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Analyse healthcare demand and supply data using appropriate tools and techniques, to make informed decisions.

ASSIGNMENT INSTRUCTIONS

Assessment Individual Coursework
Assessment code 011
Academic Year 2025/2026
Trimester 2
Level 7
Module Leader Ardavan Amini
Weighting 60%
Word Limit 3000 words
Assessed Learning Outcomes

Intellectual, practical, affective and transferable skills

  • Analyse healthcare demand and supply data using appropriate tools and techniques, to make informed decisions.

  • Apply the legal and ethical frameworks governing the collection, storage, and use of personal data in healthcare.
Assessment Deadline Please refer to the deadline on the VLE

WRITING YOUR ASSIGNMENT:

Module Title:

Data Analytics and Demand Management

Module Code:

MOD009383 This assignment must be completed individually. 

  • You must use the Harvard referencing system where references are applied.

  • Your work must indicate the number of words you have used.

  • Written assignments must not exceed more that 10% of the specified maximum number of words.  

  • Assignment submissions are to be made anonymously. Do not write your name anywhere on your work.

  • Write your student ID number at the bottom of every page and number all pages.

  • Where the assignment comprises more than one task, all tasks must be submitted in a single document.

SUBMITTING YOUR ASSIGNMENT:

  • In order to achieve full marks, you must submit your work before the deadline. Work that is submitted late – if your work is submitted on the same day as the deadline by midnight, your mark will receive a 10% penalty. If you submit your work up to five working days after the published submission deadline – it will be accepted and marked.  However, the element of the module’s assessment to which the work contributes will be capped with a maximum mark of 50%.

  • Work cannot be submitted if the period of 2 working days after the deadline has passed (unless there is an approved extension). Failure to submit within the relevant period will mean that you have failed the assessment.

  • Requests for short-term extensions will only be considered in the case of illness or other cause considered valid by the Director of Studies Team. Please contact DoS@london.aru.ac.uk.  A request must normally be received and agreed by the Director of Studies Team in writing at least 24 hours    prior     to         the       deadline.           See      rules     6.64-6.73: http://web.anglia.ac.uk/anet/academic/public/academic_regs.pdf

  • Exceptional Circumstances: The deadline for submission of mitigation in relation to this assignment is no later than five working days after the submission date of this work. Please contact the Director of  Studies Team -           DoS@london.aru.ac.uk.       See      rules     6.112    –          6.141: http://web.anglia.ac.uk/anet/academic/public/academic_regs.pdf

ASSIGNMENT  

Assessment Case Study:

It is becoming increasingly important for individuals working in Health and Social Care to understand and appreciate how data analytics can inform demand management.  Therefore, as part of this assessment you must demonstrate and apply the key concepts, tools, and techniques of data analytics and demand management, considering the legal and ethical aspects of using personal data in the context of the real industry case study below:

Public health sector is focused on improving the health of the population through measures like disease prevention, health promotion, and environmental health: https://www.local.gov.uk/topics/social-carehealth-and-integration/public-health 

Assignment Tasks:

As a research assistant based on the project above you are tasked to develop a report for the project consortium board and include:

  • Identify the types of data that needs to be collected and consider any legal and ethical frameworks governing the collection, storage, and use of personal data for this project (30 Marks)
  • Analysing the current data analytics concepts, techniques and tools that can be used by the project to enhance decision making and increase productivity for public health sector. Include the impact of data analytics on the demand management supply chain for the mind organisation (45 Marks)
  • Provide a summary of your findings and any further recommendation. (15 Marks) 
  • Formatting & References (10 Marks)

Note: You may use any business related models, theories, diagrams, and graphs to evidence and present your findings.  All your findings must be based on your research and knowledge gained through the module.

Reading Requirements:

As an independent consultant your research should therefore focus on finding factual information relevant to your tasks outlined above. The concepts, tools, techniques, and models identified must be based on academic literature and industry papers, this includes journals and conference papers, industry white papers and reports, government website or independent research institute such as McKenzie.

ASSESSMENT CRITERIA

This is research report to the project consortium board.  As part of your assessment, you must demonstrate the following assessed learning outcomes: 

  • Analyse mental health demand and supply data using appropriate concepts, tools and techniques, to make informed decisions.

  • Apply the legal and ethical frameworks governing the collection, storage, and use of personal data in healthcare. 

Your research report should include the following section outline in the assessment criteria table below: Table 1: Assessment criteria 

Section

Assessment criteria

Marks 

(1) Introduction

Define Key Concepts:

 

• Identify the types of data that needs to be collected and consider any legal and ethical frameworks governing the collection, storage, and use of personal data for this project  

 

 

 

 

30

 

 

(2) Analysis and

Critical Evaluation

Analyse and Critically Evaluate:

 

• Analysing the current data analytics concepts, techniques and tools that can be used by the project to enhance decision making and increase productivity for public health sector. Include the impact of data analytics on the demand management supply chain for the mind organisation

 

 

 

45

 

 

 

 

 

(3)

Recommendations

& Conclusion

Recommendation & Conclusion:

 

• Provide a summary of your findings and any further recommendation to the project board.

 

 

 

15

(3) Formatting and

Referencing

You should aim to meet the following expectations in terms of formatting and referencing:

▪  Correct and thorough use of Harvard referencing. This includes intext references and an alphabetised bibliography.

▪  Appropriate and consistent choice of visual elements, including correct selection of graphs and tables in relation to their explanatory purpose.

▪  Legible and consistent presentation of data in graphs and tables including clearly labelled and denominated axes.

▪  Organized and logical approach to structure, including table of contents, list of figures and tables, numbered pages, numbered sections and subsections, bibliography.

▪  Spelling, punctuation, and grammar (SPG): UK English consistent with good practice in business and management applications.

 

 

 

 

 

 

10

 

 

 

 

 

ANGLIA RUSKIN UNIVERSITY GENERIC ASSESSMENT CRITERIA AND MARKING STANDARDS 

LEVEL 7   

 

                                               Grading Rubric Cube 

  

Assessment

Criteria 

0-29 

Inadequate   

30 – 39 

Limited   

40-49  Basic   

50-59 

Satisfactory   

60-69 

Good 

70-79 

Excellent   

80-100 

Outstandi

ng 

Introduction

30%) 

No evidence of Research / background,   provided on key concepts, tools and techniques used for data analytics and data management in the UK health sector.    

  

Limited Research / background, provided on key concepts, tools and techniques used for data analytics and data management

in the UK health sector.  with 1 unique concept(s) identified evidenced.

  

  

  

  

Basic

Research/Back ground, provided on key concepts, tools and techniques used for data analytics and data management

in the UK health sector.  with 2 unique concept(s) identified and evidenced

 

    

  

The key concepts, tools and techniques used for data analytics and data management

in the UK health sector. 

with 3 - 5 unique concept(s) identified and evidenced

  

The key concepts, tools and techniques used for data analytics and data

manageme

nt in the UK health sector.  with 3-5 unique concept(s) identified and evidenced, considerin g the ethical and legal aspects 

  

  

The key concepts, tools and techniques used for data analytics and data

manageme

nt in the UK health sector.  with 5-7 unique concept(s) identified and evidenced, considerin g the ethical and legal aspects 

In-depth description of the concepts, tools and techniques used for data analytics and data

manageme

nt in the UK health sector.  with 7 or more unique concept(s) identified and evidenced, considerin g and relating the ethical and legal aspects

Analysis and

Critical

Evaluation

(45%)

No evidence of  key concepts, tools and techniques used for data analytics and data management in the UK health sector.    

 

Provided limited key concepts, tools and techniques used for data analytics and data management in the UK health sector.  With 1 - 2 unique concept(s) identified evidenced. No analysis.

 

Basic Research   / background, provided on key concepts, tools and techniques used for data analytics and data management

in the UK health sector. 

with 1 - 3 unique concept(s) identified evidenced. Written descriptively.

 

Some analysis of the key concepts, tools and techniques used for data analytics and data management in the UK health sector. 

with 3 - 5 unique concept(s) identified evidenced. Ethics and legal aspects considered.

 

 

Good

analysis, provided on key concepts, tools and techniques used for data analytics and data

manageme

nt in the UK health sector.  with 5-7 unique concept(s) identified evidenced and analysed with some relevance to legal and ethical aspects

 

In-depth analysis and critical evaluation of key concepts, tools and techniques used for data analytics and data

manageme

nt in the UK health sector.  with 7-9 unique concept(s) identified evidenced and analysed with evidence on relevance to legal and ethical aspects

 

In-depth analysis and critical evaluation of key concepts, tools and techniques used for data analytics and data

manageme

nt in the UK health sector.  with 10 or more unique concept(s) identified evidenced and analysed with evidence and analysis of the relevance to legal

 

 

 

 

 

 

 

and ethical aspects

 

Recommenda

tion (15%)

No evidence of any recommendatio n, and summary of findings

Recommendat

ion, and summary of findings provided are abstract

Recommendat

ion, and summary of findings provided are an overview with 1-2 evidence from the literature

Recommenda

tion, and summary of findings provided are related to the project, considers the ethical aspects with 3-5 evidence from the literature

Recommen

dation, and summary

of findings provided are relevant to the sector and consider the legal and ethical aspects with 5-7 evidence from the literature

Recommen

dation, and summary

of findings provided are an indepth and related to the project with ethical and legal aspects considered and evidence  with 7 or more evidence literature

Recommen

dation, and summary

of findings provided are an indepth, practical and related to the project with ethical and legal aspects considered and evidence  with 7 or more

Format &

Referencing

(10%) 

Significant difficulty with structure/accura cy in expression and Harvard referencing 

  

  

  

  

  

  

  

  

  

Difficulty with structure/acc uracy in expression  

Some difficulty with structure/accu

racy 

Adequately   structured/m

ainly   accurate in expression  

Logically   structured  /accurate   expression  

Logically   structured/  creative   expression  

Demonstra

tes intellectual originality and imaginatio

n.

 

Level 7 is characterised by an expectation of students’ expertise in their specialism. Students are semi-autonomous, demonstrating independence in the negotiation of assessment tasks (including the major project) and the ability to evaluate, challenge, modify and develop theory and practice. Students are expected to demonstrate an ability to isolate and focus on the significant features of problems and to offer synthetic and coherent solutions, with some students producing original or innovative work in their specialism that is worthy of publication or public performance or display.

Mark Band

s

Outcome

Characteristics of Student Achievement by Marking Band for ARU’s Generic Learning Outcomes (Academic Regulations, Section 2)

Knowledge & Understanding

Intellectual (thinking), Practical, Affective and Transferable Skills

90-

100%

Achieves module outcome(s

)

  

Exceptional analysis of key issues/ concepts/ethics with very clear originality and autonomy.  Exceptional development of conceptual structures and argument making an exceptional use of scholarly conventions. 

Demonstrates exceptional independence of thought and a very high level of intellectual rigour and consistency. Work pushes the boundaries of the discipline and may be considered for external publication.  

Exceptional analysis of key issues/concepts/ ethics.  Exceptional development of conceptual structures and argument, making consistent use of scholarly conventions. Exceptional research skills, independence of thought, an extremely high level of intellectual rigour and consistency, exceptional expressive/professional skills, and substantial creativity and originality. Exceptional academic/ intellectual skills. Work pushes the boundaries of the discipline and may be considered for external publication.  

80-

89%

Outstanding analysis of key issues/ concepts/ethics with

clear originality and autonomy.  Outstanding development of conceptual structures and argument making an exemplary use of scholarly conventions.  Demonstrates outstanding independence of thought and a very high level of intellectual rigour and consistency

Outstanding analysis of key issues/concepts/ ethics.  Outstanding development of conceptual structures and argument, making consistent use of scholarly conventions. Outstanding research skills, independence of thought, a high level of intellectual rigour and consistency, outstanding expressive/professional skills, and considerable creativity and originality. Outstanding academic/intellectual skills

70-

79%

Excellent analysis of key issues/ concepts/ethics.  Excellent development of conceptual structures and

Excellent analysis of key issues/concepts/ethics.  Excellent development of conceptual structures and argument, making consistent use

 

 

 

 

argument making excellent use of scholarly conventions.  Demonstrates excellent independence of thought and a high level of intellectual rigour and consistency.  

of scholarly conventions. Excellent research skills, independence of thought, excellent level of intellectual rigour and consistency, excellent expressive/ professional skills, and considerable creativity and originality. Excellent academic/ intellectual skills, and considerable creativity and originality.  

60-

69%

Good analysis of key issues/concepts/ ethics.  Development of conceptual structures and argument making consistent use of scholarly conventions

Good analysis of key

issues/concepts/ethics.  Development of conceptual structures and argument, making consistent use of scholarly conventions

50-

59%

A marginal

pass in module outcome(s

)

Sound knowledge of key issues/ concepts/ethics in discipline.

Occasionally descriptive but some ability to synthesise scholarship and argument. Minor lapses in use of scholarly conventions.  

Sound knowledge of key issues/concepts/ ethics in discipline. Occasionally descriptive but some ability to synthesise scholarship and argument. Minor lapses in use of scholarly conventions.  

40-

49%

A marginal

fail in

module outcome(s

). Satisfies default

qualifying mark

Limited knowledge of key issues/ concepts/ethics in discipline. Fairly descriptive, with restricted synthesis of existing scholarship and limited argument. Limited use of scholarly conventions.

Limited research skills impede use of learning resources and problem solving. Significant problems with structure/accuracy in expression. Team/Practical/Professional skills not yet secure. Limited academic/ intellectual skills. Limited use of scholarly conventions.  

30-

39%

Fails to achieve module

outcome(s

). 

Qualifying mark not satisfied

  

  

  

  

  

Inadequate evidence of knowledge of key issues/concepts/ethics in

discipline. Largely descriptive, with little synthesis of existing scholarship and inadequate evidence of argument. Inadequate evidence of use of scholarly conventions.

Inadequate evidence of research skills, use of learning resources and problem solving. Major problems with structure/ accuracy in expression. Team/ Practical/Professional skills virtually absent. Inadequate evidence of academic/intellectual skills. Inadequate evidence of use of scholarly conventions.  

20-

29%

Little evidence of knowledge of key issues/concepts/ethics in

discipline.  Largely descriptive, with little synthesis of existing

Little evidence of research skills, use of learning resources and problem solving. Major problems with structure/ accuracy in expression. Team/ Practical/Professional skills virtually absent. Little evidence of

 

 

  

  

  

  

scholarship and little evidence of argument.  Little evidence of use of scholarly conventions.

academic/intellectual skills. Little evidence of use of scholarly conventions

10-

19%

Deficient knowledge of key issues/concepts/ethics in discipline.  Wholly descriptive, with deficient synthesis of existing scholarship and deficient argument.  Deficient use of scholarly conventions.

Deficient use of research skills, learning resources and problem solving. Major problems with structure/accuracy in expression. Team/Practical/Professional skills absent. Deficient

academic/intellectual skills. Deficient use of scholarly conventions

1-9%

No evidence of knowledge of key issues/concepts/ethics in discipline.  Incoherent and completely but poorly descriptive, with no evidence of synthesis of existing scholarship and no argument whatsoever.  No evidence of use of scholarly conventions.

No evidence of use of research skills, learning resources and problem solving. Incoherent structure/accuracy in expression. Team/

Practical/Professional skills nonexistent. No evidence of academic/intellectual skills. No evidence of use of scholarly conventions

0%

Awarded for: (i) non-submission; (ii) dangerous practice and (iii) in situations where the student fails to address the assignment brief (e.g., answers the wrong question) and/or related learning outcomes

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