The VR Doctor: The World’s First Accredited VR Assisted Emergency Life Support Course

On April 19th 2017 there were excited optimistic looks, piercing sceptical glances and eyes that confidently said aloud “so we are about to take a footstep into the future of medical education” – like they were prepared to see a scene from Quantum Leap or Back To The Future.

The registered nurses, health care assistant receptions and two general practitioner doctors of Estover GP surgery practice who filled the room sat aligned listening to me introducing them to the world’s first accredited Basic Life Support Virtual Reality assisted training course. The staff members of this medium sized GP surgery based in Plymouth England would be taught the fundamentals and theory underpinning basic emergency life support and given virtual reality (VR) and manikin based simulated scenarios to show competence to the goal of achieving a pass certificate thus being licensed and trained to deliver quality BLS.

None of the course trainees had ever personally experienced VR before in their lives, their recollection of the buzzword which was VR was amalgamated from Hollywood blockbusters which in some cases was an easy comparison to surpass and in other cases impossible.





The previous 6 months of development phases leading up to this case study involved expertise from a variety of specialisms including clinical medicine, medical education, psychology of learning and instruction, VR software development and gamification.

As doctors a hardwired structural scientific approach is second nature to us when undertaking projects like this in contrast to the usual methods used to lead development of VR games which is lead more so by free creativity from experienced directors. A key difference here is the objective, our aim was firstly to develop a VR emergency life support learning programme and could be used alone or alongside a traditional course to effectively train people in the skill of BLS and secondly to be engaging, fun conversely the objective of typical VR games is to create optimally enjoyable and fun gameplay experiences. During the development phase the secondary objective of being fun grew in importance as we evaluated and derived the intersection of fun, engagement, learning instructional design and learning effectiveness.

The developmental process exposed aspects of wider issues with the current medical education in particular the gap between academic research findings and utilising the statistically strong research finding for the betterment of medical education. A well-documented fallacy where by the healthcare industry is painfully slow to adopt beneficial practices, arguably a multitude of reasons contribute to this some valid and some not. A particular invalid reason for this is the culture of medical education especially in the UK where by traditional outdated methods of teaching remain in use arguably because the management personnel controlling the direction are they themselves outdated.

Another fallacy is the unwillingness of medical education institutions to innovate this is attributed mainly to limited budgets whether caused by low priority government controlled university funding and/or National Health Service (NHS) mismanagement and poor funding allocation. Perhaps the health system should take a page out of Google’s book and adopt the mentality of investing massively unorthodox budgetary proportions in R&D in the theory that the product of this investment generates more value and cost effectiveness in the long run, Google don’t seem to be doing a bad job following their theories!

This particular application of VR to medical education was selected because of the need for a more effective emergency life support training programme has been demonstrated by the European and UK Resuscitation Council’s recorded survival rates after cardiac arrests in the UK. Approximately 28,000 in hospital cardiac arrests occur annually with a survival rate (leaving hospital alive) of 9% in the UK which lags behind other developed western nations. To give examples Norway is 25%, North Holland is 21%, whilst Seattle in the US on its own is 20%.[i] Scientific Studies have shown that survival from a cardiac arrest improves greatly with effective CPR and rapid defibrillation. BLS is currently taught using lectures and with demonstration and practice on a life-size manikin, perhaps VR can increase the undertaking of BLS training and make the learning more effective.

The fundamental learning theory underpinning the hypothesis that VR simulation represents a pathway for superior learning effectiveness for clinical education is illustrated by Miller’s Prism of clinical competence, a well-recognized framework for assessing levels of clinical competence within the medical education specialty.[ii]

 

Studies show the bottom two levels, the cognition levels (‘knows’ or ‘knows how’) correlates poorly with the behavior levels (‘shows’ or ‘does’):  a student/trainee who knows how to do something doesn’t necessarily mean that they will do it when needed.  But it’s important that student/trainee do what they know in practice otherwise there’s no point learning it.

Thus, learning systems that guide the learner to progress through the ‘shows’ and ‘does’ levels (behavior) are more effective. Virtual reality simulation as opposed to the current gold standard for clinical education; manikin based simulation specifically offers an alternate type of simulation with different dynamics, advantages and disadvantages which need to be explored by robust research to outline the optimum role for VR within clinical education to more effectively train healthcare professionals and non-health care professionals alike.[i]

Results

How Effective Was It:  A Qualitative Analysis

Feedback was collected through feedback forms, with ratings from 1-10.

  • Confidence in performing BLS before and after sitting course.
  • Enjoyment of session
  • Effectiveness compared to past courses
  • Uniqueness of teaching methods
  • Overall Rating

Each parameter rating above had space for the candidate to provide worded responses to explain their rating and to highlight positives and negatives of the session. In addition, we asked trainees whether they would recommend the course instead of a normal course to others.

User confidence before and after Medigage BLS course

Candidates globally report a higher level of confidence after the Medigage BLS course than beforehand. There is a pattern shown above that the clinically trained staff had higher confidence levels in BLS than the non-clinical staff. However non-clinical staff showed far greater improvement in confidence after attending the Medigage BLS course

User feedback on enjoyment, effectiveness and uniqueness of Medigage

Average enjoyment of Medigage BLS was 7.6/10 with most criticism coming from GP2, she reported that “the VR headset was difficult to get used to” and “the input touch pad was tricky to use”. She also mentioned that she is “not computer savvy”. Users ranked effectiveness at 8.2/10 on average and 9.8/10 on uniqueness and 8.2/10 overall.

User recommendation of Medigage BLS Course

4/5 of candidates reported that they would recommend the course to others.

Table showing user written comments

The results speak for themselves and key areas of further development to integrate VR application into medical education were demonstrated in particular an emphasis on hardware ergonomics. A less obvious inference and perhaps more valuable evaluation conclusion from this project is exposing the type and character of gaps in medical education which are more suitable for disruption by virtual reality. For example, a VR surgical training simulation could be significantly faster and more effective in teaching surgical trainees a specific procedure than all current non-VR training methods but how much faster does it need to be to be worth replacing the current status quo. In what way is it more effective and by how much quantitatively, these factors depend on many different variables in particular the actual procedure being simulated and the method by which it is current trained for. For example, the strangulated hernia repair or appendectomy is taught in broad stages of.

  • Knowledge – Reading, listening, watching outside the OR
  • Watching and assisting in the OR
  • Performing under supervision in the OR
  • Leading the procedure in the OR

In one swift statement, where in this process of stages does VR simulation fit in to contribute a significant benefit to the end outcome. End outcomes include:

  • Less complications/errors from the procedure
  • Cost effectiveness
  • More satisfied patient
  • More surgical trainees who feel confident to lead procedures in a shorter space of time.

Predictions in VR medical education

  1. The next 3-5 years will see the advent of a commercial and robust haptics glove which will be the tipping point for commercially viable and accurate VR surgical simulation.
  2. Before complex OR (operating room) surgical procedure simulation in VR is a viable possibility, simulation of non-surgical procedures will be adopted first, i.e. emergency management of critically ill patients and bed side procedures.
  3. The Toyal Colleges of Surgeons and other speciality membership level colleges must accept and qualify the validity and benefit of VR simulation training before they are widely used and accepted, especially as structural parts of specialist training programmes.
  4. Gamification will be a crucially important feature of the series of VR applications that introduce non-technology orientated individuals into VR for medical education.

Medigage Ltd continue to deliver the VR assisted BLS accredited course across the UK and abroad whilst developing the further VR emergency applications for use within the NHS.

To find out more information on the methodology and results of this and other research conducted by Medigage or to inquire into their emergency life support courses contact them.

The VR Doctor: Where Virtual Reality Meets Artificial Intelligence For Healthcare

In the next instalment of feature series Dr. Raphael Olaiya, a NHS doctor and medical education academic, who works with the NHS on virtual reality (VR) immersive training programmes for doctors and nurses. Discusses the meeting point of VR and A.I. for healthcare. 

We can see it, feel it, touch it, taste and even smell it, virtual reality (VR) is very tangible and its sophistication and fidelity are increasing at a rate where anyone who self-identifies as a technology fan must chase updates biweekly to prevent being left behind. An accepted consensus is that by 2030 VR/Augmented Reality (AR) with be the fundamental platform for mobile communication and be firmly embedded as a mainstay within the industries of energy, entertainment, education, training and healthcare.

Raphael Olaiya

Conversely A.I., artificial intelligence from the perspective of the average self-identified technology fan can only be perceived in depictions from what Hollywood directors spoon feed us. An optimistic but plausible feat all the same, however actualizing it seems much more of a lucid dream than reality for the masses. When Siri, Catana and Amazon Echo are publically self-hailing themselves as having artificially intelligent capability it throws the masses of technology hobbyists into confusion because the only thing they see here is glorified voice recognition search tools.

A.I.: Glorified Voice Recognition Search Tools

A.I. to the masses means firstly on demand adaptive learning and android-esque tendencies physically, emotionally or intellectually stemming from Hollywood’s portrayal of characters including J.A.R.V.I.S from Iron Man, Skynet, Bicentennial Man, Ex Machina, Star Wars amongst others. This example highlights a problem with the classification of the definition of A.I. which has lead to a degree of trivialization of commercial A.I. and reducing its appeal because the recurrent depictions are just simply not realistic technology right now.

Trivialization of Commercial A.I. and Reducing its Appeal

Robot Earth

Delving deeper in A.I. technicalities, A.I. is certainly alive and kicking. IBM Watson at the forefront with Google Deepmind, Microsoft Oxford and currently changing the way businesses trade, the way doctors diagnose and how engineers construct. Deep learning algorithms that are able to re-synthesize formulae for future tasks based on the results of previous formulae. However, the reach of IBM Watson and its cousins seems somewhat disconnect to the masses. Why? This boils down to the sedimentary reasons of;

  1. The current level of cutting edge A.I. in 2017 focuses on area specific ( i.e. IBM Watson X Sloan Kettering partnership focusing on more effective and efficient cancer diagnosis and treatment ) big data processing and delivers directed specific answers after arduous instructions and direction from the subject matter experts i.e. world-renowned oncologists. So the focus of technological advancement is not on A.I. for consumer tech rather for area specific specialist.
  1. There is not a strong enough tie yet between the organisations/companies with mass consumer reach and the tech communities working hard on breakthrough expert level programming needed to adapt up to date artificial intelligence tech to a use that will serve the masses directly. This disconnection will soon bridge.
  1. Tangible applications to channel current available A.I. tech into “perceived real A.I.” applications have not taken off in the open market yet. Eager A.I. fans wait for the anticipated killer/golden app. The app that will utilise A.I. technology in a way that bridges away from the island of gimmick and enters a realm of the value add whether it be saving time, money, or enhancing entertainment.

VR/AR represents a golden ticket opportunity to present to the mass consumer market a application of artificial intelligence that is very easy to relate to and get excited about for anybody. This highlights the importance of the user experience and perception of A.I., for example, an A.I. application field that billions of dollars are currently being invested to currently is an A.I. medical diagnosis tool for patients with no/delayed access to a doctor. It doesn’t take a controlled experiment for us to agree that the user experience would be more successful with a realistic CGI android style VR/AR artificially intelligent voice

A Golden Ticket Opportunity

Recognising an A.I. nurse/doctor as such more than a messenger style chat box despite having the exact same level of A.I. sophistication is such.

Health Robot

Whether or not we define or perceive A.I. as algorithmic formulae clever enough to generate more formulae and build upon past experience, in order to learn deeply coupled with a powerful searching function doesn’t take away the fact that how we interact with it is the most important feature of all! After all, A.I. is for the betterment of our lives, to increase joy and pleasure, ease suffering and further the realisation of our ability as humans to supersede ourselves.

VR and A.I. intertwining in a multidisciplinary approach to serve us more holistically is the goal. Healthcare a universal priority is a worthwhile focus point for this blending.

Application for A.I. and VR/AR for healthcare: (Non-exhaustive)

  1. Hospital or healthcare facility management and work flow visualisation, planning and implementing.
  1. On demand patient healthcare triage system to prioritise medical or surgical emergencies.
  1. On demand patient home diagnosis. (limited without clinical judgement and examination)
  1. Artificially intelligent VR/AR assistants for Medical doctors to reduce errors.
  1. Medical education and simulation training adaptive to the own users learning style to optimise learning and retaining knowledge.
  1. Demonstrating the neural pathway of the artificially intelligent system in use: There will be a point where the AI being used for healthcare reaches a point that we as humans cannot comprehend the process. VR/AR represents a method by which these processes can be explained to us more effectively than code.

So just as this article started to see it, feel it, touch it, taste and even smell to do this is to make A.I. a human experience.

You can contact Dr. Raphael Olaiya on this topic or his work at Medigage Ltd via raphael.olaiya@nhs.net.

 

 

 

How virtual reality is changing the game in healthcare

UK hospitals are turning to simulation and the virtual world to train healthcare professionals in medical procedures

In a small operating theatre underneath University College London hospital, a team of cardiologists are in a race against time. They’re performing an angioplasty, a delicate and dextrous procedure where tiny wires are inserted into the heart to widen coronary arteries narrowed by plaque buildup. Things have gone badly wrong.

One of the wires has perforated the artery walls, causing a rapid leakage of blood. With fluid building up around the heart, the team must act quickly. A microscopic balloon has to be blown up inside the artery to stop further blood loss, before a drain is inserted through a tiny keyhole incision to remove the excess. This has to be done in less than five minutes to prevent the patient going into cardiac arrest.

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