MSc/PGDip/PGCert Health Informatics (UCL/UoM Joint Award)

Please see information the UCL MSc Health Informatics page for details of course fees.

Fees quoted above are fully inclusive of tuition, administration and computational costs.

Always contact the admissions team if you are unsure which fee applies to your qualification award and method of attendance. Postgraduate fees information .

Additional costs include:

• the cost of travel to and from Manchester or London (depending on the module location and where you are based);
• accommodation costs.

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

This module is taught at UCL.

In health systems, evidence, healthcare and science have been sub-optimally aligned. Improvements in the availability of electronic data and tools for its analysis offer new opportunities to implement learning health systems. This module explores how learning health systems, driven by patient-centred data, can overcome the shortcomings of existing frameworks of evidence-based healthcare and healthcare quality.

Trainees will plan the evaluation of a digital intervention to improve the management of a long term condition using the principles of a Learning Health Systems.

The overall aim of the module is to explore the relationship between evidence, quality and learning health systems in healthcare.

Specific aims are:

•         To introduce and probe the concepts of evidence-based healthcare, quality improvement and learning health systems.

•         To consider the role of information and evidence in ensuring safe, high quality healthcare.

•         To foster the development of core skills of information retrieval and critical appraisal.

•         To understand the infrastructure, data flows, ethics and human factors underlying a learning health system

•         To critically evaluate an exemplar of a learning health system.

•         To explore the necessary steps in creating learning health systems

• Subject-Specific Knowledge

1.     • Review the merits and demerits of theoretical frameworks of quality.

•       Critique approaches to defining quality metrics in healthcare.

•       Explain the principles of evidence based healthcare and their contribution to patient care and service delivery.

•       Understand the concept of a learning health system

•       Demonstrate the ability to identify, extract, critically appraise and apply information to address a range of healthcare situations.

•       Suggest strategies for implementation of learning health systems.

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• Intellectual, Academic and Research Skills

1.     Be aware of relevant clinical/health informatics literature.

• Practical and Transferrable Skills

1.     Prepare written reports

2.     Measure data quality and how to address poor quality.

The module is delivered over nine weeks using Moodle as the Virtual Learning Environment. Students attend at UCL for an intensive block of three days of face to face teaching, usually in week four or five. Students on campus may attend two additional seminars, these are also live-streamed and recorded for other students. Formative and summative assignments are submitted via Moodle. 

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