APPLICATION OF DECISION MAKING - 2018/9
Module code: HCRM034
This module will explore the role of decision making within the healthcare system. It will support student’s exploration of their understanding and knowledge of the theory underpinning decision making, judgement and human factors within healthcare, and the potential consequences when this goes wrong.
School of Health Sciences
DAVIES A Mrs (Health Sci.)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
JACs code: B702
Module cap (Maximum number of students): N/A
Prerequisites / Co-requisites
Indicative content includes:
• Decision making theory,
• Pattern recognition,
• Information processing,
• Intrinsic and extrinsic factors,
• Policy development,
• Risk assessment and management,
• Legal and ethical issues,
• Human and system factors.
|Assessment type||Unit of assessment||Weighting|
|Coursework||In depth critical analysis of a decision identifying the key theories of decision making, judgement and the associated h||100|
The assessment strategy is designed to provide students with the opportunity to demonstrate
Thus, the summative assessment for this module consists of:
In depth critical analysis of a decision identifying the key theories of decision making, judgement and the associated human factors (3,000 words) (100% of the module marks)
• A plan identifying the problem and the key aspects relating to the proposed solution.
Students will receive feedback through a variety of methods, these include:
• Verbal – during seminar sessions, or tutorials
• Written – formative feedback on chart
• Email – where requested by student
E discussion forum’s via Surreylearn
Please note that any evidence of unsafe practice or breach of confidentiality will result in an automatic refer for the module.
- • Enhance the health professional's understanding and knowledge of decision making, judgement and human factors management within healthcare.
|001||Demonstrate an in-depth understanding of the theories underpinning their decision making, judgements, reasoning skills and problem solving methodologies and their application to practice.||CT|
|002||Critically evaluate the impact of human factors in decision making and its impact on their accountability for management decisions||CKPT|
|003||Critically evaluate the evidence supporting professional practice and making informed decisions||CT|
|004||Analyse the importance of shared decision making within different healthcare settings||CKPT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Overall student workload
Independent Study Hours: 114
Lecture Hours: 36
Methods of Teaching / Learning
The learning and teaching strategy is designed to reflect the programme and School's learning and teaching strategy to create dynamic, effective and caring health professionals. It will facilitate this through the use of blended learning and increasingly e-learning. The aim is that this module will be offered in 2 formats, either as a blended learning module or as a full e-learning experience, to meet the individual learning needs of students.
The learning and teaching methods include:
• Lectures (including e-leactures)
• guided study
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Reading list for APPLICATION OF DECISION MAKING : http://aspire.surrey.ac.uk/modules/hcrm034
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2018/9 academic year.