Health Information Science

1. Front Matter

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2. Modeling and Validating the Clinical Information Systems Policy Using Alloy

   • Ramzi A. Haraty, Mirna Naous

   Pages 1-17

3. Applying a BP Neural Network Model to Predict the Length of Hospital Stay

   • Jing-Song Li, Yu Tian, Yan-Feng Liu, Ting Shu, Ming-Hui Liang

   Pages 18-29

4. Emergency Mobile Access to Personal Health Records Stored on an Untrusted Cloud

   • Feras Aljumah, Raymond Hei Man Leung, Makan Pourzandi, Mourad Debbabi

   Pages 30-41

5. Generating Evidence-Based Pathway Models for Different Hospital Information Systems

   • Katja Heiden, Britta Böckmann

   Pages 42-52

6. Semantic Web and Ontology Engineering for the Colorectal Cancer Follow-Up Clinical Practice Guidelines

   • Hongtao Zhao, Kalpdrum Passi

   Pages 53-64

7. Neural Network Solution for Intelligent Service Level Agreement in E-Health

   • Nada Al Salami, Sarmad Al Aloussi

   Pages 65-77

8. Taking Compliance Patterns and Quality Management System (QMS) Framework Approach to Ensure Medical Billing Compliance

   • Syeda Uzma Gardazi, Arshad Ali Shahid

   Pages 78-92

9. Towards Personalized Medical Document Classification by Leveraging UMLS Semantic Network

   • Kleanthi Lakiotaki, Angelos Hliaoutakis, Serafim Koutsos, Euripides G. M. Petrakis

   Pages 93-104

10. Segmentation of Retinal Blood Vessels Using Gaussian Mixture Models and Expectation Maximisation

    • Djibril Kaba, Ana G. Salazar-Gonzalez, Yongmin Li, Xiaohui Liu, Ahmed Serag

    Pages 105-112

11. Modeling and Query Language for Hospitals

    • Janis Barzdins, Juris Barzdins, Edgars Rencis, Agris Sostaks

    Pages 113-124

12. Towards Dynamic Non-obtrusive Health Monitoring Based on SOA and Cloud

    • Mohamed Adel Serhani, Abdelghani Benharref, Elarbi Badidi

    Pages 125-136

13. Case-Centred Multidimensional Scaling for Classification Visualisation in Medical Diagnosis

    • Frank Klawonn, Werner Lechner, Lorenz Grigull

    Pages 137-148

14. Mobile Platform for Executing Medical Business Processes and Data Collecting

    • Jerzy Brzeziński, Anna Kobusińska, Jacek Kobusiński, Andrzej Stroiński, Konrad Szałkowski

    Pages 149-159

15. Prediction of Assistive Technology Adoption for People with Dementia

    • Shuai Zhang, Sally McClean, Chris Nugent, Sonja O’Neill, Mark Donnelly, Leo Galway et al.

    Pages 160-171

16. The Discharge Planning Dilemma in the UK NHS: The Role of Knowledge Management

    • Nitya Kamalanathan, Alan Eardley, Caroline Chibelushi, Paul Kingston

    Pages 172-185

17. Using Semantic-Based Association Rule Mining for Improving Clinical Text Retrieval

    • Atanaz Babashzadeh, Mariam Daoud, Jimmy Huang

    Pages 186-197

18. A Comparison of Mobile Patient Monitoring Systems

    • Gaurav Paliwal, Arvind W. Kiwelekar

    Pages 198-209

19. IT-Enabled Health Care Delivery: Replacing Clinicians with Technology

    • Deborah Fitzsimmons, Anthony Wensley, Ian Graham, Gail Mountain

    Pages 210-222

20. Instrument to Assess the Need of Disabled Persons for Rehabilitation Measures Based on the International Classification of Functioning, Disability and Health

    • Alexander Shoshmin, Natalia Lebedeva, Yanina Besstrashnova

    Pages 223-231

This book constitutes the refereed proceedings of the Second International Conference on Health Information Science, HIS 2013, held in London, UK, in March 2013. The 20 full papers presented together with 3 short papers, 3 demo papers and one poster in this volume were carefully reviewed and selected from numerous submissions. The papers cover all aspects of health information sciences and systems that support the health information management and health service delivery. The scope of the conference includes 1) medical/health/biomedicine information resources, such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyse, and optimize the use of information in the health domain, 2) data management, data mining, and knowledge discovery, all of which play a key role in the decision making, management of public health, examination of standards, privacy and security issues, and 3) development of new architectures and applications for health information systems.

• business process management
• cloud computing
• e-health
• machine learning
• semantic web

• Centre for Applied Informatics, Victoria University, Melbourne, Australia

  Guangyan Huang, Jing He

• School of Information System, Computing, and Mathematics, Brunel University, London, UK

  Xiaohui Liu

• Department of Computer Science, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany

  Frank Klawonn

• Health Economics, Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK

  Guiqing Yao

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