Life-Like Hologram Patients Train Doctors for Real-Time Decision Making in Emergencies
|
By HospiMedica International staff writers Posted on 30 Jun 2022 |

A medical training project using 'mixed reality' technology aims to make consistent, high-level and relevant clinical training more accessible across the world.
University of Cambridge (Cambridge, UK) in partnership with GigXR (Los Angeles, CA, USA) is developing HoloScenarios, a new training application based on life-like holographic patient scenarios. Learners in the same room, wearing Microsoft HoloLens mixed-reality headsets, are able to see each other in real life, while also interacting with a multi-layered, medically accurate holographic patient. This creates a unique environment to learn and practice vital, real-time decision making and treatment choices.
Through the same type of headset, medical instructors are also able to change patient responses, introduce complications and record observations and discussions - whether in person in a teaching group or remotely to multiple locations worldwide, via the internet. Learners can also watch, contribute to and assess the holographic patient scenarios from Android, iOS smartphone or tablet. This means true-to-life, safe-to-fail immersive learning can be accessed, delivered and shared across the world, with the technology now available for license to learning institutions everywhere. The first module features a hologram patient with asthma, followed by anaphylaxis, pulmonary embolism and pneumonia. Further modules in cardiology and neurology are in development.
Delivered by the Gig Immersive Learning Platform, HoloScenarios aims to centralize and streamline access and management of mixed reality learning, and encapsulate the medical experience of world-leading doctors. The new technology could also provide more flexible, cost-effective training without heavy resource demands of traditional simulation, which can make immersive training financially prohibitive. This includes costs for maintaining simulation centers, their equipment and the faculty and staff hours to operate the labs and hire and train patient actors.
“Mixed reality is increasingly recognized as a useful method of simulator training,” said Dr Arun Gupta, consultant anesthetist at CUH and director of postgraduate education at Cambridge University Health Partnership, who is leading the project. “As institutions scale procurement, the demand for platforms that offer utility and ease of mixed reality learning management is rapidly expanding.”
“Our research is aimed at uncovering how such simulations can best support learning and accelerate the adoption of effective mixed reality training while informing ongoing development,” said Professor Riikka Hofmann at Cambridge’s Faculty of Education who is leading an analysis of the new technology as a teaching and learning resource. “We hope that it will help guide institutions in implementing mixed reality into their curricula, in the same way institutions evaluate conventional resources, such as textbooks, manikins, models or computer software, and, ultimately, improve patient outcomes.”
Related Links:
University of Cambridge
GigXR
Latest AI News
- Machine Learning Approach Enhances Liver Cancer Risk Stratification
- New AI Approach Monitors Brain Health Using Passive Wearable Data
- AI Tool Maps Early Risk Patterns in Bloodstream Infections
- AI Model Identifies Rare Endocrine Disorder from Hand Images
- AI Tool Promises to Reduce Length of Hospital Stays and Free Up Beds
- Machine Learning Model Cuts Canceled Liver Transplants By 60%
Channels
Critical Care
view channel
Automated IV Labeling Solution Improves Infusion Safety and Efficiency
Medication administration in high-acuity settings is often complicated by multiple concurrent infusions, making accurate line identification essential. In a 10-hospital intensive care unit study, 60% of... Read more
First-Of-Its-Kind AI Tool Detects Pulmonary Hypertension from Standard ECGs
Pulmonary hypertension is a progressive, life‑threatening disease that is frequently missed early because symptoms such as dyspnea are nonspecific and diagnostic delays can exceed two years.... Read moreSurgical Techniques
view channel
Continuous Monitoring with Wearables Enhances Postoperative Patient Safety
Postoperative hypoxemia on general surgical wards is common and often missed by intermittent vital sign checks. Undetected low oxygen levels can delay recovery and raise the risk of complications that... Read more
New Approach Enables Customized Muscle Tissue Without Biomaterial Scaffolds
Volumetric muscle loss is a traumatic loss of skeletal muscle that often leads to permanent functional impairment and limited reconstructive options. Current experimental strategies struggle to deliver... Read morePatient Care
view channel
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read more
Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read moreHealth IT
view channel
EMR-Based Tool Predicts Graft Failure After Kidney Transplant
Kidney transplantation offers patients with end-stage kidney disease longer survival and better quality of life than dialysis, yet graft failure remains a major challenge. Although a successful transplant... Read more
Printable Molecule-Selective Nanoparticles Enable Mass Production of Wearable Biosensors
The future of medicine is likely to focus on the personalization of healthcare—understanding exactly what an individual requires and delivering the appropriate combination of nutrients, metabolites, and... Read moreBusiness
view channel







