Health InformaticsCity University London
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- Islington (Inghilterra)
Cosa impari in questo corso?
Object oriented training
Skills and Training
You will study six core modules and two elective modules. All modules are delivered through a combination of lectures, online activities and interactive workshops and tutorials. These include sessions delivered by guest lecturers from industry. Students also undertake an independent research project.Course Structure Taught Core Modules
- Demonstrate a systemic knowledge and understanding of the major practical issues associated with the capture and exchange of clinical data in medicine
- Demonstrate a comprehensive understanding of the available techniques and technologies in relation to electronic patients' records
- Critically appreciate and evaluate the role standard, coding and terminologies in electronic patients' record
- Utilise a broad range of standards and techniques covered in the module and apply them to the specific clinical patients' record systems.
Data Analysis with Healthcare
- Interpret the results of a statistical hypothesis test
- Summarise and tabulate healthcare data and display it graphically self-evaluate their understanding of each topic in relation to that of rest of class
- Undertake analysis of any data and solve basic problems independently use a standard statistical package with increased understanding of the output use appropriate statistical and related methods in the analysis of healthcare data
Information for Decisions in Healthcare
- Demonstrate in a systematic and systemic manner the role of information and informatics in supporting healthcare delivery
- Demonstrate a comprehensive knowledge of the role of information in relation to the decision making process in healthcare
- Understand critically the role of formal methods to support the decision making process and the relative merits of alternative models
- Understand, critically, the role of formal methods to support evaluation and decision making in complex settings use formal models to support the processes of clinical decision making
- Demonstrate an approach to the use of models to support the decision making process which is informed, professional, considered and ethically sound
Knowledge Management in Healthcare
- Understand and fully appreciate the importance of knowledge representation
- Critically examine the success and failure of health related applications
- Demonstrate the ability to apply suitable tools from the module to appropriate health related problems
- Demonstrate the ability to examine a health related problem and formulate a solution using the modern knowledge management tools presented in the module
- Demonstrate an approach to the use of modern knowledge management tools that is informed, professional, considered and ethically sound
Research, Methods and Professional Issues
- Acquire and develop skills for planning and carrying out independent, original research (which you will later apply when completing your Masters dissertation)
- Be able to use appropriate quantitative and qualitative techniques for data collection and analysis
- Learn how to find, interpret, and use existing academic research as a basis for your research activity
- Explore the legal, ethical and professional implications of applied work in the information and computer sciences and use this knowledge in your research.
- Demonstrate a detailed understanding of the conceptual basis of telemedicine and its role in decision making, improving delivery of patient care and in education, in medicine and healthcare
- Understand the role of Telemedicine in: - distributed care - the support services (laboratory medicine and imaging services)
- Demonstrate a comprehensive understanding of the technical issues and parameters relating to Telemedicine
- Demonstrate a practical knowledge of the functioning of a variety of e-health and wireless technology, based around Telemedicine systems
- Demonstrate the importance of telecommunication and imaging standards in Telemedicine
Choose from 2 options from the following:
- Identify the key issues relating to the management of relational database systems and object-oriented database systems
- Model the logical structure of database systems using different data models
- Analyse data and document structures using different models
- Create and query relational databases using SQL
- Evaluate the new developments in data and document handling systems and understand their practical applications and implications.
- Web analytics
- Search, metadata and users' information-seeking behaviour
- Website organization and navigation schemes
- Key design documents in the IA process
- Knowledge of content management and e-commerce systems
- Introduction to system specification
- Introduction to databases.
- Demonstrate understanding of the key issues relating to IT project management, including estimating, scheduling, resourcing, monitoring and controlling progress, quality control and risk management
- Discuss the wider context of change management and the organizational framework.
Programming with Java
- Create object oriented models of some aspect of the real world with a spatial context
- Break down a problem into logical steps (an algorithm)
- Interpret an existing Java program of moderate complexity by identifying its structure, state and behaviour
- Convert algorithms and object-oriented models into clear, well documented Java; develop and share Java code as part of a team.
- Demonstrate detailed understanding of the importance of usability and the consequences of poor usability for interactive systems
- Identify the theoretical foundations in cognitive psychology for human-computer interaction
- Critically evaluate a user-centred design process for interactive systems, including analysis, design and evaluation activities
- Understand and interpret HCI principles and guidelines, applying them to a variety of situations.
Read the full programme specification
Teaching and Assessment
The course is assessed by a mixture of coursework and examination, plus a project dissertation. Students successfully completing eight modules and the dissertation will be awarded a Master of Science (MSc) degree. All modules on this course are supported by the University's innovative online environment.
The course is available full time (12 months) and part time (up to 28 months; daytime study).
Students successfully completing eight modules and the dissertation will be awarded 180 credits and a masters level...