Abdul Roudsari

Abdul Roudsari
Position
Professor
Health Information Science
Contact
250-721-8578
Credentials

BSc (London), MSc (London), PhD (London)

Area of expertise

Modelling and Simulation in healthcare; modelling methodology for health resource management; clinical decision support, machine learning and artificial intelligence – development and evaluation of decision support systems; evaluation methodologies with particular application in telemedicine. More recently my interests have developed into : Telemedicine technology, temporal representation and reasoning; utilisation of business intelligence in healthcare; shared decision-making, personalised health records and environmental sensing for health. Application area Chronic diseases.

Dr. Abdul Roudsari joined the School of Health Information Science as Director effective January 1, 2010. He received his BSc, MSc, and PhD. from London University with his PhD research being undertaken at Kings College London. Before joining the University of Victoria he taught at a number of higher education institutions in the United Kingdom. He was Professor of Health Informatics and Director of the Centre for Health Informatics (CHI) at City University London. He has been a member of the Centre since 1989, having had a particular involvement in a range of research projects concerned with the provision of decision support systems to diabetic patients. He has led a major innovative EU-funded home telecare project. This project has enabled the Centre’s already large number of international collaborations to be extended to groups in Portugal and Estonia. The research area of home telecare is one that offers opportunities for further substantial projects involving both specific application implementation studies as well as opportunities for research into evaluation methodologies.

*Currently available to supervise MSc, MN/MSc and PhD students

Current research on

  • Electronic healthcare (eHealth): this has widely acknowledged potential to improve integration, quality, outcomes and costs in developed countries. Connecting for Health (CfH), in England, is the largest example of its kind in the world and is already at an advanced stage of development. However, there is relatively little work currently being undertaken to develop the potential of eHealth in developing countries. His research focus in this context would be based on existing research by his PhD students in the Gambia, Saudi Arabia, Iran and Mexico.
  • Telecare and e-health: management of elderly and chronically-ill patients in their home environment using advanced healthcare technologies for home monitoring.
  • Advanced and intelligent methods for the acquisition, processing and interpretation of data from the Electronic Patient Record and from the patient in the community for the purposes of developing Intelligent & Evidence-based Decision Support Systems for diagnosis, state prediction, management and prognosis.
  • B Zuberbühler, D Gartry, A Roudsari. LASIK nomogram modifications for the treatment of myopic astigmatism. Der Ophthalmologe . Springer Verlag; DOI:10.1007/s00347-012-2590-3, 2012.
  • A Roudsari, J Kay, S Henni, K Goddard, P Gooch, O Shabestari, J Moran and K Golchin.  Electronic BloodTracking: improving blood management and patient safety.  Health Service Journal, special issues entitled: 'Looking back, moving forward - Capturing lessons and building the evidence base for health informatics'March 2012. http://www.birmingham.ac.uk/Documents/college-mds/haps/projects/cfhep/news/HSJ.pdf
  • P Gooch, A Roudsari. Computerization of workflows, co-reference resolution in clinical notes: a unified lexical approach. Journal of Biomedical Informatics, 2012; (accepted for publication - in press).
  • K Goddard, A Roudsari, JC Wyatt. Automation Bias: a systematic review of frequency, effect mediators, and mitigators. Journal of the Americal Medical Informatics Association, 2011;(in press) JAMIA doi:10.1136/amiajnl-2011-000089
  • P Gooch, A Roudsari. Computerization of workflows, guidelines and care pathways: a review of implementation challenges for process-oriented health information systems. Journal of the American Medical Informatics Association, 2011; 18:738-748.
  • P Gooch, A Roudsari. Automated Recognition and Post-coordination of Complex Clinical Terms. Stud Health Technol Inform. 2011;164:8-12.
  • P Gooch, A Roudsari. A tool for enhancing MetaMap performance when annotating clinical guideline documents with UMLS concepts. IDAMAP Workshop at 13th Conference on Artificial Intelligence in Medicine (AIME'11)
  • K Goddard, A Roudsari, JC Wyatt. Decision Support and Automation Bias - Methodology and Preliminary Results of a Systematic Review. Stud Health Technol Inform. 2011;164.
  • K Goddard , A Roudsari, JC Wyatt. Automation Bias - A Hidden Issue for Clinical decision Support System use. Stud Health Technol Inform. 2011.
  • HR Naghavi, O Shabestari, A Roudsari, J Harrison. Design and validation of a questionnaire for measuring the attitude of hospital staff concerning pandemic influenza. Journal of Infection and Public Health. 2012; (in press)
  • O Shabestari, P Gooch, K Goddard, K Golchin, J Kay & A Roudsari. Evaluation of alert-based monitoring in a computerised blood transfusion management system. Stud Health Technol Inform. 2011;164:361-6.
  • K Golchin, P Gooch, O Shabestari & A Roudsari. Usability evaluation of a pilot implementation of the Electronic Clinical Transfusion Management System IT specification for blood tracking. Stud Health Technol Inform. 2011;164:219-24.
  • O Shabestari, A Roudsari. A requirement engineering approach for improving the quality of the diabetes education websites. Stud Health Technol Inform. 2011;164:261-6.
  • K Goddard, O Shabestari, JD Kay & A Roudsari. Formatively evaluating the importance of different aspects of an electronic blood transfusion system from the end users' point of view: a questionnaire study. Stud Health Technol Inform. 2010;160 (Pt 2):1211-5
  • O Shabestari, A Roudsari. Potential Return on Investment (RoI) on web-based diabetes education in UK. Stud Health Technol Inform. 2009;143: 258-263.
  • O Shabestari, A Roudsari. Potentials of Web 2.0 for diabetes education of adolescent patients. Proceeding of eHealth 2008: Electronic healthcare for the 21st century. 2008; 205-208.
  • K Goddard, O Shabestari, J Adriano, J Kay, A Roudsari. NHS Blood Tracking Pilot: City University Evaluation Project. Proceeding of eHealth 2008: Electronic healthcare for the 21st century. 2008; 179-182.
  • D Williams, S Grimm, E Coto, AV Roudsari and H Hatzakis. Voumetric Curved Planar Reformation for Virtual Endoscopy. IEEE TRANSACTION on Visulation and computer graphics, 2008, Vol. 14,No. 1,.
  • MN Kamel Boulos, FE Harvey , AV Roudsari, R Bellazzi, ME Hernando, T Deutsch T, DG Cramp , ER Carson . M2DM, decision support, and improving clinical outcomes by education: a proposed semantic framework for diabetes education content management, customisation, delivery and evaluation. Computer Methods and Programs in Biomedicine 2006; 83; 188-197
  • AV Roudsari, HJ Leicester, ER Carson. The developing science and technology of home data collection illustrated with insulin dependent diabetes mellitus. Measurement and Control 2004; 37(5): 141-145
  • A Roudsari, Nengquan Zhao, ER Carson. A web-based diabetes management system
  • Transactions of the Institute of Measurement and Control 2004; 26: 201-222.
  • AV Roudsari (ed). Telemedicine and E-health. Measurement and Control 2004; 37(5): 140-153
  • E-J Berridge, AV Roudsari. diabCAL: evaluating computer-aided learning for diabetes patient education. ASLIB Proceedings 2003: 55(5/6): 367-378
  • MN Kamel Boulos, AV Roudsari, ER Carson. A simple method for serving Web hypermaps with dynamic database drill-down. International Journal of Health Geographics, 2002; 1; 1
  • C Danas, PH Ketikidis, AV Roudsari. A virtual hospital pharmacy inventory. International Journal of Medical Marketing 2002; 2(2): 125-129
  • MN Kamel Boulos, AV Roudsari, ER Carson. A dynamic problem to knowledge linking semantic web service based on clinical codes. Medical Informatics & The Internet in Medicine, 2002; 27(3):127-137
  • MN Kamel Boulos, AV Roudsari, ER Carson. HealthCyberMap: a semantic visual
  • Browser of medical internet resources based on clinical codes and the human body metaphor. Health Information and Libraries Journal, 2002; 19(4): 189-200
  • MN Kamel Boulos, AV Roudsari, ER Carson. Towards a semantic medical web
  • HeathCyber Map’s tool for building an RDF metadata base of health information resources based on the Qualified Dublin Core Metadata Set. Medical Science Monitor, 2002; 8(7): MT124-MT136
  • MN Kamel Boulos, AV Roudsari, C Gordon, JA Muir Gray. The use of quality benchmarking in assessing web resources for the dermatology virtual branch library of the National electronic Library for Health: a preparatory study. Journal of Medical Internet Research 2001; 3(1): e5 [http://www.jmir.org/2001/1/e5]
  • M Kamel Boulos, AV Roudsari, ER Carson. Health geomatics: an enabling suite of technologies in health and healthcare. Journal of Biomedical Informatics 2001; 34: 195-219. [http://www.idealibrary.com/links/doi/10.1006/jbin.2001.1015]
  • E-J Berridge, AV Roudsari, S Taylor, S Carey. Computer-aided learning for the education of patients and family practice professionals in the personal care of diabetes. Computer Methods and Programs in Biomedicine 2000; 62:191-204
  • MN Kamel Boulos, AV Roudsari, C Gordon, JA Muir Gray. Metadata, RDF and problem-knowledge coupling for the NeLH: a preparatory study. Journal of Medical Internet Research 2000; 2(4)
  • The Health Informatics programme is the UK brand leader. Its academic standing is reflected in its ability to attract students from a wide range of technical, clinical and allied health professional backgrounds from around the globe. Moreover, it is the first to have secured professional recognition at strategic level from the NHS Information Authority (now NPfIT - National Programme for IT). This recognises the fact that his programme design matches a key government need in terms of health service delivery.
  • The Healthcare Technologies programme in a similar way has been designed to meet the needs of professionals, including those having key responsibilities within NPfIT Connecting for Health to ensure that they can acquire the knowledge and skills needed in the increasingly ICT-underpinned NHS.
  • As an elected Member, NHS Connecting for Health Faculty of Health Informatics Management Board (Feb 2006) nurturing close and effective relationships with key members of the NHS Information Centre and Connecting for Health, he has been able to gain professional recognition for the City Health Informatics programme as well as securing funding for other health informatics initiatives.
  • As a Council Member of the UK Council for Health Informatics Professions (UKCHIP) he is a member of the team which is influencing and guiding the evolution of health informatics as a key profession within the health service.
  • As Vice Chair of the UK Health Informatics Society he plays a leading role in developing academic and professional initiatives for the benefit of the health informatics community in the UK and further a field.