GG and a traditional digital single lens reflex (DSLR) camera |
Six forensic examiners evaluated the images for quality | ||
Aldaz et al, 2015 (Chronic wounds) |
To facilitate photo documentation of chronic wounds for long-term care | Wound care nurses used SnapCap software on GG to take images, tag, and transfer them to patient electronic medical records |
Image quality and ease of use were evaluated | ||
Chai et al, 2015 (Toxicology) |
To facilitate toxicology teleconsultation in the emergency department | Emergency medicine residents wore GG while evaluating poisoned patients |
Real-time video of physician findings was transmitted to toxicology fellows and attendings for evaluation | ||
Chai et al, 2014 (Dermatology) |
To facilitate dermatology teleconsultation in the emergency department | Patients first had a standard dermatology consultation (phone call and sometimes a static photo of the rash) with a dermatology resident |
Patients were then evaluated by the dermatology chief resident through a real-time video filmed by the patient (wearing GG) and viewed by the physician on a tablet |