MyEyes

The MyEyes questionnaire, developed by research teams at the UCL Institute of Child Health and Great Ormond Street Hospital for Children NHS Foundation Trust, is a validated test used to measure patient reported outcome measures relating to eye health. It is paper based and completed by patients at clinic visits.
The MyEyes app provides a digitalised version of the questionnaire for patients to complete in between clinic visits. To make it more user friendly for visually impaired users, the questions and answers are read out loud and haptic feedback is provided when selecting an answer. The app also provides clinical teams with data analytics.

UCL Computer Science MSc Project 2020
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Uveitis Patient Passport

The care of children with uveitis, a chronic condition that causes inflammation of the middle layer of the eye, is multi-centre and multi-disciplinary. The geographical distance between a child’s primary and specialist care provider often poses a barrier to informing teams at local hospitals when a child presents with problems associated with their disease or treatment.
The Uveitis Passport allows users to record important information about their condition, such as test results and interventions received, and to log medical issues and sleep data. It includes information on medications, therapies and treatment administration.

UCL Computer Science MSc Project 2020

Hear Me Out

Transitioning from paediatric into adult services can be challenging for young patients. To support their transition, GOSH launched the programme ‘Growing up, Gaining Independence’. 
The Hear Me Out app is an initiative from the Audiology Team at GOSH to support the programme and prepare transitioning patients. 
It includes useful information, a glossary of medical terms and features to allow users to log appointments and symptoms. An accompanying content management system was developed to support the delivery of relevant content through the app.

UCL Computer Science MSc Project 2020
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CranioQ

Craniofacial abnormalities can be difficult to diagnose in early infancy by GPs due to the rarity of their occurrence. To support early identification, a web-based screening tool was developed as a proof of concept.
This tool relies on the co-operation of parents, GPs and special craniofacial teams. Both GPs and parents complete a questionnaire with medical information about the child. Both questionnaires are then reviewed by a specialist team that can then request further investigation of cases where a craniofacial condition is suspected.

UCL Computer Science MSc Project 2020

PICU Parent App

Paediatric Intensive Care Units (PICUs) can be very stressful environments for families of sick children. These units tend to have more restrictions than other wards on activities such as visiting. Currently, information is available to families in paper format and displayed around the unity. 
To provide families with easier access to this information, an app was developed. This app covers a broad range of information, such as visiting hours, staff groups that work at PICU, common equipment and a FAQ section that allows parents to submit their feedback on the app. A web based content management system supports the updating and editing of the content.

UCL Computer Science MSc Project 2020
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Computer Vision for Object Detection in Healthcare

Instruments left inside a patient at the end of an operation is a rare but preventable surgical error. The standard practice to deal with it is to manually count all instruments and sponges at the start and conclusion of a surgical procedure. Unfortunately, manual counting is not a fool-proof method and is subject to human error.
To increase the accuracy of counting, the project trained a computer vision model to identify surgical instruments. The developed system counts the instruments it detects in the operation tray, displays their names and records instruments removed from the tray as being in-use. 

UCL Computer Science BSc Project 2019
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Innovation Feed

The sharing of ideas in busy multi-disciplinary organisations, such as hospitals, can be difficult, and hamper cross-disciplinary collaborations. 
To improve idea sharing across GOSH, a proof of concept idea sharing platform was developed. The platform allows ideas to be posted, commented and voted for. Ideas are categorised by department and/or innovation type. The platform allows management teams to see what types of innovations are mostly valued by staff.

UCL Computer Science MSc Project 2020

Library for building SMART on FHIR applications

Many hospitals and healthcare providers lack the ability to exchange electronic patient records. Although FHIR, makes it easier to connect disparate systems, the development community still lacks the knowledge to use it to build browser applications. 
To increase developers’ familiarity with the FHIR standard, a catalogue of JavaScript code snippets that can be used to build SMART on FHIR applications was created. It provides a collation of common features found in clinical/patient apps, such as patient search, medications and observations.

UCL Computer Science BSc Project 2019

Accessibility Technology for the Sight and Sound Hospital

Finding your way around hospitals can be challenging, even with the signage and maps provided. The visually impaired, who often rely on their senses to navigate unfamiliar environments, must orient themselves amidst moving people, background noise, announcements, etc… 
To facilitate indoor navigation for patients with sensory loss, a mobile app was developed that allows users to select a destination using voice commands, and receive turn by turn directions and haptic feedback from NTT DATA Buru-Navi technology for navigation. 

UCL Computer Science BSc Project 2019

HoloRepository: A Repository of Holographic Medical Images

Medical images, such as MRI or CT images, are stacks of 2D images used for analysis and diagnostics. These images are difficult to interpret for non-trained eyes, which could lead to a diminished understanding by patients of their condition and treatment options.
The Holorepository provides an interactive and engaging way to view medical images in 3D. It implements a pipeline to create holographic images from MRI and CT scans. These holograms can then be viewed using devices, such as Microsoft HoloLens, during patient-doctor consultations.

UCL Computer Science MSc Project 2019

My Nephrotic Notebook Mobile App

Parents of children with nephrotic syndrome,or the children themselves use a paper notebook to record daily the level of protein in their urine. These notes are meant to guide patients/parents on medication dosage and inform the clinical team of the patient’s progress, but they are difficult to interpret and often get lost, or damaged. The My Nephrotic Notebook mobile app allows users to easily record proteinuria dipstick readings, and based on these results, it informs users whether they have relapsed, are in maintenance, or have reached a period of remission. The data is stored locally and it can be shared with clinical teams via e-mail.

UCL Computer Science MSc Project 2019

Rare Disease Resources

During medical training exposure to patients presenting with rare diseases may be uncommon. The Rare Diseases Resources facilitates the development of a database of rare diseases. It allows medical professionals to upload anonymised medical cases for educational purposes. Trainees are able to view and comment on these cases, thus improving their knowledge and training experience, better preparing them to identify and recognise rare diseases in their future careers.

UCL Computer Science MSc Project 2019

Digital Informed Consent Mobile App

Clinical trials and research studies are vital for treatment innovations. In order to give informed consent, participants are provided with information sheets that describe the study in detail. The current system is paper based and documents must be retained and archived.
The Digital Informed Consent app digitalises this process. It allows for information sheets to be sent via e-mail to potential participants, and for signatures to be taken digitally. All of the digitally completed forms are stored in a database for easy access.

UCL Computer Science MSc Project 2019