The document describes the development of interfaces for medical imaging and training systems. It summarizes:
1) The development of an interface for a haptic robotic simulator to train clinicians in central venous catheter insertion. User research and prototyping informed the design of a dashboard to provide performance feedback.
2) The design of mockup mobile apps to help paramedics conduct home visits for community healthcare. One app guided fall risk assessments, while another focused on patient case management.
3) Work with Medrad to create a centralized interface for their Certegra imaging software. Field research of imaging workflows informed a design that prioritized efficiency through a team-based approach.
No harm, no foul: Canadian Journal of Medical Laboratory ScienceJane Langille
Hands-on simulation experience allows healthcare workers to get messy, make mistakes and hone problem-solving skills — with no risk to patients. In this feature story for the Canadian Journal of Medical Laboratory Science, I explore trends in simulation in education at the undergrad level at The Michener Institute for Applied Health Sciences in Toronto, as well as in-field training provided by a unique mobile simulation specialist in remote areas in northern Alberta.
IUI 2010: An Informal Summary of the International Conference on Intelligent ...J S
Highlights from the main track, poster/demo-session & the VISSW/UDISW/EGIHMI workshops. This is an informal compilation of personal notes from the conference & proceedings, twitter (#iui2010), Ian Ozsvald's blog (http://ianozsvald.com/), and other sources. Citations were not coherently possible, so I chose to stick with links instead. Please let me know if you'd like to see your work more thoroughly referenced.
OBJETIVOS
1. Conocer la normativa más reciente del Consejo Europeo, Directiva 2013/59/EURATOM, sobre las normas de seguridad básicas para la protección contra los peligros derivados de la exposición a radiaciones ionizantes. 2. Conocer los modelos de software tecnológicos que la industria oferta para las tareas de gestión de datos de dosis, y sus opciones de alerta de Seguridad para el paciente radiológico. 3. Personalizar en el Técnico de Radiología el rol competencial - participativo en la gestión de los datos de dosis. 4. Asimilar los conceptos de Seguridad Radiológica, investigación en el daño biológico y Radiobiología, Mapas de Riesgos y gestión de eventos adversos para integrarlos en la Big Data de Radiología.
No harm, no foul: Canadian Journal of Medical Laboratory ScienceJane Langille
Hands-on simulation experience allows healthcare workers to get messy, make mistakes and hone problem-solving skills — with no risk to patients. In this feature story for the Canadian Journal of Medical Laboratory Science, I explore trends in simulation in education at the undergrad level at The Michener Institute for Applied Health Sciences in Toronto, as well as in-field training provided by a unique mobile simulation specialist in remote areas in northern Alberta.
IUI 2010: An Informal Summary of the International Conference on Intelligent ...J S
Highlights from the main track, poster/demo-session & the VISSW/UDISW/EGIHMI workshops. This is an informal compilation of personal notes from the conference & proceedings, twitter (#iui2010), Ian Ozsvald's blog (http://ianozsvald.com/), and other sources. Citations were not coherently possible, so I chose to stick with links instead. Please let me know if you'd like to see your work more thoroughly referenced.
OBJETIVOS
1. Conocer la normativa más reciente del Consejo Europeo, Directiva 2013/59/EURATOM, sobre las normas de seguridad básicas para la protección contra los peligros derivados de la exposición a radiaciones ionizantes. 2. Conocer los modelos de software tecnológicos que la industria oferta para las tareas de gestión de datos de dosis, y sus opciones de alerta de Seguridad para el paciente radiológico. 3. Personalizar en el Técnico de Radiología el rol competencial - participativo en la gestión de los datos de dosis. 4. Asimilar los conceptos de Seguridad Radiológica, investigación en el daño biológico y Radiobiología, Mapas de Riesgos y gestión de eventos adversos para integrarlos en la Big Data de Radiología.
Non-contact, camera-based physiological measurements -
such as blood volume pulse and respiration rate - can now
be inferred by neural networks based on facial videos. This
technology has the potential to enable medical professionals
to make more informed telehealth decisions. Currently, this
software only runs on PCs, without a user interface. The neu-
ral network has a significant computational cost, making it
difficult to deploy on low-cost mobile devices. It also performs
poorly in varied environmental, sensor, personal, and contex-
tual conditions - such as darker skin tones. In this project,
we implement this neural network as an Android app that
runs in real-time; develop a more efficient architecture; evalu-
ate these architectures on older smartphones; and provide an
open-source, simple personalization pipeline to enable users to
calibrate the app. This all serves to make the technology more
democratic: making it available to as many users as possible,
while giving them the means to train and develop it further.
Presented to the 2006 Society in Europe of Simulation Applied to Medicine (SESAM) conference Porto Portugal as part of the Simulation and Safety Culture panel.
Training the EMR: a case-based perspective - drilling downJeanne Winstead
Part two in a four-part series of articles that use a case-based perspective to discuss training clinicians to use an electronic medical record. Based on the writer's 8-week experience in training the EMR at a new hospital.
Establishing Requirements for a Mobile Learning System HBetseyCalderon89
Establishing Requirements for a Mobile Learning System
Helen Sharp, Josie Taylor, Diane Evans and Debra Haley
The Open University
Walton Hall
Milton Keynes MK7 6AA, UK
1. Background
MOBIlearn was a large, multinational European-funded research and development
project that explored new ways to use mobile environments to meet the needs of
learners, working by themselves and with others. The aim of the project was to
develop a new m-learning architecture for a pedagogically-sound mobile learning
environment, and to evaluate an instantiation of that architecture using existing
technologies. A user-centred approach was taken to the project, based on socio-
cognitive engineering (Sharples et al, 2002) and embedded in ISO 13407. The project
team consisted of representatives from more than 15 organisations from seven
European countries plus one Middle Eastern country. Establishing the requirements
for such a project was a complex task, involving many methods and notations. The
project produced several documents and results; some of these are available at
http://www.mobilearn.org. Publications specifically related to mobile learning are
available at http://iet.open.ac.uk/pp/j.taylor/.
This case study draws only on work from the user requirements and evaluation
workpackage to explore the use of scenarios throughout the project and the use of the
Volere shell and template (Robertson and Robertson, 2006) to document the
requirements.
The next section introduces the three strands used as learning domains throughout the
project. Section 3 describes the use of scenarios throughout the project and Section 4
discusses the use of Volere shells and the technology to support them. In Section 5 we
conclude by making some observations about our experiences.
2. The three strands
The project chose three learning domains to drive the research, each of which
represents a distinct learning situation. These are: the Museum strand, the MBA
strand and the Health strand. Data gathering for establishing requirements was
conducted by a different project partner, each strand used different data gathering
techniques, and each produced its own set of requirements which needed to be
rationalised. The three strands and their respective data gathering techniques are
outlined below.
http://www.mobilearn.org/
https://oufe.open.ac.uk/exchweb/bin/redir.asp?URL=http://iet.open.ac.uk/pp/j.taylor/
Museum strand
This strand typifies informal learning and concerns visitors to a museum. Museums
are the mechanism through which we research, interpret and present our insights into
the natural and cultural worlds. They represent our belief systems concerning cultural
inter-relationships, our relationship with the environment and of our place in the
Universe.
Wireless technology is becoming a part of the museum experience. In an effort to
bring art and science to life for a new generation of technically sophisticated patrons,
an increas ...
Non-contact, camera-based physiological measurements -
such as blood volume pulse and respiration rate - can now
be inferred by neural networks based on facial videos. This
technology has the potential to enable medical professionals
to make more informed telehealth decisions. Currently, this
software only runs on PCs, without a user interface. The neu-
ral network has a significant computational cost, making it
difficult to deploy on low-cost mobile devices. It also performs
poorly in varied environmental, sensor, personal, and contex-
tual conditions - such as darker skin tones. In this project,
we implement this neural network as an Android app that
runs in real-time; develop a more efficient architecture; evalu-
ate these architectures on older smartphones; and provide an
open-source, simple personalization pipeline to enable users to
calibrate the app. This all serves to make the technology more
democratic: making it available to as many users as possible,
while giving them the means to train and develop it further.
Presented to the 2006 Society in Europe of Simulation Applied to Medicine (SESAM) conference Porto Portugal as part of the Simulation and Safety Culture panel.
Training the EMR: a case-based perspective - drilling downJeanne Winstead
Part two in a four-part series of articles that use a case-based perspective to discuss training clinicians to use an electronic medical record. Based on the writer's 8-week experience in training the EMR at a new hospital.
Establishing Requirements for a Mobile Learning System HBetseyCalderon89
Establishing Requirements for a Mobile Learning System
Helen Sharp, Josie Taylor, Diane Evans and Debra Haley
The Open University
Walton Hall
Milton Keynes MK7 6AA, UK
1. Background
MOBIlearn was a large, multinational European-funded research and development
project that explored new ways to use mobile environments to meet the needs of
learners, working by themselves and with others. The aim of the project was to
develop a new m-learning architecture for a pedagogically-sound mobile learning
environment, and to evaluate an instantiation of that architecture using existing
technologies. A user-centred approach was taken to the project, based on socio-
cognitive engineering (Sharples et al, 2002) and embedded in ISO 13407. The project
team consisted of representatives from more than 15 organisations from seven
European countries plus one Middle Eastern country. Establishing the requirements
for such a project was a complex task, involving many methods and notations. The
project produced several documents and results; some of these are available at
http://www.mobilearn.org. Publications specifically related to mobile learning are
available at http://iet.open.ac.uk/pp/j.taylor/.
This case study draws only on work from the user requirements and evaluation
workpackage to explore the use of scenarios throughout the project and the use of the
Volere shell and template (Robertson and Robertson, 2006) to document the
requirements.
The next section introduces the three strands used as learning domains throughout the
project. Section 3 describes the use of scenarios throughout the project and Section 4
discusses the use of Volere shells and the technology to support them. In Section 5 we
conclude by making some observations about our experiences.
2. The three strands
The project chose three learning domains to drive the research, each of which
represents a distinct learning situation. These are: the Museum strand, the MBA
strand and the Health strand. Data gathering for establishing requirements was
conducted by a different project partner, each strand used different data gathering
techniques, and each produced its own set of requirements which needed to be
rationalised. The three strands and their respective data gathering techniques are
outlined below.
http://www.mobilearn.org/
https://oufe.open.ac.uk/exchweb/bin/redir.asp?URL=http://iet.open.ac.uk/pp/j.taylor/
Museum strand
This strand typifies informal learning and concerns visitors to a museum. Museums
are the mechanism through which we research, interpret and present our insights into
the natural and cultural worlds. They represent our belief systems concerning cultural
inter-relationships, our relationship with the environment and of our place in the
Universe.
Wireless technology is becoming a part of the museum experience. In an effort to
bring art and science to life for a new generation of technically sophisticated patrons,
an increas ...
2. Dynamic Haptic Robotic Training Simulator
Penn State University College of Engineering, 2016
Central Venous Catheter (CVC) insertion is a process designed to give clinicians convenient access to parts of
a patient’s venous anatomy. Typically, this is done by piercing a large diameter vein –typically in the neck or
inner thigh– with a heavy syringe and running a line through it into the vein. The process was pioneered in
Germany in the 1930s and perfected by doctors in the U.S. in the 40s and 50s.
Like many surgical procedures, aspiring doctors are trained using the “see one, do one, teach one” model.
Simply, this requires the trainee to observe a mentor or instructor performing the procedure, then demon-
strating their own ability and their understanding of key knowledge. This has worked well, however the es-
tablished mentor/trainee model used in medical education is rapidly becoming unfeasible due to the in-
creased demands on instructors’ time.
3. Dynamic Haptic Robotic Training Simulator
Penn State University College of Engineering, 2016
The DHRT simulator is an effort to reduce workload on the instructor by allowing the student to practice
the procedure on their own and get useful feedback on their performance. By adapting an off-the-shelf
haptic feedback device, the device simulates the process of inserting a needle through flesh and puncturing
a vein. Our team’s task was to design a digital interface that took the data generated by the tool and
turned it into information that could be understood by a surgical resident or student.
We talked to clinicians and nurses to gain a thorough under-
standing of the ins and outs (get it?) of CVC line insertion,
conducted research into what sort of VR trainers already ex-
isted in this space. A previous study generated several hours’
worth of video that had to be viewed and transcribed. Once
that was done, content analysis techniques allowed us to find
common themes in what sort of feedback live trainers gave
students, as well as common trouble areas where students
made mistakes. Knowing these gave the team a starting point
for interface development, and paper prototypes were tested
and evaluated by the stakeholders for layout and content.
4. Dynamic Haptic Robotic Training Simulator
Penn State University College of Engineering, 2016
Using a combination of whiteboard sketching and paper prototypes, the team was able to quickly gener-
ate, evaluate, and discard a wide range of ideas for both the overall workflow and specific interface ele-
ments. In addition to the screen and haptic feedback generated by the device, the team experimented
with audio cues but they were deemed to be too distracting to the user.
Final iterations of the paper prototypes were presented to classmates and stakeholders to get outside opin-
ions on what worked and what didn’t. These sessions were recorded and analyzed, playing a major role in
the creation of both final paper and initial digital prototypes. Among the key findings from these testing ses-
sions were that the users would not want to navigate to a lower level of the interface to get key feedback on
their performance. While it was okay to have in-depth feedback on a certain metric be on another screen,
the users wanted a high-level view of how they performed all at once. This led to the creation of a
“dashboard” view with each metric being presented as a screen element that could be opened for further
information.
5. Dynamic Haptic Robotic Training Simulator
Penn State University College of Engineering, 2016
Once a thorough concept was developed on paper, we moved to the computer. The current iteration of
the device was set up to run through MATLAB, and the team was forced to develop the interface compo-
nents using MATLAB’s GUI function. This resulted in an interface that was necessarily simple, with very
little graphical embellishment.
After some iteration, we tested the interface with the device, allowing the physicians and nurses to run
through a training session and get feedback on their performance. Their feedback yielded further insights,
and we were able to again refine the interface before the final handoff. While I was active in all parts of the
project, I took the lead in communicating with the client through both weekly emails and milestone presen-
tations.
The project was very well received, winning our team the “Best Graduate Design” in the College of Engineer-
ing’s 2016 Showcase event in April 2016. The prototype we created is being used as the framework for a ful-
ly functional interface which is being used in upcoming clinical trials.
6. Mobile Applications for Community Paramedicine
Penn State University Master’s Project, 2014-2016
MS students are given the choice of authoring and defending a traditional Master’s thesis or a ‘project’ op-
tion to write a paper suitable for publication in a scientific journal. I decided on the latter, and leveraged
my previous experience in medical device design to explore how mobile devices may be better utilized in
the field of community paramedicine (CPM). CPM is a new field where EMS personnel conduct home fol-
low up and preventative care visits as part of their non-emergency workload. These visits are aimed at
addressing endemic or chronic issues before they become critical and necessitate a trip to the hospital.
Half of the finished paper is a review of related literature from CPM, home healthcare, and mobile technolo-
gy use in emergency medicine. The other component of the work is a series of field interviews with para-
medics, getting their opinions on mobile technology and how it might be better utilized. Part of these inter-
views took the form of the evaluation of mockup application interfaces on an iPhone. While not the focus of
the project, these followed a design process based on my initial research from paper to low-fi digital proto-
typing and were mainly used to focus the interviews and inspire the participants to provide forthright feed-
back.
7. Mobile Applications for Community Paramedicine
Penn State University Master’s Project, 2014-2016
Two different mockups were created that reflected different needs I uncovered during my initial research.
The first is a fall risk assessment app that walks the paramedic through the process of checking a patient’s
house for slip and fall hazards. While essentially an interactive checklist, it provides the user with conver-
sational prompts to engage the patient and explain why each step is important and what corrective action
can be taken. Intended to be comprehensive, the app would provide metrics for both interior and exterior
environments, as well as a physical assessment of the patients themselves.
Upon completion of the checklist, the app would generate a “score” for the patient’s risk of falling, and
recommend possible interventions to lower it.
Checklists are a well established and well researched paradigm in medicine, and allow both clinicians and
EMTs to navigate complex tasks efficiently and safely. It was thought that presenting this elaborate
checklist as a screen-by-screen process would be complete without overwhelming the user.
8. Mobile Applications for Community Paramedicine
Penn State University Master’s Project, 2014-2016
The second mockup is a case management app. Currently, CPMs use patient care reports that were de-
signed for EMS visits, highlighting one of the primary differences between the two services. EMS reports
are designed around a single encounter or incident, usually documenting care delivered by medics at the
scene and then on the way to the hospital. Community paramedics must document a more long-term rela-
tionship with the patient, and current recording methods, both paper and digital, have not met that need.
This mockup was generally more well received than the fall assessment checklist, as while fall assessment
is not a task common to all CPM programs, paperwork is. Many healthcare systems, and the ambulance
and fire companies in the towns they serve, are moving to electronic health records to ensure both conti-
nuity of care and proper billing of the patient or insurer. However, medics in the field still often use pen
and paper to complete a report, later transcribing it into the computer at the end of a shift.
9. Mobile Applications for Community Paramedicine
Penn State University Master’s Project, 2014-2016
It was very interesting to approach this design project as an academic exercise, as having the time to
properly research a topic is not common in an industrial setting. Equipping myself with a through under-
standing of not only the issues faced by EMTs and paramedics but also a familiarity with their specialized
terminology and procedural knowledge helped me make an educated “best guess” at an interface before I
went into the field.
While the initial instinct for the UX researcher may be to go directly to the user and learn as much as possi-
ble from them, I discovered that –especially in medical fields– the user’s time is very limited and very ex-
pensive if you take them away from their work. Conducting a through review of scientific literature in and
around the field of CPM gave me a great breadth of knowledge that allowed me to closely target my users
and not waste their time when I finally put a prototype in front of them.
As people with a great deal to think about besides their mobile phones, the paramedics and EMTs I talked
to didn’t have much to say on the finer points of mobile apps for emergency medicine. Shifting the conver-
sation to problems with their current communications technology and procedures got the ball rolling, how-
ever, and it soon became apparent that despite their initial attitudes, most paramedics (and the world at
large, probably) are receptive to new technology if it makes their lives easier.
Additionally I rediscovered that, while I stressed to them that the application was strictly hypothetical, in-
volving the users in the design process made them stakeholders invested in the development process.
After a single brainstorming session the members of one CPM company wanted to know when the app
would be on the market, and made themselves available for further feedback over email.