Version 2

Use one form per project

Please complete & submit to international@nuigalway.ie
as soon as possible, and by 27/11/2012

In your email, begin the subject line with [SWB] (be sure to use square brackets) to ensure that your email is filed correctly. Emails will be automatically filed
PI name & contact details:
School:
Has project been agreed with head (or nominee) of proposed registration school?
Research Centre / group affiliation:
Research group / centre website:
Dr. Owen Molloy
Engineering and Informatics
Information Technology – Enterprise Computing http://www.it.nuigalway.ie/research.html
PI website / link to CV: http://www.it.nuigalway.ie/omolloy/
Brief summary of PI research / research group / centre activity (2 or 3 lines max):
If you are already involved in relevant scholarly activities relating to Brazil, please mention them here.
Dr. Molloy has been involved in European and Irish research since 1990 and has participated as co-ordinator and partner in a number of EC projects. He has been PI on several Enterprise Ireland funded projects. His research interests are focused on e-Business, Business Process Monitoring and Management and Business
Intelligence.
Title & brief description of PhD project (suitable for publication on web):
Collaborative Care Pathway Modelling and Management
The clinical data and systems environment in most public health jurisdictions can be characterized as a collection of multiple, fragmented, stand‐alone applications and data sources. This fragmentation is a major impediment to the realization of integrated healthcare. Integrated care pathways provide a process view, based around patient journeys through a healthcare system. The introduction of care pathways delivers improved outcomes, efficiencies and more subjective benefits in terms of teamwork and patient satisfaction and confidence. Key to the successful implementation of process improvement initiatives are agreed process models and access to accurate performance data. Modelling tools are not currently available to support distributed teams to collaborate on pathway modelling.
This research will incorporate working with and extending existing modelling standards (e.g. BPMN, EHR) and leveraging online collaboration technology such as Apache Wave to develop techniques and tools to support collaborative modelling of care pathways by distributed multidisciplinary teams. We will extend current process modelling languages and tools to support domain specific modelling techniques for design, visualization and performance measurement of healthcare processes. This will also include semantically rich models of the roles, activities and information present in the process, as well as modelling of metrics, goals

Version 2
(e.g. performance targets, service level agreements) and constraints.
Unique selling points of PhD project in NUI Galway:
The Information Technology discipline in NUI Galway is a highly multi-disciplinary environment, where a number of groups (e.g. Medical Informatics, Machine Learning) are highly active in collaborative projects with partners across the university and through international collaborations. Information Technology is the
University’s centre of excellence in Information Technology, and is a member of the College of Engineering &
Informatics. We offer a structured PhD programme, strong links with local and national industry in multiple sectors, and access to a dedicated high-quality high performance computing and networking environment.
Name & contact details for project queries, if different from PI named above:
Please indicate the graduates of which disciplines that should apply:
Computing, Information Technology, Engineering, Mathematics,
Ciência sem Fronteiras / Science Without Borders Priority Area:
Please indicate the specific programme priority area under which the proposed PhD project fits- choose only one (tick box):
Engineering and other technological areas
Pure and Natural Sciences (e.g. mathematics, physics, chemistry)/Physical Sciences (Mathematics,
Physics, Chemistry, Biology and Geosciences)
Health and Biomedical Sciences / Clinical, Pré-clinical and Health Sciences
Information and Communication Technologies (ICTs), Computing
Aerospace
Pharmaceuticals
Sustainable Agricultural Production
Oil, Gas and Coal
Renewable Energy
Minerals, Minerals Technology
Biotechnology
Nanotechnology and New Materials
Technologies for Prevention and Mitigation of Natural Disasters
Bioprospecting and Biodiversity
Marine Sciences

Creative Industry
New technologies in constructive engineering
Please indicate which of the following applies to this project (referring to Science Without Borders arrangements):
Suitable only as a Full PhD (Y/N): Y
Available to candidates seeking a Sandwich PhD arrangement (Y/N): Y