Resume

• 1982

  PhD

  Mathematics

  King's College London

  U. of London

• eHealth

  Clinical Research

  Data Analysis

  Science

  Research

  E-Learning

  Qualitative Research

  Higher Education

  Management

  Healthcare Information Technology

  Informatics

  Statistics

  Health

  Program Evaluation

  Artificial Intelligence

  Lecturing

  Public Health

  Healthcare

  Teaching

  Change Management

  Electronic Blood Tracking: improving blood management and patient safety

  Juan Adriano Moran

  Omid Shabestari

  Sanaa Henni

  The Centre for Health Informatics at City University

  London was commissioned by NHS CFH to undertake a full independent

  multi- method evaluation of the Croydon University Hospital pilot to ensure that the process is recorded

  user views are accounted for

  and recommendations about the implementation and effectiveness are useful to share with other NHS Trusts looking to use the IT specification. The evaluation was collaborative with the Croydon University Hospital and CFH

  and incorporated formative

  summative and comparative elements using both qualitative and quantitative methodologies.\nThe findings of the quantitative analysis of system usage

  user expectations

  satisfaction and perceived effectiveness have been triangulated against the results of the qualitative stakeholder analysis and usability evaluations.

  Electronic Blood Tracking: improving blood management and patient safety

  Potentials of Web 2.0 for Diabetes Education of Adolescent Patients

  Generation of entity coreference chains provides a means to extract linked narrative events from clinical notes

  but despite being a well-researched topic in natural language processing

  general-purpose coreference tools perform poorly on clinical texts. This paper presents a knowledge-centric and pattern-based approach to resolving coreference across a wide variety of clinical records from two corpora (Ontology Development and Information Extraction (ODIE) and i2b2/VA)

  and describes a method for generating coreference chains using progressively pruned linked lists that reduces the search space and facilitates evaluation by a number of metrics. Independent evaluation results give an F-measure for each corpus of 79.2% and 87.5%

  respectively. A baseline of blind coreference of mentions of the same class gives F-measures of 65.3% and 51.9% respectively. For the ODIE corpus

  recall is significantly improved over the baseline (p < 0.05) but overall there was no statistically significant improvement in F-measure (p > 0.05). For the i2b2/VA corpus

  recall

  precision

  and F-measure are significantly improved over the baseline (p < 0.05). Overall

  our approach offers performance at least as good as human annotators and greatly increased performance over general-purpose tools. The system uses a number of open-source components that are available to download.

  Lexical patterns

  features and knowledge resources for coreference resolution in clinical notes

  There is a need to integrate the various theoretical frameworks and formalisms for modeling clinical guidelines

  workflows

  and pathways

  in order to move beyond providing support for individual clinical decisions and toward the provision of process-oriented

  patient-centered

  health information systems (HIS). In this review

  we analyze the challenges in developing process-oriented HIS that integrate these models.

  Computerization of workflows

  guidelines and care pathways: a review of implementation challenges for process-oriented health information systems

  Abdul

  Roudsari

  University of Victoria

  City University London

  and

  City University London

  Supervising PhD students

  Visiting Professor

  and

  London UK.

  Director of Centre for health Informatics

  2005-2010.

  Professor

  City University London

  Director of School of Health Information Science from January 2010 to December 2014.

  Professor

  Canada

  University of Victoria