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Ph.D. Students:

• Maria Cristina Martin

PhD in Healthcare Analytics

Project title: ‘Data Linkage & Analytics in ‘Closer to Home’: community initiatives to prevent frail, elderly hospital admissions in NHS Forth Valley‘

Supervisory team: Dr Matt-Mouley Bouamrane (1st, Computer and Information Science), Dr Kim Kavanagh (2nd, Mathematics and Statistics), Dr Paul Woolman (External, Information Services Manager, NHS Forth Valley).

Project aims: The Closer to Home initiative, aimed at preventing hospital admissions for frail and elderly people, covers a wide range of services for which multiple data sources exist. This project aims to gain insights into its impact and develop new techniques that link the various data sources routinely. Further to this the project aims to evaluate the effectiveness and sustainability of the programme as a whole.

Methodology: Data linkage techniques will be used to bring together the various data sources related to the program. Qualitative and quantitative methods – to be defined – will be used for evaluation. These methods will include cost-benefit analysis.

Funding: University of Strathclyde / Capita Strategic Technology Partnership (October 2016-September 2019).

• Charalampos Kyfonidis

PhD in Healthcare Analytics

Project Title: Tangible Educational Toys for Children with Type-1 Diabetes

Supervisory Team: Dr Marilyn Lennon (1st, Computer and Information Science), Dr Ian Ruthven (2nd, Computer and Information Science), Dr Alison Kirk (3rd, Physical Activity for Health).

Project aims: The lack of formal education for diabetes, their difficulty to access diabetes related information and the complexity of diabetes management leave children aged 3 to 8 with type-1 diabetes in a state of passiveness in their condition’s management. This project aims to create age-appropriate educational tools, which will educate children with type-1 diabetes about their condition and potentially empower to acquire a more active approach in their condition’s management.

Methodology: A user-centred design methodology which incorporates in depth analysis of the local diabetes context with qualitative methods (interviews, contextual inquiry and focus groups), co-design sessions, rapid prototyping and evaluations. The toys are interactive through tangible interaction and state-of-the-art technologies.

Funding: University of Strathclyde & SICSA.

M.Phil. Students:

• Michael Saiger

M.Phil in Digital Health / Human-Computer Interaction

Project title: ‘Investigating the Application of Video Game Design Principles to Monitor Detailed Cognitive Changes in Individuals with Dementia’

Supervisory team: Dr Marilyn Lennon (1st, Computer and Information Science),  Dr Martin Halvey (2nd, Computer and Information Science)

Project aims: 

• Explore the application of game design principles in order to relate to cognitive processing
• Understanding the relationship between cognition and game design by applying cognitive processes to a widely used game design framework
• Evaluating prototypes results and feedback from user testing. A comparison to a clinical cognitive test to discover any correlation in mapping impairment or improvement
• Investigation of creating an engaging experience on a video game platform for people with Dementia that contributes to quality of life, a target for mental health care (Alzheimer’s Association, 2010)

Methodology: HCI & Software Development.

Funding: Self-funded.

• Chika Ugwuanyi 

M.Phil in Healthcare Analytics

Project title: ‘Picture of Health: Creating Interactive Methods for Exploring Health and Lifestyle Data’

Supervisory team: Dr Marilyn Lennon (1st, Computer and Information Science), Richard Bellingham (2nd,  Institute for Future Cities at University of Strathclyde) and Andrew Duncan (External, SwarmOnline).

Project aims: My research interest is in the area of Digital Health, particularly using business intelligent tools to analyse data collected from people’s homes, develop an interactive tool that will help people to make better informed decisions, thereby improving their health and well-being.

Methodology: Data analytics & System development.

Funding: Digital Health & Care Institute SFC Highly Skilled Workforce scholarship.

 

• Linda Lapp

M.Phil in Healthcare Analytics

Project title: ‘An Analysis of Surgical Patient Risk Stratification at Golden Jubilee National Hospital’

Supervisory team: Dr Matt-Mouley Bouamrane (1st, Computer and Information Science), Dr Kim Kavanagh (2nd, Mathematics and Statistics), Prof. Stefan Schraag (External, Golden Jubilee National Hospital)

Project aims: Assessing the performance EuroSCORE and APACHE II scores applied to surgical patients who undergo Coronary Artery Bypass Graft (CABG) surgery or Aortic Valve Replacement (AVR) surgery at the Golden Jubilee National Hospital.

Methodology: Data Linkage & Statistical methods.

Funding: Digital Health & Care Institute SFC Highly Skilled Workforce scholarship.

• Ryan Gibson

M.Phil in Digital Health / Human-Computer Interaction

Project title: ‘Digital Communication Aids to Support Adults with Mild Learning Disabilities during Medical Consultations’

Supervisory team: Dr Mark Dunlop (1st, Computer and Information Science), Dr Matt-Mouley Bouamrane (2nd, Computer and Information Science)

Project aims: People with learning disabilities generally find it difficult to describe their symptoms to a GP effectively, resulting in potential problems being left undiagnosed or even misdiagnosis occurring.  This project aims to identify a set of design requirements for digital communication aids for adults with mild learning disabilities during the consultation process.  A digital communication aid prototype will then be developed using these design requirements and subsequently tested to reveal their effectiveness.

Methodology: Thematic analysis of existing literature; Semi-structured interviews to determine user requirements; Framework analysis of these interviews; Action research / Prototyping when developing the application.

Funding: Digital Health & Care Institute SFC Highly Skilled Workforce scholarship

• Diane Cochrane

M.Phil in Digital Health

Project title: ‘Understanding barriers and motivators for adolescents using digital technology to manage type 1 diabetes’

Supervisory team: Dr Marilyn Lennon (1st, Computer and Information Science),  Dr Alison Kirk (2nd,  Physical Activity for Health at University of Strathclyde)

Project aims: To explore and understand the needs of adolescents in the management of such a complex medical condition, with a view to using technology as a support mechanism. To investigate if technology would help with self care and management, thus preventing longer term challenges for the patient and the healthcare system.

Methodology: Interviews and and focus groups. I intend to involve parent support groups in helping to co-design the research from their gathered expertise in the management of caring for their child with type 1 diabetes. It is my overall aim to use data from these interactions to develop a framework for the use of technology and the role it could play in helping this population to manage a long-term medical condition.

Funding: Digital Health & Care Institute SFC Highly Skilled Workforce scholarship

• Eftychia Dania

M.Phil in Digital Health / Health Technology Assessment

Project title: ‘Cost-Benefit Analysis of the Technology Enabled care Programme in Scotland’

Supervisory team: Dr Marilyn Lennon (1st, Computer and Information Science),  Dr Matt-Mouley Bouamrane (2nd, Computer and Information Science)

Project aims: To conduct a cost-benefit analysis of Scotland’s technology-Enabled care Programme

Methodology: Mixed-Methods, qualitative & quantitative analysis.

Funding: Digital Health & Care Institute SFC Highly Skilled Workforce scholarship

• Rameez Mahmood

M.Phil in Digital Health

Project title: ‘Use of Personal Feed-back for Mental Health Digital Mood-Tracking’

Supervisory team: Dr Diane Pennington (1st, Computer and Information Science),  Dr Matt-Mouley Bouamrane (2nd, Computer and Information Science)

Project aims:  Identifying and specifying set of design requirements for digital mood-tracking for Young Adults. Developing and Testing a digital mood-tracking track using explicit & implicit user feed-back.

Methodology: HCI & Software Development.

Funding: Digital Health & Care Institute SFC Highly Skilled Workforce scholarship